Cost Analysis of the MBMS Multicast Mode of UMTS

Size: px
Start display at page:

Download "Cost Analysis of the MBMS Multicast Mode of UMTS"

Transcription

1 Cost Analyss of the MBMS Multcast Mode of UMTS Antonos Alexou, Chrstos Bouras, Evangelos Rekkas Research Academc Computer Technology Insttute, Greece and Computer Engneerng and Informatcs Dept., Unv. of Patras, Greece N. Kazantzak str, GR 26500, Patras, Greece Tel: Fax: Emal: Correspondng author: Prof. Chrstos Bouras Abstract Along wth the wdespread deployment of the thrd generaton cellular networks, the fast-mprovng capabltes of the moble devces, content and servce provders are ncreasngly nterested n supportng multcast communcatons over wreless networks and n partcular over Unversal Moble Telecommuncatons System (UMTS). To ths drecton, the thrd Generaton Partnershp Project (3GPP) s currently standardzng the Multmeda Broadcast/Multcast Servce (MBMS) framework of UMTS. In ths paper, we present an overvew of the MBMS multcast mode of UMTS. We analytcally present the multcast mode of the MBMS and analyze ts performance n terms of packet delvery cost under varous network topologes, cell types and multcast users dstrbutons. Furthermore, for the evaluaton of the scheme, we consder dfferent transport channels for the transmsson of the data over the UTRAN nterfaces.. Introducton UMTS consttutes the thrd generaton of cellular wreless networks whch ams to provde hgh-speed data access along wth real tme voce calls. Although UMTS networks offer hgh capacty, the expected demand wll certanly overcome the avalable resources. The 3GPP realzed the need for broadcastng and multcastng n UMTS and proposed some enhancements on the UMTS Release 6 archtecture that led to the defnton of the MBMS framework. MBMS s a pont-to-multpont servce whch allows the networks resources to be shared [9]. Several multcast mechansms for UMTS have been proposed n the lterature. In [], the authors dscuss the use of commonly deployed IP multcast protocols n UMTS networks. However, n [2] the authors do not adopt the use of IP multcast protocols for multcast routng n UMTS. The scheme presented n [2], can be mplemented wthn the exstng network nodes wth only trval changes to the standard locaton update and packet-forwardng

2 2 procedures. Furthermore, n [3] a multcast mechansm for crcut-swtched GSM and UMTS networks s outlned. Fnally, the MBMS framework of UMTS s currently beng standardzed by the 3GPP [5]. In ths paper, we present an overvew of the MBMS multcast mode of UMTS. We analytcally present the multcast mode of the MBMS and analyze ts performance n terms of packet delvery cost under varous network topologes, cell types and multcast users dstrbutons. Furthermore, for the evaluaton of the scheme, we consder dfferent transport channels for the transmsson of the data over the UTRAN nterfaces. 2. Overvew of the UMTS n the Packet Swtched Doman UMTS network s splt n two man domans: the User Equpment (UE) doman and the Publc Land Moble Network (PLMN) doman. The UE doman conssts of the equpment employed by the user to access the UMTS servces. The PLMN doman conssts of two land-based nfrastructures: the Core Network (CN) and the UMTS Terrestral Rado-Access Network (UTRAN) (Fgure ). The CN s responsble for swtchng/routng voce and data connectons, whle the UTRAN handles all rado-related functonaltes. The CN s logcally dvded nto two servce domans: the Crcut-Swtched (CS) servce doman and the Packet-Swtched (PS) servce doman [8], [9]. The PS porton of the CN n UMTS conssts of two knds of General Packet Rado Servce (GPRS) Support Nodes (GSNs), namely Gateway GSN (GGSN) and Servng GSN (SGSN) (Fgure ). SGSN s the centerpece of the PS doman. It provdes routng functonalty nteracts wth databases (lke Home Locaton Regster (HLR)) and manages many Rado Network Controllers (RNCs). SGSN s connected to GGSN va the Gn nterface and to RNCs va the Iu nterface. GGSN provdes the nterconnecton of UMTS network (through the Broadcast Multcast Servce Center) wth other Packet Data Networks (PDNs) lke the Internet. [9]. Fgure. UMTS and MBMS Archtecture UTRAN conssts of two knds of nodes: the frst s the RNC and the second s the Node B. Node B consttutes the base staton and provdes rado coverage to one or more cells (Fgure ). Node B s connected to the User Equpment (UE) va the Uu nterface (based on the W-CDMA technology) and to the RNC va the Iub nterface. One RNC wth

3 3 all the connected to t Node Bs s called Rado Network Subsystem (RNS). In the UMTS PS doman, the cells are grouped nto Routng Areas (RAs), whle the cells n a RA are further grouped nto UTRAN Regstraton Areas (URAs). The moblty-management actvtes for a UE are characterzed by two fnte state machnes: the Moblty Management (MM) and the Rado Resource Control (RRC). The Packet MM (PMM) state machne for the UMTS PS doman s executed between the SGSN and the UE for CN-level trackng, whle the RRC state machne s executed between the UTRAN and the UE for UTRAN-level trackng. After the UE s attached to the PS servce doman, the PMM state machne s n one of the two states: PMM dle and PMM connected. In the RRC state machne, there are three states: RRC dle mode, RRC cell-connected mode, and RRC URA connected mode [7]. 3GPP s currently standardzng the Multmeda Broadcast/Multcast Servce. Actually, the MBMS s an IP datacast type of servce, whch can be offered va exstng GSM and UMTS cellular networks. It conssts of a MBMS bearer servce and a MBMS user servce. The latter represents applcatons, whch offer for example multmeda content to the users, whle the MBMS bearer servce provdes methods for user authorzaton, chargng and Qualty of Servce mprovement to prevent unauthorzed recepton. The major modfcaton n the exstng GPRS platform s the addton of a new entty called Broadcast Multcast - Servce Center (BM-SC). Fgure presents the archtecture of the MBMS. The BM-SC communcates wth the exstng UMTS GSM networks and the external Publc Data Networks [4], [5]. 3. Descrpton of the MBMS Multcast Mode In ths secton we present an overvew of the multcast mode of the MBMS framework. Fgure 2 shows a subset of a UMTS network. In ths archtecture, there are two SGSNs connected to a GGSN, four RNCs, and twelve Node Bs. Furthermore, eleven members of a multcast group are located n sx cells. The BM-SC acts as the nterface towards external sources of traffc [5]. In the presented analyss, we assume that a data stream that comes from an external PDN through BM-SC, must be delvered to the eleven UEs as llustrated n Fgure 2. The analyss presented n the followng paragraphs, covers the forwardng mechansm of the data packets between the BM-SC and the UEs (Fgure 2). Regardng the transmsson of the packets over the Iub and Uu nterfaces, t may be performed on common (ex. Forward Access Channel - FACH) or dedcated (Dedcated Channel - DCH) channels. As presented n [0], the transport channel that the 3GPP decded to use as the man transport channel for pont-tomultpont MBMS data transmsson s the FACH wth turbo codng and QPSK modulaton at a constant

4 4 transmsson power. DCH s a pont-to-pont channel and hence, t suffers from the neffcences of requrng multple DCHs to carry the data to a group of users. However, DCH can employ fast closed-loop power control and soft handover mechansms and generally s a hghly relable channel [9], []. Fgure 2. Packet delvery n UMTS Wth multcast, the packets are forwarded to those Node Bs that have multcast users. Therefore, n Fgure 2, the Node Bs 2, 3, 5, 7, 8, 9 receve the multcast packets ssued by the BM-SC. We brefly summarze the fve steps occurred for the delvery of the multcast packets. Frstly, the BM-SC receves a multcast packet and forwards t to the GGSN that has regstered to receve the multcast traffc. Then, the GGSN receves the multcast packet and by queryng ts multcast routng lsts, t determnes whch SGSCs have multcast users resdng n ther respectve servce areas. In Fgure 2, the GGSN duplcates the multcast packet and forwards t to the SGSN and the SGSN2 [3]. Then, both destnaton SGSNs receve the multcast packets and, havng quered ther multcast routng lsts, determne whch RNCs are to receve the multcast packets. The destnaton RNCs receve the multcast packet and send t to the Node Bs that have establshed the approprate rado bearers for the multcast applcaton. In Fgure 2, these are Node B2, B3, B5, B7, B8, B9. The multcast users receve the multcast packets on the approprate rado bearers, ether by pont-to-pont channels transmtted to ndvdual users separately or by common channels transmtted to all members n the cell. In our analyss, we consder transport channels such as FACH and DCH [3]. 4. Cost Analyss of the MBMS Multcast Mode 4. General assumptons We consder a subset of a UMTS network consstng of a sngle GGSN and N SGSN SGSN nodes connected to the GGSN. Furthermore, each SGSN manages a number of N ra RAs. Each RA conssts of a number of N rnc RNC nodes, whle each RNC node manages a number of N ura URAs. Fnally, each URA conssts of N nodeb cells. The total number of RAs, RNCs, URAs and cells are:

5 5 NRA= NSGSN Nra () NRNC = NSGSN Nra Nrnc (2) NURA = NSGSN Nra Nrnc Nura (3) NNODEB = NSGSN Nra Nrnc Nura Nnodeb (4) The total transmsson cost for packet delveres ncludng pagng s consdered as the performance metrc. Furthermore, the cost for pagng s dfferentated from the cost for packet delveres. We make a further dstncton between the processng costs at nodes and the transmsson costs on lnks, both for pagng and packet delveres. As presented n [6] and analyzed n [2], we assume that there s a cost assocated wth each lnk and each node of the network, both for pagng and packet delveres. For the analyss, we apply the followng notatons: D gs D sr D rb D DCH D FACH S sr S rb S a p gm p sm p rm p b a s a r a b Tx cost of packet delvery between GGSN and SGSN Tx cost of packet delvery between SGSN and RNC Tx cost of packet delvery between RNC and Node B Tx cost of packet delvery over Uu wth DCHs Tx cost of packet delvery over Uu wth FACHs Tx cost of pagng between SGSN and RNC Tx cost of pagng between RNC and Node B Tx cost of pagng over the ar Processng cost of multcast packet delvery at GGSN Processng cost of multcast packet delvery at SGSN Processng cost of multcast packet delvery at RNC Processng cost of packet delvery at Node B Processng cost of pagng at SGSN Processng cost of pagng at RNC Processng cost of pagng at Node B The total number of the multcast UEs n the network s denoted by N UE. For the cost analyss, we defne the total packets per multcast sesson as N p. Snce network operators wll typcally deploy an IP backbone network between the GGSN, SGSN and RNC, the lnks between these nodes wll consst of more than one hop. Addtonally, the dstance between the RNC and Node B conssts of a sngle hop (l rb = ). In the presented analyss we assume that the dstance between GGSN and SGSN s l gs hops, whle the dstance between the SGSN and RNC s l sr hops. We assume that the probablty that a UE s n PMM detached state s P DET, the probablty that a UE s n PMM dle/rrc dle state s P RA, the probablty that a UE s n PMM connected/rrc URA connected state s P URA, and fnally the probablty that a UE s n PMM connected/rrc cell-connected state s P cell. In the remander of ths secton, we descrbe a method that models the multcast user dstrbuton n the network. In partcular, we present a probablstc method that calculates the number of multcast users n the network (N UE ), the number of SGSNs that serve multcast users (n SGSN ), the number of RNCs that serve multcast users (n RNC ) and fnally the number of Node Bs that serve multcast members (n NODEB ). As ntroduced n [3] and analyzed n [2], we classfy the RAs nto L RA categores. For L RA there are N

6 6 RAs of class. Therefore, the total number of RAs wthn the network s N RA LRA = N. Suppose that the dstrbuton of the multcast users among the classes of RAs follows the Posson dstrbuton wth = λ θ ( RA ) = where L RA. In general, the probablty that k exactly multcast users resde n the RAs of class s calculated from the followng equaton: (, θ ) p k θ ( θ ) k e = (5) k! Thus, the probablty none of the RAs of class serves multcast users s p( 0, θ ) e θ that the probablty at least one multcast user s served by the RAs of class s ( θ ) N Snce every class conssts of ( ) ( ) RA e θ ( RA ) =, whch n turn means p = p 0, = e θ. N RAs, the total number of the RAs n the class, that serve multcast users s. Thus, the total number of the RAs of every class that serve multcast users s: LRA nra = N e θ (6) = ( ) ( ) RA where θ represents the number of multcast users for the N RAs of class. ( RA ) If there are n RA RAs that are servng multcast users, the probablty that an SGSN does not have any such RA s: NRA Nra NRA /, nra NRA Nra psgsn = nra nra (7), othewse 0 Based on eqn (7), the total number of SGSNs that are servng multcast users can be calculated as follows: ( ) n = N p SGSN SGSN SGSN. The total number of multcast users n the network s: L RA UE = N = N θ (8) where θ s the number of multcast users n a RA of class. As n [2], we assume that all RNCs wthn a servce area of class have the same multcast populaton dstrbuton densty as n the RA case. Based on a unform densty dstrbuton wthn a sngle RA, the multcast populaton of an RNC wthn the servce area of a class RA s θ ( RNC ) θ = Nrnc. The total number of RNCs of class s

7 7 N = N Nrnc. ( RNC ) Assumng that the number of RA categores s equal to the number of RNC categores (L RNC =L RA ), the total number of RNCs that serve multcast users s: RNC LRNC ( RNC ) (9) = ( ) ( RNC n = N e θ The same are appled to the cells wthn the servce area of an RNC. The average number of multcast users for a ( sngle cell of class s B ) ( RNC) θ θ ( N N ) =. ura nodeb ) The number of Node Bs belongng to class s N = N N N ( B) ( RNC) ura nodeb. Assumng that the number of the RNC categores s equal to the number of the Node B categores (LRNC=L NODEB ), the total number of Node Bs that serve multcast users s: NODEB LNODEB ( ) ( ( B ) B ) = n = N e θ (0) 4.2 Cost Analyss of the Multcast Mode In the multcast scheme, the multcast group management s performed at the BM-SC, GGSN, SGSN and RNC and multcast tunnels are establshed over the Gn and Iu nterfaces. It s obvous that the cost of a sngle packet delvery to a multcast user depends on ts MM and RRC state. If the multcast member s n PMM connected/rrc cell-connected state, then there s no need for any pagng procedure nether from the SGSN nor from the servng RNC. In ths case, the packet delvery cost s derved from eqn(). It has to be mentoned that ths quantty does not nclude the cost for the transmsson of the packets over the Iub and Uu nterfaces snce ths cost depends frstly on the number of multcast users and secondly on the transport channel used for data transmsson. Ccell = pgm + Dgs + psm + Dsr + prm () If the multcast member s n PMM connected/rrc URA connected state, then the RNC must frst page all the cells wthn the URA n whch moble users resde and then proceeds to the data transfer. After the subscrber receves the pagng message from the RNC, t returns to the RNC ts cell ID. The cost for pagng such a multcast member s: ( ) C = N S + a + S + S + a + S +a (2) URA nodeb rb b a a b rb r

8 8 If the multcast member s n PMM dle/rrc dle state, the SGSN only stores the dentty of the RA n whch the user s located. Therefore, all cells n the RA must be paged. The cost for pagng such a multcast member s: ( ) ( ) ( ) C = N S + a + N N N S + a + S + S + a + S + a + S + a (3) RA rnc sr r rnc ura nodeb rb b a a b rb r sr s After the pagng procedure, the RNC stores the locaton of any UE at a cell level. In multcast, the SGSN and the RNC forward a sngle copy of each multcast packet to those RNCs or Node Bs respectvely that are servng multcast users. After the correct multcast packet recepton at the Node Bs that serve multcast users, the Node Bs transmt the multcast packets to the multcast users va common or dedcated transport channels. The total cost for the multcast scheme s derved from the followng equaton where n SGSN, n RNC, n NODEB represent the number of SGSNs, RNCs, Node Bs respectvely that serve multcast users. ( ) ( ) ( ) _ Ms = p + n D + p + n D + p + Y N + P C + P C N = D + D gm SGSN gs sm RNC sr rm p RA RA URA URA UE packet delvery pagng (4) where ( ) ( ), n NODEB Drb + pb + DFACH, f channel = FACH Y = NUE Drb + pb + DDCH f channel = DCH ( ) ( ) ( ) D = p n D p n D p Y N D = P C + P C N packet _ delvery gm SGSN gs sm RNC sr rm p pagng RA RA URA URA UE Parameter Y represents the multcast cost for the transmsson of the multcast data over the Iub and Uu nterfaces. Ths cost depends manly on the dstrbuton of the multcast group wthn the UMTS network and secondly on the transport channel that s used. In case we use the FACH as transport channel, each multcast packet send once over the Iub nterface and then the packet s transmtted to the UEs that served by the correspondng Node B. However, n case we use DCHs for the transmsson of the multcast packets over the Iub each packet s replcated over the Iub as many tmes as the number of multcast users that the correspondng Node B serves. 5. Evaluaton of the MBMS Multcast Mode In ths secton we present some evaluaton results regardng the MBMS multcast mode performance under dfferent cell confguratons, dfferent user dstrbutons and fnally dfferent transport channels for the transmsson of the multcast data over the UTRAN nterfaces. Therefore, we assume a general network topology, wth N SGSN =0, N ra =0, N rnc =0, N ura =5 and N nodeb =5. 5. Evaluatons Parameters The packet transmsson cost (D xx ) n any segment of the UMTS network depends on two parameters: the number of hops between the edge nodes of ths network segment and the capacty of the lnk of the network segment. Ths

9 9 means that D gs = l gs /k gs, D sr =l sr /k sr and D rb =l rb /k rb. Parameter k xx represents the profle of the correspondng lnk between two UMTS network nodes. More specfcally, n the hgh capacty lnks at the CN, the values of k xx are greater than the correspondng values n the low capacty lnks at UTRAN. For the cost analyss and wthout loss of generalty, we assume that the dstance between the GGSN and SGSN s 8 hops, the dstance between SGSN and RNC s 4 hops and the dstance between RNC and Node B s hop. The above parameters as well as the values of the k xx are presented n detal n Table. Regardng the transmsson cost of pagng (S xx ) n the segments of the UMTS network, t s calculated n a smlar way as the packet transmsson cost (D xx ). More specfcally, S xx s a fracton of the calculated transmsson cost (D xx ) and n our case we assume that t s three tmes smaller than D xx. Lnk Lnk Capacty factor (k) Number of hops (l) Transmsson cost (D) GGSN-SGSN k gs = 0.8 l gs = 8 D gs = 0 SGSN-RNC k sr = 0.7 l sr = 4 D sr = 4/0.7 RNC Node B k rb = 0.5 l rb = D rb = 2 Table. Chosen values for the calculaton of transmsson costs n the lnks As we can observe from the equatons of the prevous secton, the costs of the schemes depend on a number of other parameters. Thus, we have to estmate the value of these parameters. The chosen values of the parameters are presented n Table 2. S sr S rb S a p gm p sm p rm p b a s a r a b P RA P URA P cell 4/2. 2/3 4/ Table 2. Chosen parameters values Regardng the transmsson over the Uu, two dfferent transport channels are examned: the DCH and the FACH. The fundamental parameter that defnes the transmsson cost over the ar (D DCH, and D FACH for DCH and FACH respectvely) s the amount of Node B s transmsson power that must be allocated for these two transport channels. More specfcally, a FACH channel essentally transmts at a fxed power level snce fast power control s not supported n ths channel. A FACH channel must be receved by all UEs throughout the cell. Consequently, the fxed power should be hgh enough to ensure the requested QoS n the whole coverage area of the cell and ndependently of the locaton of UEs. Ths means that the parameter D FACH represents the cost of usng a FACH channel to serve all the multcast users resdng n a specfc cell. The total downlnk transmsson power allocated for DCHs s varable and manly depends on the number of UEs, ther locatons throughout the cell, the requred bt rate of the MBMS servce and the experenced sgnal qualty (E b /N 0 ) for each user. Eqn(5) calculates the total Node B s transmsson power requred for the transmsson of the data to n users n a specfc cell [2]. The total Node B s transmsson power s the sum of the Node B s power

10 0 allocated to each DCH user n the cell. Ths means that the parameter D DCH represents the cost of usng a sngle DCH channel to serve one multcast user n a specfc cell. P P = b n N b, 0 T = PT = n = p P + n = ( PN + x) L W + p E ( ) R W E ( b ) R N 0 b, + p p, (5) where P s the base staton total transmtted power, P s the power devoted to the th user, P s the power T T P devoted to common control channels L p, s the path loss, Rb, the th user transmsson rate, W the bandwdth, P N the background nose, p s the orthogonalty factor and x s the ntercell nterference observed by the th user gven as a functon of the transmtted power by the neghborng cells P Tj, j =, K and the path loss from ths user to the th j cell L j. More specfcally: x K Tj = (6) j= P L j At ths pont, we have to menton that snce the nodes that are responsble for the forwardng of the multcast packets are the GGSN, SGSN and the RNC, we consder a lower packet processng cost n the Node B than the correspondng costs n the GGSN, SGSN and RNC snce some overhead s needed n the above mentoned three nodes n order to mantan the routng lsts requred for the packet forwardng n the multcast scheme. Furthermore, we have chosen approprately the probabltes P RA, P URA and P cell More specfcally, the probablty that a UE s n PMM dle/rrc dle state s P RA =0.6. The probablty that a UE s n PMM connected/rrc URA connected state s P URA =0.2 and the probablty that a UE s n PMM connected/rrc cell-connected state s P cell =0.. Addtonally, there s a probablty that the UE s not reachable by the network and we consder t to be 0.. It s true that the performance of the three schemes depends manly, on the confguraton of the UMTS network that s under nvestgaton. In our analyss, we assume that we have two classes of RAs. A class = RA has multcast user populaton of θ = /δ and a class =2 RA has a multcast user populaton of θ 2 = δ. If δ >>, the class = RA has a small multcast user populaton and the class =2 RA has a large multcast user populaton. Let α be the proporton of the class = RAs and (-α) be the proporton of the class =2 RAs [3]. Thus, the number of class =

11 RAs s N =αnra and the number of class =2 RAs s N =(-α)nra. Each RA of class {,2} s n turn subdvded nto N rnc RNCs of the same class and smlarly, each RNC of class {,2} s subdvded nto 2 N ura N nodeb Node Bs of the same class. Take nto consderaton the above mentoned parameters, eqn(8) can be transformed to eqn(7). It s obvous from eqn(7) that as α decreases and δ ncreases the number of multcast users ncreases rapdly. 2 α NUE = N θ = N θ+ N2 θ2 = NRA + δ = δ αδ (7) For the cost analyss of the MBMS multcast mode, we consder the cases of urban macrocell (hexagonal, 3-sector cells, 000m ste-to-ste dstance) and urban mcrocell (Manhattan grd wth 360m base staton spacng) envronments wth Vehcular A and Pedestran A multpath channel models respectvely. Moreover, an 64kbps MBMS servce s assumed. The basc smulaton parameters are presented n Table 3 [4], [5], [6]. Parameters Macro Cell Mcro Cell BS Max Tx Power 43dBm 33dBm Common channel power 30dBm 20dBm orthogonalty factor Downlnk Eb/N 0, 5dB 6.5dB Other-to-own cell nterference rato Multpath channel Vehcular A (3km/h) Pedestran A (3km/h) Propagaton model Okumura Hata Walfsch-Ikegam FACH Tx Power (no STTD, 95% coverage) 7.6 W(38% of BS Tx Power) 0.36 W (8% of BS Tx Power) Table 3. Smulaton Parameters In our analyss, we calculate n each cell of the network topology the Node B s power n the case of usng DCHs or FACH. Then, by comparng these power values wth the total avalable Node B s transmsson power of any cell, we select the approprate values for the D DCH, and D FACH. Obvously the values D DCH, and D FACH are proportonal to the percentage of the Node B s transmsson power allocated to DCH or FACH n any cell. The D DCH, and D FACH values are then used n eqn(4) that calculates the total telecommuncaton cost of the MBMS multcast mode. At ths pont t should be remnded that the D FACH represents the cost of usng a FACH channel to serve all the multcast users resdng n a specfc cell whle the D DCH represents the cost of usng a sngle DCH to transmt the multcast data to a multcast user of the network. Thus, the total cost of usng DCHs to transmt the multcast data n a cell s the sum of the D DCH values n the correspondng cell. Furthermore, we assume that the mnmum value that the total D DCH, per cell and the D FACH could take s the value of 0 snce ths value s the cost of the data transmsson n the wred lnk between the GGSN and the SGSN and generally the transmsson cost n a wred lnk s assumed to be

12 2 lower than the transmsson cost n a wreless lnk. 5.2 Results In Fgure 3 the total costs for the multcast mode usng dfferent transport channels and cell envronments n functon of α are presented. From these plots we can see that the costs decrease as α ncreases. Ths occurs because as α ncreases the number of RAs wth no multcast users ncreases and hence the multcast users are located n a small number of RAs. (a) (b) Fgure 3. Total cost n functon of α wth (a) δ = 300, (b) δ = 3000 More specfcally, n Fgure 3a the cost n case we use DCHs s smaller than the cost n case we use a FACH channel both n macro and mcro envronments. Ths occurs because the small value of δ, results to a reduced number of UEs n the network and hence the DCH s more effcent for the data transmsson n terms of total cost. The opposte occurs n Fgure 3b where the value of δ s ncreased, whch means that the number of UEs s also ncreased. Therefore, the use of DCHs s neffcent for the transmsson of the data over the Iub and Uu nterfaces whle the FACH s the most sutable transport channel n terms of total cost. In Fgure 4, the total costs usng dfferent transport channels and cell envronments n functon of δ are presented. We choose a small value for the parameter α because the multcast mode becomes effcent when there s an ncreased densty of UEs n the network. Therefore, a value of α=0. s chosen whch means that there are many RAs n the network wth a great number of multcast users n these. From Fgure 4, t s clear that as parameter δ ncreases (whch means that the number of multcast users ncreases), the total cost for all cases ncreases too. However, the ncrease n total cost for DCHs s greater than that of FACH due to the fact that a DCH s a pont-to-pont channel and strongly depends on the number of multcast users.

13 3 Fgure 4. Total cost n functon of δ, α = 0. More specfcally, n Fgure 4, we observe that for small values of δ, the total cost usng DCHs s small because there s a small number of UEs n the network, whle for bgger values of δ, whch mples bgger number of UEs, the total cost usng DCHs overcomes the cost of usng FACH. Thus, for small values of δ the use of DCHs s more effcent whle for bgger values of δ, the use of FACH s more approprate. The swtchng pont between multple DCHs and a sngle FACH, n terms of total transmsson cost, s 4 UEs (or δ=000) for a macro cell and 2 UEs (or δ=500) for a mcro cell as shown n Fgure 4. Ths means that, n the case of a macro cell, for 4 UEs and above a FACH should be used, whle for less than 4 UEs the use of multple DCHs s the more effcent choce. (a) (b) Fgure 5. Swtchng pont for (a) macro cell, (b) mcro cell In Fgure 5a, the total Node B s transmsson power for a macro cell when usng multple DCHs and a sngle FACH s presented. Smlarly, n Fgure 5b the same power profles are presented but for the case of a mcro cell. From Fgure 5a, t s obvous that for a macro cell, by takng nto account only the Node B s transmsson power, the swtchng pont between DCH and FACH channels s 7 UEs per cell, whle from Fgure 5b the swtchng pont for a

14 4 mcro cell s 4 UEs. However, as shown prevously n Fgure 4, these swtchng ponts are reduced to 4 UEs and 2 UEs for macro and mcro cells respectvely, when takng nto account the total transmsson cost and not just the Node B s transmsson power. Ths reducton s caused by the addtonal cost ntroduced by the Iub nterface, representng the transmsson cost of packet delvery between RNC and Node B. Recall from eqn(4) that computes the total cost of the multcast scheme, the parameter Y represents the multcast cost for the transmsson of the multcast data over the Iub and Uu nterfaces. The cost added from Iub s not neglgble and depends on the lnk capacty whch s, however, operator dependent. For the smulatons presented above, the lnk capacty factor was set to k rb = 0.5. For greater values of k rb, the swtchng ponts converge to the values presented n Fgure 5. From the above observaton, t s clear that the selecton of an approprate rado bearer for the multcast data transmsson s dramatcally affected by the cost added by the Iub nterface. The Node B s transmsson power should not be the only crteron for the selecton of a transport channel, but the total transmsson cost (ncludng the Iub cost) should always be taken nto account. 6. Conclusons and Future Work In ths paper we presented an overvew of the MBMS multcast mode of UMTS. We nvestgated the performance of the multcast mode of the MBMS n terms of packet delvery cost through an analytc theoretcal model and by smulatons based on ths model. The nvestgatons were made assumng varous network topologes, cell envronments and multcast users dstrbutons. In addton, we examned the DCH and FACH transport channels n terms of data transmsson cost over the Iub and Uu nterfaces. The step that follows ths work s to examne the total transmsson cost of HS-DSCH ntroduced n the Release 5 of UMTS as the transport channel for the transmsson of the MBMS data n Iub and Uu nterfaces. Addtonally, an algorthm for the optmzaton of the multcast data transmsson over the Iub could be developed. References [] Hauge M, Kure O. Multcast n 3G networks: Employment of exstng IP multcast protocols n UMTS. 5th ACM Internatonal Workshop on Wreless Moble Multmeda [2] Rummler R, Chung Y, Aghvam H. Modelng and Analyss of an Effcent Multcast Mechansm for UMTS. IEEE Transactons on Vehcular Technology 2005; 54() [3] Ln Y. A multcast mechansm for moble networks. IEEE Communcaton Letters 200; 5()

15 5 [4] 3GPP TS V7..0. Techncal Specfcaton Group Servces and System Aspects; Multmeda Broadcast/Multcast Servce; Stage (Release 7) [5] 3GPP TS V Techncal Specfcaton Group Servces and System Aspects; Multmeda Broadcast/Multcast Servce (MBMS); Archtecture and functonal descrpton (Release 6) [6] Ho J, Akyldz I. Local anchor scheme for reducng sgnalng costs n personal communcatons networks. IEEE/ACM Transactons on Networkng 996; 4(5) [7] Yang S, Ln Y. Performance evaluaton of locaton management n UMTS. IEEE Transactons on Vehcular Technology 2003; 52(6) [8] 3GPP TS V Techncal Specfcaton Group Servces and System Aspects; General Packet Rado Servce (GPRS); Servce descrpton; Stage 2 (Release 7) [9] Holma H, Toskala A. WCDMA for UMTS: Rado Access for Thrd Generaton Moble Communcatons. John Wley & Sons ISBN [0] 3GPP, TR v6..0. Techncal Specfcaton Group Servces and System Aspects; Multmeda Broadcast/Multcast Servce; Archtecture and functonal descrpton (Release 6). [] Bon A, Launay E, Menvlle T, Stuckmann P. Multmeda Broadcast Multcast Servce Technology Overvew and Servce Aspects. Ffth IEE Internatonal Conference on 3G Moble Communcaton Technologes (3G 2004) [2] Romero J, Sallent O, Agust R, Daz-Guerra M. Rado Resource Management Strateges n UMTS. John Wley & Sons ISBN [3] Alexou A, Antonells D, Bouras C, Papazos A. An Effcent Multcast Packet Delvery Scheme for UMTS. The 9-th ACM/IEEE Internatonal Symposum on Modelng, Analyss and Smulaton of Wreless and Moble Systems (MSWM 2006) [4] 3GPP TR 0.02 V Unversal Moble Telecommuncatons System (UMTS); Selecton procedures for the choce of rado transmsson technologes of the UMTS (UMTS verson 3.2.0). [5] Czerepnsk P, Chapman T, Krause J. Coverage and plannng aspects of MBMS n UTRAN. Ffth IEE Internatonal Conference on 3G Moble Communcaton Technologes (3G 2004) [6] 3GPP TS v6.0.0, Techncal Specfcaton Group Rado Access Network; S-CCPCH performance for MBMS, (Release 6).

Evaluating Different One to Many Packet Delivery Schemes for UMTS

Evaluating Different One to Many Packet Delivery Schemes for UMTS Evaluatng Dfferent One to Many Packet Delvery Schemes for UMTS Antonos Alexou, Dmtros Antonells, Chrstos Bouras Research Academc Computer Technology Insttute, Greece and Computer Engneerng and Informatcs

More information

Cost Analysis and Efficient Radio Bearer Selection for Multicasting over UMTS

Cost Analysis and Efficient Radio Bearer Selection for Multicasting over UMTS Cost Analyss and Effcent Rado Bearer Selecton for Multcastng over UMTS Antonos Alexou, Chrstos Bouras, Vasleos Kokknos, Evangelos Rekkas Research Academc Computer Technology Insttute, Greece and Computer

More information

Multicast in UMTS: Evaluation and recommendations

Multicast in UMTS: Evaluation and recommendations WIRELESS COMMUNICATIONS AND MOBILE COMPUTING Wrel. Commun. Mob. Comput. 2008; 8:463 481 Publshed onlne 10 October 2006 n Wley InterScence (www.nterscence.wley.com).464 Multcast n UMTS: Evaluaton and recommendatons

More information

EVALUATION OF THE MULTICAST MODE OF MBMS

EVALUATION OF THE MULTICAST MODE OF MBMS EVALUATIO OF THE MULTICAST MODE OF MBMS Antonios Alexiou, Christos Bouras, Vasileios Kokkinos, Evangelos Rekkas Research Academic Computer Technology Institute, Greece and Computer Engineering and Informatics

More information

MBMS Power Planning in Macro and Micro Cell Environments

MBMS Power Planning in Macro and Micro Cell Environments MBMS Power Planning in Macro and Micro Cell Environments Antonios Alexiou, Christos Bouras, Vasileios Kokkinos, Evangelos Rekkas Research Academic Computer Technology Institute, Greece and Computer Engineering

More information

Comparative Analysis of Reuse 1 and 3 in Cellular Network Based On SIR Distribution and Rate

Comparative Analysis of Reuse 1 and 3 in Cellular Network Based On SIR Distribution and Rate Comparatve Analyss of Reuse and 3 n ular Network Based On IR Dstrbuton and Rate Chandra Thapa M.Tech. II, DEC V College of Engneerng & Technology R.V.. Nagar, Chttoor-5727, A.P. Inda Emal: chandra2thapa@gmal.com

More information

Resource Allocation Optimization for Device-to- Device Communication Underlaying Cellular Networks

Resource Allocation Optimization for Device-to- Device Communication Underlaying Cellular Networks Resource Allocaton Optmzaton for Devce-to- Devce Communcaton Underlayng Cellular Networks Bn Wang, L Chen, Xaohang Chen, Xn Zhang, and Dacheng Yang Wreless Theores and Technologes (WT&T) Bejng Unversty

More information

MBMS Power Planning in Macro and Micro Cell Environments

MBMS Power Planning in Macro and Micro Cell Environments 1 MBMS Power Planning in Macro and Micro Cell Environments Antonios Alexiou, Christos Bouras, Vasileios Kokkinos, Evangelos Rekkas Research Academic Computer Technology Institute, Greece and Computer Engineering

More information

Calculation of the received voltage due to the radiation from multiple co-frequency sources

Calculation of the received voltage due to the radiation from multiple co-frequency sources Rec. ITU-R SM.1271-0 1 RECOMMENDATION ITU-R SM.1271-0 * EFFICIENT SPECTRUM UTILIZATION USING PROBABILISTIC METHODS Rec. ITU-R SM.1271 (1997) The ITU Radocommuncaton Assembly, consderng a) that communcatons

More information

Resource Control for Elastic Traffic in CDMA Networks

Resource Control for Elastic Traffic in CDMA Networks Resource Control for Elastc Traffc n CDMA Networks Vaslos A. Srs Insttute of Computer Scence, FORTH Crete, Greece vsrs@cs.forth.gr ACM MobCom 2002 Sep. 23-28, 2002, Atlanta, U.S.A. Funded n part by BTexact

More information

A Power Control Scheme for Efficient Radio Bearer Selection in MBMS

A Power Control Scheme for Efficient Radio Bearer Selection in MBMS A Power Control Scheme for Efficient Radio Bearer Selection in MBMS Antonios Alexiou, Christos Bouras, Evangelos Rekkas Research Academic Computer Technology Institute, Greece and Computer Engineering

More information

Power Efficient Radio Bearer Selection in MBMS Multicast Mode

Power Efficient Radio Bearer Selection in MBMS Multicast Mode Power Efficient Radio Bearer Selection in MBMS Multicast Mode Antonios Alexiou, Christos Bouras, Vasileios Kokkinos, Evangelos Rekkas Research Academic Computer Technology Institute, Greece and Computer

More information

QoS-Based Performance and Resource Management in 3G Wireless Networks in Realistic Environments

QoS-Based Performance and Resource Management in 3G Wireless Networks in Realistic Environments The Internatonal Arab Journal of Informaton Technology, Vol. 1, o. 1, January 213 1 QoS-Based Performance and Resource Management n 3G Wreless etworks n Realstc Envronments Aymen Issa Zrekat Department

More information

Approximating User Distributions in WCDMA Networks Using 2-D Gaussian

Approximating User Distributions in WCDMA Networks Using 2-D Gaussian CCCT 05: INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS, AND CONTROL TECHNOLOGIES 1 Approxmatng User Dstrbutons n CDMA Networks Usng 2-D Gaussan Son NGUYEN and Robert AKL Department of Computer

More information

A MODIFIED DIRECTIONAL FREQUENCY REUSE PLAN BASED ON CHANNEL ALTERNATION AND ROTATION

A MODIFIED DIRECTIONAL FREQUENCY REUSE PLAN BASED ON CHANNEL ALTERNATION AND ROTATION A MODIFIED DIRECTIONAL FREQUENCY REUSE PLAN BASED ON CHANNEL ALTERNATION AND ROTATION Vncent A. Nguyen Peng-Jun Wan Ophr Freder Computer Scence Department Illnos Insttute of Technology Chcago, Illnos vnguyen@t.edu,

More information

Impact of Interference Model on Capacity in CDMA Cellular Networks. Robert Akl, D.Sc. Asad Parvez University of North Texas

Impact of Interference Model on Capacity in CDMA Cellular Networks. Robert Akl, D.Sc. Asad Parvez University of North Texas Impact of Interference Model on Capacty n CDMA Cellular Networks Robert Akl, D.Sc. Asad Parvez Unversty of North Texas Outlne Introducton to CDMA networks Average nterference model Actual nterference model

More information

Topology Control for C-RAN Architecture Based on Complex Network

Topology Control for C-RAN Architecture Based on Complex Network Topology Control for C-RAN Archtecture Based on Complex Network Zhanun Lu, Yung He, Yunpeng L, Zhaoy L, Ka Dng Chongqng key laboratory of moble communcatons technology Chongqng unversty of post and telecommuncaton

More information

熊本大学学術リポジトリ. Kumamoto University Repositor

熊本大学学術リポジトリ. Kumamoto University Repositor 熊本大学学術リポジトリ Kumamoto Unversty Repostor Ttle Wreless LAN Based Indoor Poston and Its Smulaton Author(s) Ktasuka, Teruak; Nakansh, Tsune CtatonIEEE Pacfc RIM Conference on Comm Computers, and Sgnal Processng

More information

RESOURCE CONTROL FOR HYBRID CODE AND TIME DIVISION SCHEDULING

RESOURCE CONTROL FOR HYBRID CODE AND TIME DIVISION SCHEDULING RESOURCE CONTROL FOR HYBRID CODE AND TIME DIVISION SCHEDULING Vaslos A. Srs Insttute of Computer Scence (ICS), FORTH and Department of Computer Scence, Unversty of Crete P.O. Box 385, GR 7 Heraklon, Crete,

More information

MODEL OF I UB INTERAFCE IN THE UMTS NETWORK

MODEL OF I UB INTERAFCE IN THE UMTS NETWORK POZNAN UNIVERSITY OF TECHNOLOGY ACADEMIC JOURNALS Macej STASIAK* Janusz WIEWIÓRA** Potr ZWIERZYKOWSKI* 2007 Poznańske Warsztaty Telekomunkacyjne Poznań 6-7 grudna 2007 MODEL OF I UB INTERAFCE IN THE UMTS

More information

A Novel Optimization of the Distance Source Routing (DSR) Protocol for the Mobile Ad Hoc Networks (MANET)

A Novel Optimization of the Distance Source Routing (DSR) Protocol for the Mobile Ad Hoc Networks (MANET) A Novel Optmzaton of the Dstance Source Routng (DSR) Protocol for the Moble Ad Hoc Networs (MANET) Syed S. Rzv 1, Majd A. Jafr, and Khaled Ellethy Computer Scence and Engneerng Department Unversty of Brdgeport

More information

High Speed, Low Power And Area Efficient Carry-Select Adder

High Speed, Low Power And Area Efficient Carry-Select Adder Internatonal Journal of Scence, Engneerng and Technology Research (IJSETR), Volume 5, Issue 3, March 2016 Hgh Speed, Low Power And Area Effcent Carry-Select Adder Nelant Harsh M.tech.VLSI Desgn Electroncs

More information

Enhanced Uplink Scheduling for Continuous Connectivity in High Speed Packet Access Systems

Enhanced Uplink Scheduling for Continuous Connectivity in High Speed Packet Access Systems Int. J. Communcatons, Network and System Scences, 212, 5, 446-453 http://dx.do.org/1.4236/jcns.212.5855 Publshed Onlne August 212 (http://www.scrp.org/journal/jcns) Enhanced Uplnk Schedulng for Contnuous

More information

High Speed ADC Sampling Transients

High Speed ADC Sampling Transients Hgh Speed ADC Samplng Transents Doug Stuetzle Hgh speed analog to dgtal converters (ADCs) are, at the analog sgnal nterface, track and hold devces. As such, they nclude samplng capactors and samplng swtches.

More information

Keywords LTE, Uplink, Power Control, Fractional Power Control.

Keywords LTE, Uplink, Power Control, Fractional Power Control. Volume 3, Issue 6, June 2013 ISSN: 2277 128X Internatonal Journal of Advanced Research n Computer Scence and Software Engneerng Research Paper Avalable onlne at: www.jarcsse.com Uplnk Power Control Schemes

More information

Traffic Modeling and Performance Evaluation in GSM/GPRS Networks

Traffic Modeling and Performance Evaluation in GSM/GPRS Networks Proceedngs of the 3th WSEAS Internatonal Conference on COMMUNICATIONS Traffc Modelng and Performance Evaluaton n GSM/ Networks Cornel Balnt, Georgeta Budura, Marza Eugen Poltehnca Unversty of Tmsoara Bd..

More information

Capacity improvement of the single mode air interface WCDMA FDD with relaying

Capacity improvement of the single mode air interface WCDMA FDD with relaying 2004 Internatonal Workshop on Wreless Ad-Hoc Networks Capacty mprovement of the sngle mode ar nterface WCDMA FDD wth relayng H. Nourzadeh, S. Nourzadeh and R. Tafazoll Centre for Comnurcaton Systems Research

More information

Evaluation of Different Power Saving Techniques for MBMS Services

Evaluation of Different Power Saving Techniques for MBMS Services Evaluation of Different Power Saving Techniques for MBMS Services Antonios Alexiou, Christos Bouras, Vasileios Kokkinos Research Academic Computer Technology Institute, Greece and Computer Engineering

More information

MTBF PREDICTION REPORT

MTBF PREDICTION REPORT MTBF PREDICTION REPORT PRODUCT NAME: BLE112-A-V2 Issued date: 01-23-2015 Rev:1.0 Copyrght@2015 Bluegga Technologes. All rghts reserved. 1 MTBF PREDICTION REPORT... 1 PRODUCT NAME: BLE112-A-V2... 1 1.0

More information

10 9 Channel on time. sec

10 9 Channel on time. sec Blockng of dynamc multcast connectons n a sngle lnk COST 257TD(97)46 Joun Karvo 1, Jorma Vrtamo 2, Samul Aalto 2, Oll Martkanen 1 fjoun.karvo,jorma.vrtamo,samul.aalto,oll.martkaneng@hut.f Helsnk Unversty

More information

IEE Electronics Letters, vol 34, no 17, August 1998, pp ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES

IEE Electronics Letters, vol 34, no 17, August 1998, pp ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES IEE Electroncs Letters, vol 34, no 17, August 1998, pp. 1622-1624. ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES A. Chatzgeorgou, S. Nkolads 1 and I. Tsoukalas Computer Scence Department, 1 Department

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

Efficient Large Integers Arithmetic by Adopting Squaring and Complement Recoding Techniques

Efficient Large Integers Arithmetic by Adopting Squaring and Complement Recoding Techniques The th Worshop on Combnatoral Mathematcs and Computaton Theory Effcent Large Integers Arthmetc by Adoptng Squarng and Complement Recodng Technques Cha-Long Wu*, Der-Chyuan Lou, and Te-Jen Chang *Department

More information

Research Article Evaluation of Different Power Saving Techniques for MBMS Services

Research Article Evaluation of Different Power Saving Techniques for MBMS Services Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 9, Article ID 7597, 15 pages doi:1.1155/9/7597 Research Article Evaluation of Different Power Saving Techniques

More information

Throughput Maximization by Adaptive Threshold Adjustment for AMC Systems

Throughput Maximization by Adaptive Threshold Adjustment for AMC Systems APSIPA ASC 2011 X an Throughput Maxmzaton by Adaptve Threshold Adjustment for AMC Systems We-Shun Lao and Hsuan-Jung Su Graduate Insttute of Communcaton Engneerng Department of Electrcal Engneerng Natonal

More information

Research Article Modeling and Performance Analyses of Hybrid Cellular and Broadcasting Networks

Research Article Modeling and Performance Analyses of Hybrid Cellular and Broadcasting Networks Internatonal Journal of Dgtal Multmeda Broadcastng Volume 29, Artcle ID 32973, 9 pages do:.55/29/32973 Research Artcle Modelng and Performance Analyses of Hybrd Cellular and Broadcastng Networks Peter

More information

A study of turbo codes for multilevel modulations in Gaussian and mobile channels

A study of turbo codes for multilevel modulations in Gaussian and mobile channels A study of turbo codes for multlevel modulatons n Gaussan and moble channels Lamne Sylla and Paul Forter (sylla, forter)@gel.ulaval.ca Department of Electrcal and Computer Engneerng Laval Unversty, Ste-Foy,

More information

DYNAMIC SYSTEM LEVEL PERFORMANCE FOR MC-CDMA SCHEME J. Rodriguez, X.Yang, D. Mavrakis, R. Tafazolli* D.T. Phan Huy**

DYNAMIC SYSTEM LEVEL PERFORMANCE FOR MC-CDMA SCHEME J. Rodriguez, X.Yang, D. Mavrakis, R. Tafazolli* D.T. Phan Huy** DYNAMC SYSEM EVE PEFOMANCE FO MC-CDMA SCHEME J. odrguez, X.Yang, D. Mavraks,. afazoll* D.. Phan Huy** *Centre for Communcaton Systems esearch, Un. of Surrey, uldford, Surrey. UK e-mal: J..odrguez@surrey.ac.uk

More information

AN ADVANCED ALGORITHM FOR IMPROVING DVB-T COVERAGE IN SFN. V. Mignone, A. Morello, M. Visintin. RAI Research Centre, Italy ABSTRACT

AN ADVANCED ALGORITHM FOR IMPROVING DVB-T COVERAGE IN SFN. V. Mignone, A. Morello, M. Visintin. RAI Research Centre, Italy ABSTRACT AN ADVANCED ALGORITHM FOR IMPROVING DVB-T COVERAGE IN SFN V. Mgnone, A. Morello, M. Vsntn RAI Research Centre, Italy ABSTRACT The paper analyses the coverage achevable n sngle frequency networks (SFN)

More information

Combined Beamforming and Scheduling for High Speed Downlink Packet Access

Combined Beamforming and Scheduling for High Speed Downlink Packet Access Combned Beamformng and Schedulng for Hgh Speed Downlnk Packet Access Alexander Seeger Informaton and Communcaton Moble Semens A.G. Hofmannstr.5, 8359 Munch, Germany Alexander.Seeger@semens.com Marcn Skora

More information

Dynamic Optimization. Assignment 1. Sasanka Nagavalli January 29, 2013 Robotics Institute Carnegie Mellon University

Dynamic Optimization. Assignment 1. Sasanka Nagavalli January 29, 2013 Robotics Institute Carnegie Mellon University Dynamc Optmzaton Assgnment 1 Sasanka Nagavall snagaval@andrew.cmu.edu 16-745 January 29, 213 Robotcs Insttute Carnege Mellon Unversty Table of Contents 1. Problem and Approach... 1 2. Optmzaton wthout

More information

A NSGA-II algorithm to solve a bi-objective optimization of the redundancy allocation problem for series-parallel systems

A NSGA-II algorithm to solve a bi-objective optimization of the redundancy allocation problem for series-parallel systems 0 nd Internatonal Conference on Industral Technology and Management (ICITM 0) IPCSIT vol. 49 (0) (0) IACSIT Press, Sngapore DOI: 0.776/IPCSIT.0.V49.8 A NSGA-II algorthm to solve a b-obectve optmzaton of

More information

antenna antenna (4.139)

antenna antenna (4.139) .6.6 The Lmts of Usable Input Levels for LNAs The sgnal voltage level delvered to the nput of an LNA from the antenna may vary n a very wde nterval, from very weak sgnals comparable to the nose level,

More information

Clustering Based Fractional Frequency Reuse and Fair Resource Allocation in Multi-cell Networks

Clustering Based Fractional Frequency Reuse and Fair Resource Allocation in Multi-cell Networks Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the IEEE ICC 21 proceedngs Clusterng Based Fractonal Frequency Reuse and Far Resource

More information

Distributed Uplink Scheduling in EV-DO Rev. A Networks

Distributed Uplink Scheduling in EV-DO Rev. A Networks Dstrbuted Uplnk Schedulng n EV-DO ev. A Networks Ashwn Srdharan (Sprnt Nextel) amesh Subbaraman, och Guérn (ESE, Unversty of Pennsylvana) Overvew of Problem Most modern wreless systems Delver hgh performance

More information

Energy Efficiency Analysis of a Multichannel Wireless Access Protocol

Energy Efficiency Analysis of a Multichannel Wireless Access Protocol Energy Effcency Analyss of a Multchannel Wreless Access Protocol A. Chockalngam y, Wepng u, Mchele Zorz, and Laurence B. Mlsten Department of Electrcal and Computer Engneerng, Unversty of Calforna, San

More information

Context-aware Cluster Based Device-to-Device Communication to Serve Machine Type Communications

Context-aware Cluster Based Device-to-Device Communication to Serve Machine Type Communications Context-aware Cluster Based Devce-to-Devce Communcaton to Serve Machne Type Communcatons J Langha, Lu Man, Hans D. Schotten Char of Wreless Communcaton, Unversty of Kaserslautern, Germany {j,manlu,schotten}@et.un-kl.de

More information

Study of Downlink Radio Resource Allocation Scheme with Interference Coordination in LTE A Network

Study of Downlink Radio Resource Allocation Scheme with Interference Coordination in LTE A Network Internatonal Journal of Future Computer and Communcaton, Vol. 6, o. 3, September 2017 Study of Downln Rado Resource Allocaton Scheme wth Interference Coordnaton n LTE A etwor Yen-Wen Chen and Chen-Ju Chen

More information

PERFORMANCE OF THE LOCAL AVERAGING HANDOVER TECHNIQUE IN LONG TERM EVOLUTION NETWORKS

PERFORMANCE OF THE LOCAL AVERAGING HANDOVER TECHNIQUE IN LONG TERM EVOLUTION NETWORKS Vol.6 (4) December 5 PERFORANCE OF THE LOCAL AVERAGING HANDOVER TECHNIQUE IN LONG TER EVOLUTION NETWORKS I.O. Elujde*, O.O. Olugbara**, P.A. Owolaw*** and T. Nepal**** Dept. of Informaton Technology, Durban

More information

36th Telecommunications Policy Research Conference, Sept Quantifying the Costs of a Nationwide Broadband Public Safety Wireless Network

36th Telecommunications Policy Research Conference, Sept Quantifying the Costs of a Nationwide Broadband Public Safety Wireless Network 36th Telecommuncatons Polcy Research Conference, Sept. 2008 Quantfyng the Costs of a Natonwde Broadband Publc Safety Wreless Network Ryan Hallahan and Jon M. Peha Carnege Mellon Unversty Abstract The problems

More information

Procedia Computer Science

Procedia Computer Science Proceda Computer Scence 3 (211) 714 72 Proceda Computer Scence (21) Proceda Computer Scence www.elsever.com/locate/proceda www.elsever.com/locate/proceda WCIT-21 Performance evaluaton of data delvery approaches

More information

Performance Analysis of Multi User MIMO System with Block-Diagonalization Precoding Scheme

Performance Analysis of Multi User MIMO System with Block-Diagonalization Precoding Scheme Performance Analyss of Mult User MIMO System wth Block-Dagonalzaton Precodng Scheme Yoon Hyun m and Jn Young m, wanwoon Unversty, Department of Electroncs Convergence Engneerng, Wolgye-Dong, Nowon-Gu,

More information

Ad hoc Service Grid A Self-Organizing Infrastructure for Mobile Commerce

Ad hoc Service Grid A Self-Organizing Infrastructure for Mobile Commerce Ad hoc Servce Grd A Self-Organzng Infrastructure for Moble Commerce Klaus Herrmann, Kurt Gehs, Gero Mühl Berln Unversty of Technology Emal: klaus.herrmann@acm.org Web: http://www.vs.tu-berln.de/herrmann/

More information

PRACTICAL, COMPUTATION EFFICIENT HIGH-ORDER NEURAL NETWORK FOR ROTATION AND SHIFT INVARIANT PATTERN RECOGNITION. Evgeny Artyomov and Orly Yadid-Pecht

PRACTICAL, COMPUTATION EFFICIENT HIGH-ORDER NEURAL NETWORK FOR ROTATION AND SHIFT INVARIANT PATTERN RECOGNITION. Evgeny Artyomov and Orly Yadid-Pecht 68 Internatonal Journal "Informaton Theores & Applcatons" Vol.11 PRACTICAL, COMPUTATION EFFICIENT HIGH-ORDER NEURAL NETWORK FOR ROTATION AND SHIFT INVARIANT PATTERN RECOGNITION Evgeny Artyomov and Orly

More information

Approximating Blocking Rates in UMTS Radio Networks

Approximating Blocking Rates in UMTS Radio Networks Approxmatng s n UMTS Rado Networks Dplomarbet vorgelegt von Franzska Ryll Matrkel-Nr.: 19 88 98 be Prof. Dr. Martn Grötschel Technsche Unverstät Berln Fakultät II: Mathematk und Naturwssenschaften Insttut

More information

Application of Intelligent Voltage Control System to Korean Power Systems

Application of Intelligent Voltage Control System to Korean Power Systems Applcaton of Intellgent Voltage Control System to Korean Power Systems WonKun Yu a,1 and HeungJae Lee b, *,2 a Department of Power System, Seol Unversty, South Korea. b Department of Power System, Kwangwoon

More information

The Impact of Spectrum Sensing Frequency and Packet- Loading Scheme on Multimedia Transmission over Cognitive Radio Networks

The Impact of Spectrum Sensing Frequency and Packet- Loading Scheme on Multimedia Transmission over Cognitive Radio Networks Ths artcle has been accepted for publcaton n a future ssue of ths journal, but has not been fully edted. Content may change pror to fnal publcaton. The Impact of Spectrum Sensng Frequency and Pacet- Loadng

More information

STUDY ON LINK-LEVEL SIMULATION IN MULTI- CELL LTE DOWNLINK SYSTEM

STUDY ON LINK-LEVEL SIMULATION IN MULTI- CELL LTE DOWNLINK SYSTEM Proceedngs of IEEE IC-BMT0 TUDY O LIK-LEVEL IMULATIO I MULTI- CELL LTE DOWLIK YTEM Yang Zhang, Ruoyu Jn, Xn Zhang, Dacheng Yang Beng Unversty of Posts and Telecommuncatons, Beng 00876, Chna 05330@bupt.edu.cn

More information

Distributed Channel Allocation Algorithm with Power Control

Distributed Channel Allocation Algorithm with Power Control Dstrbuted Channel Allocaton Algorthm wth Power Control Shaoj N Helsnk Unversty of Technology, Insttute of Rado Communcatons, Communcatons Laboratory, Otakaar 5, 0150 Espoo, Fnland. E-mal: n@tltu.hut.f

More information

Parameter Free Iterative Decoding Metrics for Non-Coherent Orthogonal Modulation

Parameter Free Iterative Decoding Metrics for Non-Coherent Orthogonal Modulation 1 Parameter Free Iteratve Decodng Metrcs for Non-Coherent Orthogonal Modulaton Albert Gullén Fàbregas and Alex Grant Abstract We study decoder metrcs suted for teratve decodng of non-coherently detected

More information

To: Professor Avitabile Date: February 4, 2003 From: Mechanical Student Subject: Experiment #1 Numerical Methods Using Excel

To: Professor Avitabile Date: February 4, 2003 From: Mechanical Student Subject: Experiment #1 Numerical Methods Using Excel To: Professor Avtable Date: February 4, 3 From: Mechancal Student Subject:.3 Experment # Numercal Methods Usng Excel Introducton Mcrosoft Excel s a spreadsheet program that can be used for data analyss,

More information

Queuing-Based Dynamic Channel Selection for Heterogeneous Multimedia Applications over Cognitive Radio Networks

Queuing-Based Dynamic Channel Selection for Heterogeneous Multimedia Applications over Cognitive Radio Networks 1 Queung-Based Dynamc Channel Selecton for Heterogeneous ultmeda Applcatons over Cogntve Rado Networks Hsen-Po Shang and haela van der Schaar Department of Electrcal Engneerng (EE), Unversty of Calforna

More information

Digital Transmission

Digital Transmission Dgtal Transmsson Most modern communcaton systems are dgtal, meanng that the transmtted normaton sgnal carres bts and symbols rather than an analog sgnal. The eect o C/N rato ncrease or decrease on dgtal

More information

Efficient Power Allocation in E-MBMS Enabled 4G Networks

Efficient Power Allocation in E-MBMS Enabled 4G Networks Efficient Power Allocation in E-MBMS Enabled 4G Networks Antonios Alexiou, Christos Bouras, Vasileios Kokkinos Computer Engineering and Informatics Dept., University of Patras, Greece; and Research Academic

More information

ETSI TR V7.0.0 ( ) Technical Report

ETSI TR V7.0.0 ( ) Technical Report TR 125 963 V7.0.0 (2009-04) Techncal Report Unversal Moble Telecommuncatons System (UMTS); Feasblty study on nterference cancellaton for UTRA FDD User Equpment (UE) (3GPP TR 25.963 verson 7.0.0 Release

More information

ETSI TS V8.4.0 ( )

ETSI TS V8.4.0 ( ) TS 100 959 V8.4.0 (2001-11) Techncal Specfcaton Dgtal cellular telecommuncatons system (Phase 2+); Modulaton (3GPP TS 05.04 verson 8.4.0 Release 1999) GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS R 1 TS 100

More information

Estimation of spectrum requirements for mobile networks with self-similar traffic, handover, and frequency reuse

Estimation of spectrum requirements for mobile networks with self-similar traffic, handover, and frequency reuse Moble Informaton Systems 6 (2010) 281 291 281 DOI 10.3233/MIS-2010-0104 IOS Press Estmaton of spectrum requrements for moble networks wth self-smlar traffc, handover, and frequency reuse Won Seok Yang

More information

SC-FDMA and OFDMA: An Efficient Wireless Image Transmission Schemes

SC-FDMA and OFDMA: An Efficient Wireless Image Transmission Schemes Journal of Control and Systems Engneerng 016, Vol. 4 Iss. 1, PP. 74-83 Frst onlne: 8 July 016 SC-FDMA and OFDMA: An Effcent Wreless Image Transmsson Schemes Fasal S. Al-Kamal 1, Abdullah A. Qasem, Samah

More information

Guidelines for CCPR and RMO Bilateral Key Comparisons CCPR Working Group on Key Comparison CCPR-G5 October 10 th, 2014

Guidelines for CCPR and RMO Bilateral Key Comparisons CCPR Working Group on Key Comparison CCPR-G5 October 10 th, 2014 Gudelnes for CCPR and RMO Blateral Key Comparsons CCPR Workng Group on Key Comparson CCPR-G5 October 10 th, 2014 These gudelnes are prepared by CCPR WG-KC and RMO P&R representatves, and approved by CCPR,

More information

MINIMUM OVERHEAD BURST SYNCHRONIZATION FOR OFDM BASED BROADBAND TRANSMISSION. Michael Speth, Dirk Daecke, Heinrich Meyr

MINIMUM OVERHEAD BURST SYNCHRONIZATION FOR OFDM BASED BROADBAND TRANSMISSION. Michael Speth, Dirk Daecke, Heinrich Meyr MINIMUM OVERHEAD BURST SYNCHRONIZATION FOR OFDM BASED BROADBAND TRANSMISSION Mchael Speth, Drk Daecke, Henrch Meyr Integrated Systems for Sgnal Processng (ISS) Aachen Unversty of Technology (RWTH) D-52056

More information

An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks

An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks An Energy Effcent Herarchcal Clusterng Algorthm for Wreless Sensor Networks Seema Bandyopadhyay and Edward J. Coyle School of Electrcal and Computer Engneerng Purdue Unversty West Lafayette, IN, USA {seema,

More information

A Benchmark for D2D in Cellular Networks: The Importance of Information

A Benchmark for D2D in Cellular Networks: The Importance of Information A Benchmark for D2D n Cellular Networks: The Importance of Informaton Yğt Özcan, Catherne Rosenberg Unversty of Waterloo {yozcan,cath}@uwaterloo.ca Fabrce Gullemn Orange Labs, France fabrce.gullemn@orange.com

More information

AN ALGORITHM TO COMBINE LINK ADAPTATION AND TRANSMIT POWER CONTROL IN HIPERLAN TYPE 2

AN ALGORITHM TO COMBINE LINK ADAPTATION AND TRANSMIT POWER CONTROL IN HIPERLAN TYPE 2 AN ALGORITHM TO COMBINE LINK ADAPTATION AND TRANSMIT POWER CONTROL IN HIPERLAN TYPE 2 Markus Radmrsch Inst. f. Allgem. Nachrchtentechnk, Unv. Hannover, Appelstr. 9a, 3167 Hannover, Germany Tel.: +49-511-762

More information

Space Time Equalization-space time codes System Model for STCM

Space Time Equalization-space time codes System Model for STCM Space Tme Eualzaton-space tme codes System Model for STCM The system under consderaton conssts of ST encoder, fadng channel model wth AWGN, two transmt antennas, one receve antenna, Vterb eualzer wth deal

More information

Ad hoc Service Grid A Self-Organizing Infrastructure for Mobile Commerce

Ad hoc Service Grid A Self-Organizing Infrastructure for Mobile Commerce Ad hoc Servce Grd A Self-Organzng Infrastructure for Moble Commerce Klaus Herrmann Berln Unversty of Technology Emal: klaus.herrmann@acm.org Web: http://www.vs.tu-berln.de/herrmann/ PTB-Semnar, 3./4. November

More information

3GPP TR V7.0.0 ( )

3GPP TR V7.0.0 ( ) TR 25.963 V7.0.0 (2007-04) Techncal Report 3rd Generaton Partnershp Project; Techncal Specfcaton Group Rado Access etwork; Feasblty study on nterference cancellaton for UTRA FDD User Equpment (UE) (Release

More information

Efficient Power Allocation in E-MBMS Enabled 4G Networks

Efficient Power Allocation in E-MBMS Enabled 4G Networks Efficient Power Allocation in E-MBMS Enabled 4G Networks Antonios Alexiou 1, Christos Bouras 1, 2, Vasileios Kokkinos 1, 2 1 Computer Engineering and Informatics Dept., University of Patras 2 Research

More information

Providing Strict Quality of Service in HSDPA for real time services

Providing Strict Quality of Service in HSDPA for real time services Provdng Strct Qualty of Servce n HSDPA for real tme servces Joseph S. Gomes, Mra Yun, Hyeong-Ah Cho, Jae-Hoon Km 2, JungKyo Sohn 3, Hyeong-In Cho 3 Department of Computer Scence, George Washngton Unversty,

More information

Channel Alternation and Rotation in Narrow Beam Trisector Cellular Systems

Channel Alternation and Rotation in Narrow Beam Trisector Cellular Systems Channel Alternaton and Rotaton n Narrow Beam Trsector Cellular Systems Vncent A. Nguyen, Peng-Jun Wan, Ophr Freder Illnos Insttute of Technology-Communcaton Laboratory Research Computer Scence Department-Chcago,

More information

A New Type of Weighted DV-Hop Algorithm Based on Correction Factor in WSNs

A New Type of Weighted DV-Hop Algorithm Based on Correction Factor in WSNs Journal of Communcatons Vol. 9, No. 9, September 2014 A New Type of Weghted DV-Hop Algorthm Based on Correcton Factor n WSNs Yng Wang, Zhy Fang, and Ln Chen Department of Computer scence and technology,

More information

An Improved Profile-Based Location Caching with Fixed Local Anchor Based on Group Deregistration for Wireless Networks

An Improved Profile-Based Location Caching with Fixed Local Anchor Based on Group Deregistration for Wireless Networks An Improved Prole-Based Locaton Cachng wth Fxed Local Anchor Based on Group Deregstraton or Wreless Networks Md. Kowsar Hossan, Mousume Bhowmck, Tumpa Ran Roy 3 Department o Computer Scence and Engneerng,

More information

Adaptive Modulation for Multiple Antenna Channels

Adaptive Modulation for Multiple Antenna Channels Adaptve Modulaton for Multple Antenna Channels June Chul Roh and Bhaskar D. Rao Department of Electrcal and Computer Engneerng Unversty of Calforna, San Dego La Jolla, CA 993-7 E-mal: jroh@ece.ucsd.edu,

More information

Assessment of LTE Uplink Power Control with Different Frequency Reuses Schemes

Assessment of LTE Uplink Power Control with Different Frequency Reuses Schemes ICDT 22 : The Seventh Internatonal Conference on Dgtal Telecommuncatons Assessment of LTE Uplnk Power Control wth Dfferent Frequency Reuses Schemes Mohamed M. El-Ghawaby Electroncs and Communcatons AAST

More information

The Spectrum Sharing in Cognitive Radio Networks Based on Competitive Price Game

The Spectrum Sharing in Cognitive Radio Networks Based on Competitive Price Game 8 Y. B. LI, R. YAG, Y. LI, F. YE, THE SPECTRUM SHARIG I COGITIVE RADIO ETWORKS BASED O COMPETITIVE The Spectrum Sharng n Cogntve Rado etworks Based on Compettve Prce Game Y-bng LI, Ru YAG., Yun LI, Fang

More information

VRT014 User s guide V0.8. Address: Saltoniškių g. 10c, Vilnius LT-08105, Phone: (370-5) , Fax: (370-5) ,

VRT014 User s guide V0.8. Address: Saltoniškių g. 10c, Vilnius LT-08105, Phone: (370-5) , Fax: (370-5) , VRT014 User s gude V0.8 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual

More information

Exponential Effective SIR Metric for LTE Downlink

Exponential Effective SIR Metric for LTE Downlink Exponental Effectve SIR Metrc for LTE Downlnk Joan Olmos, Albert Serra, Slva Ruz, Maro García-Lozano, Davd Gonzalez Sgnal Theory and Communcatons Department Unverstat Poltècnca de Catalunya (UPC) Barcelona,

More information

Joint Power Control and Scheduling for Two-Cell Energy Efficient Broadcasting with Network Coding

Joint Power Control and Scheduling for Two-Cell Energy Efficient Broadcasting with Network Coding Communcatons and Network, 2013, 5, 312-318 http://dx.do.org/10.4236/cn.2013.53b2058 Publshed Onlne September 2013 (http://www.scrp.org/journal/cn) Jont Power Control and Schedulng for Two-Cell Energy Effcent

More information

Planning of Relay Station Locations in IEEE (WiMAX) Networks

Planning of Relay Station Locations in IEEE (WiMAX) Networks Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the WCNC 010 proceedngs. Plannng of Relay Staton Locatons n IEEE 0.16 (WMAX) Networks

More information

RECOMMENDATION ITU-R P Multipath propagation and parameterization of its characteristics

RECOMMENDATION ITU-R P Multipath propagation and parameterization of its characteristics Rec. ITU-R P.47-3 RECOMMEDATIO ITU-R P.47-3 Multpath propagaton and parameterzaton of ts characterstcs (Queston ITU-R 3/3) (999-3-5-7) Scope Recommendaton ITU-R P.47 descrbes the nature of multpath propagaton

More information

On Timing Offset and Frequency Offset Estimation in LTE Uplink *

On Timing Offset and Frequency Offset Estimation in LTE Uplink * On mng Offset and Frequency Offset Estmaton n LE Uplnk * Juan Lu, Bn Wu, and Pngan L School of Informaton Engneerng, Wuhan Unversty of echnology, No.22 Luosh Road, Hongshan Dstrct,Wuhan, Hube, Chna, 430070

More information

Figure.1. Basic model of an impedance source converter JCHPS Special Issue 12: August Page 13

Figure.1. Basic model of an impedance source converter JCHPS Special Issue 12: August Page 13 A Hgh Gan DC - DC Converter wth Soft Swtchng and Power actor Correcton for Renewable Energy Applcaton T. Selvakumaran* and. Svachdambaranathan Department of EEE, Sathyabama Unversty, Chenna, Inda. *Correspondng

More information

Research on Controller of Micro-hydro Power System Nan XIE 1,a, Dezhi QI 2,b,Weimin CHEN 2,c, Wei WANG 2,d

Research on Controller of Micro-hydro Power System Nan XIE 1,a, Dezhi QI 2,b,Weimin CHEN 2,c, Wei WANG 2,d Advanced Materals Research Submtted: 2014-05-13 ISSN: 1662-8985, Vols. 986-987, pp 1121-1124 Accepted: 2014-05-19 do:10.4028/www.scentfc.net/amr.986-987.1121 Onlne: 2014-07-18 2014 Trans Tech Publcatons,

More information

location-awareness of mobile wireless systems in indoor areas, which require accurate

location-awareness of mobile wireless systems in indoor areas, which require accurate To my wfe Abstract Recently, there are great nterests n the locaton-based applcatons and the locaton-awareness of moble wreless systems n ndoor areas, whch requre accurate locaton estmaton n ndoor envronments.

More information

ROYAL INSTITUTE OF TECHNOLOGY KUNGL TEKNISKA HÖGSKOLAN. Department of Signals, Sensors & Systems Signal Processing S STOCKHOLM

ROYAL INSTITUTE OF TECHNOLOGY KUNGL TEKNISKA HÖGSKOLAN. Department of Signals, Sensors & Systems Signal Processing S STOCKHOLM A Comparson of Two Systems for Down Lnk Communcaton wth Antenna Arrays at the Base Per Zetterberg 95{1{1 In: IEEE Wreless Communcaton Systems Symposum, 1995 IR{S3{SB{9522 ROYAL INSTITUTE OF TECHNOLOGY

More information

NOVEL ITERATIVE TECHNIQUES FOR RADAR TARGET DISCRIMINATION

NOVEL ITERATIVE TECHNIQUES FOR RADAR TARGET DISCRIMINATION NOVEL ITERATIVE TECHNIQUES FOR RADAR TARGET DISCRIMINATION Phaneendra R.Venkata, Nathan A. Goodman Department of Electrcal and Computer Engneerng, Unversty of Arzona, 30 E. Speedway Blvd, Tucson, Arzona

More information

Dimming Cellular Networks

Dimming Cellular Networks Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the IEEE Globecom 21 proceedngs. Dmmng Cellular Networks Davd Tpper, Abdelmounaam

More information

Research of Dispatching Method in Elevator Group Control System Based on Fuzzy Neural Network. Yufeng Dai a, Yun Du b

Research of Dispatching Method in Elevator Group Control System Based on Fuzzy Neural Network. Yufeng Dai a, Yun Du b 2nd Internatonal Conference on Computer Engneerng, Informaton Scence & Applcaton Technology (ICCIA 207) Research of Dspatchng Method n Elevator Group Control System Based on Fuzzy Neural Network Yufeng

More information

SINR-based Transport Channel Selection for MBMS Applications

SINR-based Transport Channel Selection for MBMS Applications SINR-based Transport Channel Selection for MBMS Applications Alessandro Raschellà #1, Anna Umbert *2, useppe Araniti #1, Antonio Iera #1, Antonella Molinaro #1 # ARTS Laboratory - Dept. DIMET - University

More information

Bit Error Probability of Cooperative Diversity for M-ary QAM OFDM-based system with Best Relay Selection

Bit Error Probability of Cooperative Diversity for M-ary QAM OFDM-based system with Best Relay Selection 011 Internatonal Conerence on Inormaton and Electroncs Engneerng IPCSIT vol.6 (011) (011) IACSIT Press, Sngapore Bt Error Proalty o Cooperatve Dversty or M-ary QAM OFDM-ased system wth Best Relay Selecton

More information

A Novel Power Counting Mechanism for Enhanced MBMS Performance in UMTS Networks

A Novel Power Counting Mechanism for Enhanced MBMS Performance in UMTS Networks A Novel Power Counting Mechanism for Enhanced MBMS Performance in UMTS Networks Antonios Alexiou 1, 2, Christos Bouras and Evangelos Rekk as 1, 2 1, 2 1 Computer Engineering and Informatics Dept., Univ.

More information