Analysis of the Gated IPACT Scheme for EPONs
|
|
- Brian Cain
- 6 years ago
- Views:
Transcription
1 Analyss of the Gated IPACT Scheme for EPONs Swapnl Bhata, Dmtr Garbuzov and Radm Bartoš Department of Computer Scence Unv. of New Hampshre Emal: {sbhata, dmtrg, Abstract Interleaved Pollng wth Adaptve Cycle Tme (IPACT s one of the earlest proposed pollng schemes for dynamc bandwdth allocaton n Ethernet Passve Optcal Networks (EPONs and has been extensvely used as a benchmark by many subsequent allocaton schemes. In ths paper, we attempt to construct a mathematcal model of the IPACT scheme under the gated servce dscplne. For N =1ONU, we derve closed-form expresson for the steady state grant sze. For N>1 ONUs, we need to consder separately a small and a large load-dstance rato. For the former case, the N =1ONU model holds even for N>1. For the latter case, we fnd a closed form expresson for the grant sze. Our model shows a reasonable match wth the values obtaned from smulaton for the steady state queue sze and hence the throughput and delay. I. INTRODUCTION An Ethernet Passve Optcal Network (EPON s a pontto-multpont, bdrectonal, hgh rate optcal network for data communcaton. The EPON lnk s shared by multple users. Each user connects to the EPON lnk through a devce known as an Optcal Network Unt (ONU. Snce the lnk s shared, lnk use must be centrally arbtrated. Ths functon s performed by a sngle specal devce called the Optcal Lne Termnator (OLT. The drecton of communcaton from the ONUs to the OLT s known as upstream drecton whereas the drecton from the OLT to the ONUs s known as the downstream drecton. The data rate n each drecton s set to 1 Gbps by the IEEE EPON standard [1]. Overall, the lnk exhbts a tree topology wth the OLT at the root of the tree and the ONUs at the leaves. The EPON lnk s shared by all users n the upstream drecton. The OLT decdes whch ONU s allowed to transmt data and for how many bytes. The OLT uses a specal control message called a Gate to grant transmsson opportuntes to ONUs. Appended to the data traffc, the ONU also transmts a control message contanng a Report of the number of bytes buffered n ts queue, watng for a subsequent transmsson opportunty. An algorthm mplemented n the OLT, whch uses these reports and gate messages to construct a transmsson schedule s known as a dynamc bandwdth allocaton (DBA algorthm. II. THE IPACT PROTOCOL Interleaved Pollng Scheme wth Adaptve Cycle Tme (IPACT s a DBA scheme for EPON proposed by Kramer et al. [2][3]. IPACT s one of the earlest dynamc bandwdth allocaton schemes for EPONs and has been extensvely used as a benchmark by many subsequent allocaton schemes [4][5][6][7][8][9][1]. To our knowledge, ths s the frst OLT ONU-1 ONU-2 d 1 d 2 t 1 g 1 q 1 Delayed Grant g 2 t 2 t 1 +1 q 2 g 1 +1 q 1 +1 g 2 +1 q 2 +1 t 2 +1 g 1 +2 Fg. 1. An example wth two ONUs llustratng notaton used for the recursve model. attempt to provde an analytcal model for the IPACT scheme. The evaluaton n [11] s based on smulatons and focuses on servce dscplnes. IPACT s an algorthm for nterleaved pollng of ONUs desgned to mnmze the walk tmes. For example, f the OLT sends a grant message to an ONU and then wats for the ONU to send data before sendng a grant message to the next ONU, then, the watng wll result n wastage of a sgnfcant amount of data bandwdth thus decreasng lnk utlzaton. IPACT suggests nterleavng the pollng messages to consecutve ONUs n order of decreasng dstance from the OLT such that transmssons arrve at the OLT as tghtly packed as possble. As llustrated n Fg. 1 the OLT has suffcent nformaton to schedule the transmssons for ONU-2 before the data from ONU-1 arrves at the OLT. Ths s because the OLT knows the dstance to each ONU and also knows the sze of the grant t allocated to each ONU. Hence the OLT can calculate the tme of the arrval of the last bt from each ONU and can therefore schedule the transmsson from the next ONU rght after the one from the prevous ONU has termnated. From Fg. 1 for example, at tme t 1, the OLT knows the tme at whch the transmsson from ONU-1 wll end and can therefore send the Gate message to ONU-2 to schedule ts transmsson to arrve at the OLT at tme t 2. In ths way, the nterleavng helps mnmze lnk underutlzaton durng walk tmes. However, ths s not always possble dependng on the dstance of the ONU from the OLT. To address ths ssue, the orgnal IPACT scheme also ncludes other optmzatons as well as procedures for detectng arrvng and departng ONUs. However, we do not nclude these portons n our analyss. We focus on the core IPACT bandwdth allocaton algorthm whch s a smple clent-server protocol wth qute general applcablty. Another parameter of the IPACT algorthm s the allocaton polcy of the server,.e., the OLT. When the OLT receves a report of the queue length from an ONU, t need not /6/$2. (c 26 IEEE Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the IEEE ICC 26 proceedngs.
2 grant a sngle transmsson slot n the current cycle for the buffered contents n ther entrety. Instead, the OLT may fx a partcular polcy such as grantng a tme slot: a of fxed length regardless of the reported queue length (statc allocaton, b equal to the reported buffer length but bounded by a maxmum (lmted allocaton, c larger than the reported queue length n antcpaton of future traffc (credt-based allocaton or d equal to the reported queue length (gated allocaton. Other varants are also possble. In ths paper, for smplcty, we focus on the the gated allocaton dscplne. In the followng sectons, we analyze ths scheme usng a recursve model. III. BACKGROUND AND RELATED WORK Pollng systems have been researched wdely for a number of years [12][13][14]. A general analyss of a pollng system seems to be a challengng problem and the results avalable are a product of complex analyses and therefore nvolve many smplfyng assumptons and approxmatons. The analyss s further complcated f one wshes to nclude a realstc traffc model. In ths paper, we attempt to derve a model of the IPACT scheme from ts basc defnton. Such a clean-slate analyss can provde clearer nsght nto the dynamcs of the scheme wth a mnmal set of assumptons and smplfcatons. Our man goal s to provde a clear and smple yet detaled model of the IPACT scheme derved from ts defnton. In the end, we hope to obtan smple closed-form expressons relatng the grant sze (and hence the delay and utlzaton to other parameters such as the load and round-trp tme. We beleve that our work can provde useful gudelnes n the desgn of new bandwdth allocaton schemes currently an area of ntense research [4][5][6][7][8][9][1]. Recently, Park et al. [15] obtaned new results about the performance of the IPACT scheme under the gated allocaton polcy. Ther approach s novel and comprehensve and provdes strong results. However, ther assumptons and results are dfferent and ther method, more sophstcated and complex. IV. A RECURSIVE MODEL FOR IPACT An accurate model for the IPACT scheme must account for the recursve relatonshp between the transmsson tmes, queue lengths and the grant szes n successve schedulng cycles. In ths secton, we develop such a model. We wll use the notaton as defned n Table I and llustrated n Fg. 1. Our goal s to express queue lengths, grant szes and transmsson tmes n terms of parameters such as the nput traffc rate (λ, lnk rate (δ 1, number of ONUs (N, and the dstances of ndvdual ONUs (d j from the OLT. A. Calculaton of grant sze g j The sze of the grant ssued by the OLT to an ONU s based on the queue length of the ONU. The ONU nforms the OLT about the length of ts queue n a Report message. However, the ONU must be granted a transmsson slot to transmt the Report message as well. As per the IPACT protocol, the ONU always appends a Report message to each transmsson. Let r denote the length of a Report message specfed by the IEEE TABLE I DEFINITION OF NOTATION USED Notaton Defnton Unts (value t j Thetmeofarrvalofthe th transmsson by ONU-j at the OLT seconds q j The queue length at ONU-j after completon bts of the th data transmsson g j The sze of the grant allocated by OLT to ONU-j for ts th transmsson bts d j 1 RTT to ONU-j seconds 2 λ The average arrval bt-rate bts/second δ The tme to transmt one bt over the EPON seconds/bt (1 9 r The sze of the Report message bts (512 b The sze of the guard band seconds (2 1 6 m The sze of the Gate message bts (512 N Total number of ONUs n the EPON EPON standard [1]. The OLT receves nformaton about the current sze of the queue length of an ONU only at the end of a current transmsson by that ONU. The OLT can use ths nformaton only to decde the sze of the next transmsson slot to be granted to that ONU. Under the gated servce dscplne, the OLT always allocates exhaustve grants,.e., the transmsson slots are always large enough to transmt all the data n the ONU queue reported to the OLT. Then, for gated servce, the sze of a grant s equal to the queue sze reported n the prevous grant, wth an addtonal r bts allocated for the next Report message. Thus, g j = qj 1 + r, > 1. (1 What happens when an ONU s granted ts frst transmsson opportunty? The OLT has no nformaton about the queue sze of the ONU, snce the ONU has not transmtted any Report messages to the OLT at all. In ths case, we assume that the OLT grants the ONU a transmsson slot of a mnmum sze large enough to transmt a Report message. Thus, for any ONU, the sze of ts frst transmsson opportunty wll be g j 1 = r. (2 B. Calculaton of ntal queue length q j 1 Next, we calculate the ntal queue length at any ONU, as requred by (1. Recall that for any ONU-j, the frst transmsson comprses only a Report message and none of the buffered data as per (2. Traffc arrves at the rate of λ bts/second. Suppose an ONU-j s d j seconds away from the OLT. Suppose that the frst bt of the ONU s frst transmsson reaches the OLT at tme t j 1. Snce ONU-j s dj seconds away from the OLT, t must have transmtted the frst bt of ts frst transmsson at tme t j 1 dj. The amount of traffc accumulated at ONU-j durng ths nterval wll therefore be λ(t j 1 dj whch wll be the queue length reported n the frst Report message by ONU-j. Thus, q j 1 = λ (tj 1 dj. (3 Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the IEEE ICC 26 proceedngs.
3 The frst Gate message from the OLT to poll the frst ONU wll reach ONU-1 at tme d 1. Therefore, the frst Report message from ONU-1 wll reach the OLT at tme t 1 1 =2d 1 +δm. Thus, q 1 1 = λ(d 1 + δm. (4 For the frst cycle,.e., all transmssons t j 1, the length of each transmsson wll be equal to the length of the Report message. Thus, an ONU-j, j>1, wll have to wat at least δr after t j 1 1 before transmttng ts own Report message. On the other hand, an ONU-j cannot transmt ts Report message untl t has been polled by the OLT. Ths takes tme at least d j. Hence, for any ONU 1 <j N, the tme at whch ts Report message arrves at the OLT wll be t j 1 = max(tj δr + b, jδm +2d j. (5 C. Calculaton of queue length q j after >1th transmsson The queue length q j at the end of th transmsson by devce j s exactly equal to the new traffc arrved snce the last queue length measurement. To fnd ths queue length, we need to fnd out the tmes at whch queue lengths are measured and then usng the arrval rate λ obtan the queue length. From Fg. 1 we observe that q j 1 s the length of the queue at the tme the Report message s transmtted at the ONU. Snce any transmsson by the ONU takes tme d j to reach the OLT and snce the frst bt of the th transmsson reaches the OLT at tme t j, the frst bt must be transmtted at the ONU at tme t j dj. Further, snce the grant sze s g j, t must take δgj tme for the transmsson to complete. Thus, the tme at whch the ONU sends ts last bt must be t j dj + δg j. The queue length s measured δr tme before ths tme at the ONU. Thus, the tme at whch the queue length s measured after the th transmsson by devce j s t j dj + δg j δr. Thus, the queue length after the prevous.e., 1 th transmsson would be measured at tme t j tj 1 = δgj 1 +2dj + δm + b (9 t j 1 dj + δg j 1 δr. Substtutng n (6 and smplfyng gves, Therefore, the amount of new traffc accumulated snce the q j last queue measurement upto the current queue measurement + δg j + δm + b, > 1,N =1. wll be Substtutng (1 and smplfyng gves, q j = λ [(t j dj + δg j δr (tj 1 dj + δg j 1 δr] g j = λ [(t +1 = λ (δgj +2dj + δm + b+r. (1 j tj 1 +δ (gj gj 1 ], > 1 (6 Solvng ths recurrence gves the steady state grant sze, D. Calculaton of transmsson tmes t j Next, we calculate the transmsson tmes for any ONU. If the EPON conssts of N =1ONU, then the transmsson g s = λ (2dj + δm + b+r. 1 λδ (11 tme t j depends only on the transmssons n the prevous grants. A new transmsson can only begn after the prevous one has fnshed and the new Gate message sent out by the OLT reaches the ONU. A message from the OLT takes d j tme to reach an ONU-j. The new transmsson from ONU-j wll n turn take tme d j to reach the OLT. Thus, consecutve transmssons from the ONU are separated by 2d j seconds. An ONU s prevous transmsson begnnng at tme t j 1 wll end at tme t j 1 + δgj 1. Thus, a new transmsson, n the sngle ONU case wll begn at t j = tj 1 + δgj 1 +2dj + δm + b, N =1 (7 If N > 1, then consderng ndces modulo N, the transmsson from ONU-j cannot begn unless the one from the prevous ONU-(j 1 has ended, unless, ONU-j s suffcently far away from the OLT. In ths latter case, the tme d j taken by the Gate message to reach ONU-j suffcently delays the transmsson from ONU-j as llustrated by transmsson t 2 2 of ONU-2 n Fg. 1. Suppose ONU-(j 1 transmts at tme t j 1. Its transmsson wll fnsh at t j 1.No other transmsson can begn before ths tme. Now suppose that ONU-j last transmtted n the prevous cycle at tme t j 1. Then, dj must be large enough so that ONU-j s next transmsson begnnng at t j s suffcently delayed past the tme of completon t j 1 of the prevous ONU. Thus, we arrve at the followng condton for the transmsson tme: ( t j = max t j 1 + δ(gj 1 + m+2dj,t j 1 + b (8 where devce ndex j s counted modulo N > 1. Ths completes the specfcaton of the recursve model. V. CLOSED-FORM SOLUTION OF THE RECURSIVE MODEL In the prevous secton, we expressed the queue length reported by the ONU n ts th transmsson n terms of other parameters and varables of our model. In ths secton, we attempt to derve closed form expressons for the throughput and response tme for an ONU. We dvde our dervaton nto separate cases for N = 1(Sec.V-A and N > 1 (Sec.V-B ONU(s. A. Sngle ONU Consder an EPON wth a sngle ONU. Thus, N =1n the recursve model developed n Sec. IV. From, (7 we have The response tme R 1 ONU for a sngle ONU when λδ < 1 wll be R 1 ONU = δm+2d j +δg s +b = 2dj + δ(m + r+b (12 1 λδ Fg. 5 shows the match between the steady state grant sze predcted by (11 and that obtaned by smulaton. We have also verfed that the response tme predcted by (12 matches smulatons but omt the graph due to space lmtatons. Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the IEEE ICC 26 proceedngs.
4 OLT g 2 g ONU-{1, 2} g 1 g Fg. 2. The low load-dstance rato 5 25 B. Multple ONUs at an dentcal dstance For N>1, we also assume that all N ONUs are located at an dentcal dstance d = d j. (13 We consder two cases based on the rato of the load to the RTT to any ONU. 1 Low -Dstance rato: Frst, consder the case where for N > 1 ONUs, the l.h.s. term of the two expressons compared n (8 s the maxmum,.e., t j 1 <t j 1 + δ(gj 1 + m+2d. (14 Then by (8 and (14: t j tj 1 = δ(gj 1 + m+2d + b, (15 and, t j > t j 1 > t j 2 + b, + δg j 2 +2b, and so on. Contnung, we can wrte: N t j > t j 1 + j 1 δg 1 k + δg k + Nb. (16 In other words, usng (14, (15 and (16, we can wrte: N j 1 δg 1+ k δg k +Nb t = δ(g j 1 +m+2d+b. (17 where t = t j tj 1 s the cycle tme. Ths corresponds to the example shown n Fg. 2 wth two ONUs. Clearly, f the grant sze to each ONU s smaller than the RTT to the ONU, then nether ONU wll ever have to wat for the other ONU. The dervaton would proceed after (15 exactly as for the sngle ONU case n the prevous secton, resultng n the same steady state grant sze as arrved at n (11,.e., g j λ (2d + δm + b+r = g s =. (18 1 λδ Snce the steady state grant sze g j s the same for all N ONUs, usng (17 and (18, we can wrte: N (δg j + b δ(g j + m+2d + b, or (19 (N 1 (δg j + b 2d + δm. (2 Substtutng Eqn. (18 shows that the steady state grant sze g j from (18 holds when: λ 1 Nδ ( 1 (N 1(δr + b, (21 2d + δm 1 2 No. ONUs RTT (mcro sec. Fg. 3. Steady state grant sze for non-negatve load ponts beneath the surface s gven by (18 and for those above s gven by (26..e., our assumpton (14 translates nto the above condton. In other words, the sngle-onu model apples to the mult-onu case for the load-dstance relatonshp descrbed by (21. The steady state grant sze of any non-negatve load pont beneath the surface shown n Fg. 3 wll be gven by (21. 2 Hgh -Dstance rato: Alternatvely, consder the r.h.s. term of the two expressons compared n (8 to be larger,.e., t j 1 + δ(gj 1 + m+2d<tj 1 Then by (8 and (22: N t j tj 1 = j 1 δg 1 k + and, by smlar reasonng as before, N δ(g j 1 +m+2d+b t =. (22 δg k + Nb, (23 j 1 δg 1+ k δg k +Nb. (24 If all ONUs are located at the same dstance, the cycle tme t s solely comprsed of transmsson grants of other ONUs,.e., those that transmtted after ONU-j n the prevous cycle ( 1 and those that wll transmt before ONU-j n the current cycle (. (See the example wth two ONUs n Fg. (4. Substtutng (23 nto (6 and smplfyng gves ( N q j = λδ j g 1 k + + λnb. (25 +1 Assume that a steady state exsts (see appendx for detals and that the steady state grant sze for each ONU s dentcal. Then, n steady state, g j r = λδng j + λnb or, g j = λnb + r 1 Nλδ. (26 Agan, from (24 we know that (26 holds when δ(g j + m+2d + b < N(δg j + b. (27 g k Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the IEEE ICC 26 proceedngs.
5 ONU-{1, 2} OLT g 1 g 1 +1 Fg. 4. g 2 g 2 +1 Hgh load-dstance rato. Substtutng (26 and smplfyng shows that (26 holds for the remanng loads λ> 1 ( (N 1(δr + b 1. (28 δn 2d + δm Ths completes the soluton of our recursve model for IPACT under the gated servce scheme. VI. SIMULATIONS AND A COMPARISON Smulatons were conducted n order to valdate the above model of the IPACT scheme under a gated servce polcy. The smulatons were conducted for N {1, 2, 4, 2} ONUs d {25, 5, 1} µs away from the OLT for loads λ N 1. Each run smulated 1 seconds of real tme. For smulatons wth self-smlar traffc, the duraton of the smulaton must be very large (of the order of hundreds to a few thousands of seconds. Dependng on the load to be generated and the number of ONUs, such smulatons can be computatonally ntensve n both tme and space. More rgorous smulatons of much longer duraton are currently n progress. Fg. 5 shows the results of the smulaton. The self-smlar traffc curve conssts of 3 ponts, one obtaned from each run for a specfc load. Ffteen load values were used. Traffc njected nto the ONUs was generated by an aggregated source wth a measured Hurst parameter of.8 [16]. The source generated bursts whose ON and OFF perod lengths followed the Pareto dstrbuton. The nteger lengths of the packets n each burst were drawn unformly at random from the nterval [64, 1518] bytes. Fg. 5 shows the match between the steady state queue sze predcted by our model and that measured from smulaton wth both Posson as well as self-smlar/lrd [16] traffc models. The match aganst the Posson model s better than that aganst the self-smlar model snce our model s based smply on the average load and hence cannot account for the nfnte varance exhbted by the bursty self-smlar traffc. Nonetheless, the model shows a reasonably and suffcently good match wth both models as far as verfyng the correctness of the model s concerned. VII. CONCLUSIONS AND FUTURE WORK In ths paper, we attempted to analyze the IPACT protocol for allocaton of EPON bandwdth usng a recursve formulaton. IPACT s one of the earlest and most wdely used benchmarks for bandwdth allocaton n EPONs. However, there was no analytcal model descrbng the IPACT scheme. In ths paper, we developed such a smple model. We derved closed-form expressons for the grant sze allocated by IPACT under the gated servce scheme as a functon of the nput load, ONU RTT and other protocol parameters. The man assumpton of our analyss s that the flud traffc arrvng n an nterval t s λt where λ s the average traffc arrval rate, s known and fxed. However, just as wth other approaches, ths s a drawback of our analyss as well. For a well-behaved traffc source such as Posson traffc, a small sample from a small nterval t wll converge to the actual mean λ wth hgh probablty. However, for self-smlar, heavy taled traffc, ths does not hold. Snce the tal decays only polynomally, a small sample can contan a large devaton from the mean. In such cases, the predctons of the average value from our analyss wll exhbt error. Thus, the assumpton that the queue reported at the end of a transmsson of sze t wll be λt wll ntroduce consderable error for a heavy taled traffc source. ACKNOWLEDGMENTS We thank Csco for supportng our work under the Csco Unversty Research Program. We thank Dr. G. Kramer for makng the self-smlar traffc generaton tool publcly avalable. We thank Dr. E. Vark for useful comments durng the ntal porton of ths project. APPENDIX Consder (25. We can wrte a smlar equaton for ONUj 1 (usng modulo N ndexng: ( N j 1 q j 1 = λδ g 1 k + g k + λnb. (29 Subtractng, (29 from (25 gves: q j = qj 1 + λδ(q j 1 qj 2, (3 whch can be rewrtten as: a n = a n 1 + λδ(a n N a n 2N. (31 Equaton (31 can be nterpreted as the recurrence descrbng the IPACT scheme under gated servce and hgh load-dstance rato (as defned by (28 snce t captures the essental behavor of the bandwdth allocaton process of the scheme. The characterstc equaton of (31 s p(x =x 2N x 2N 1 cx N + c =, (32 where c = λδ. By showng that all the roots of (32 wll be no greater than unty for c<n 1, we can argue that a steady state exsts n the hgh load-dstance rato regme as well. REFERENCES [1] IEEE Draft P82.3ah (tm, IEEE Standard, 24. [2] G. Kramer, B. Mukherjee, and G. Pesavento, Interleaved Pollng wth Adaptve Cycle tme (IPACT: A Dynamc Bandwdth Dstrbuton Scheme n an Optcal Access Network, Photonc Network Communcatons, vol. 4, no. 1, pp , Jan. 22. [3], IPACT: A Dynamc Protocol for an Ethernet PON (EPON, IEEE Communcatons, vol. 4, no. 2, pp. 74 8, February 22. [4] M. Ma, Y. Zhu, and T. H. Cheng, A Bandwdth Guaranteed Pollng MAC Protocol for Ethernet Passve Optcal Networks, n IEEE INFO- COM, 23. Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the IEEE ICC 26 proceedngs.
6 N=1, Dstance=5 m N=1, Dstance=1 m N=1, Dstance=2 m 1e+6 1e+6 1e N=2, Dstance=5 m N=2, Dstance=1 m N=2, Dstance=2 m N=4, Dstance=5 m N=4, Dstance=1 m N=4, Dstance=2 m N=2, Dstance=5 m N=2, Dstance=1 m N=2, Dstance=2 m Smulaton Fg. 5. Smulaton results wth Posson and self-smlar traffc for a few selected ponts from Fg. 3. [5] C. M. Ass, Y. Ye, S. Dxt, and M. A. Al, Dynamc Bandwdth Allocaton for Qualty-of-Servce Over Ethernet PONs, IEEE Journal on Selected Areas n Communcatons, vol. 21, no. 9, pp , Nov. 23. [6] H. J. Byun, J. M. Nho, and J. T. Lm, Dynamc Bandwdth Allocaton Algorthm n Ethernet Passve Optcal Networks, Electroncs Letters, vol. 39, no. 13, pp , June 23. [7] G. Kramer, B. Mukherjee, S. Dxt, Y. Ye, and R. Hrth, Supportng Dfferentated Classes of Servce n Ethernet Passve Optcal Networks, Journal of Optcal Networkng, vol. 1, no. 8,9, pp , Aug. 22. [8] C. H. Foh, L. Andrew, E. Wong, and M. Zukerman, FULL-RCMA: A Hgh Utlzaton EPON, IEEE Journal on Selected Areas n Communcatons, vol. 22, no. 8, pp , Oct. 24. [9] Y. Luo and N. Ansar, Lmted Sharng wth Traffc Predcton for Dynamc Bandwdth Allocaton and QoS Provsonng over Ethernet Passve Optcal Networks, Journal of Optcal Networkng, vol. 4, no. 9, pp , 25. [1] J. Xe, S. Jang, and Y. Jang, Dynamc Bandwdth Allocaton Scheme for Dfferentated Servces n EPON, IEEE Communcatons Magazne, vol. 42, no. 8, pp. s32 s39, Aug. 24. [11] G. Kramer, Ethernet Passve Optcal Networks. McGraw-Hll Professonal, March, 25. [12] H. Takag, Anlayss of Pollng Systems. MIT Press, [13] M. Sd, H. Levy, and S. Fuhrmann, A Queueng Network wth A Sngle Cyclcally Rovng Server, Queueng Systems, vol. 11, July [14] H. Cho and K. S. Trved, Approxmate Performance Models of Pollng Systems Usng Stochastc Petr Nets, n IEEE Infocom, Florence, Italy, May [15] C. G. Park, D. H. Han, and B. Km, Packet delay analyss of dynamc bandwdth allocaton scheme n an ethernet pon, n ICN 25, LNCS 342, P. Lorenz and P. Dn, Eds., Reunon Island, France, Apr. 25. [16] W. Leland, M. Taqqu, W. Wllnger, and D. Wlson, On the Self-Smlar Nature of Ethernet Traffc, IEEE/ACM Trans. Networkng, vol. 2, no. 1, pp. 1 15, Feb Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the IEEE ICC 26 proceedngs.
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 informationIEE 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 informationHUHG: High Utilization and Hybrid Granting algorithm for EPON
HUH: Hgh Utlzaton and Hybrd rantng algorthm for EPON Jun-Seog Km Hun-je Yeon Seog-yu Km and Jayong Lee Department of Electrcal and Electronc Engneerng Yonse Unversty Seoul Korea E-mal: {jsm8844 hjmrror
More informationMTBF 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 informationAdaptive 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 informationA Comparison of Two Equivalent Real Formulations for Complex-Valued Linear Systems Part 2: Results
AMERICAN JOURNAL OF UNDERGRADUATE RESEARCH VOL. 1 NO. () A Comparson of Two Equvalent Real Formulatons for Complex-Valued Lnear Systems Part : Results Abnta Munankarmy and Mchael A. Heroux Department of
More informationDigital 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 informationDynamic 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 informationComparative 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 informationRedes de Comunicação em Ambientes Industriais Aula 8
Redes de Comuncação em Ambentes Industras Aula 8 Luís Almeda lda@det.ua.pt Electronc Systems Lab-IEETA / DET Unversdade de Avero Avero, Portugal RCAI 2005/2006 1 In the prevous epsode... Cooperaton models:
More informationUncertainty 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 informationHigh 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 informationIntroduction to Coalescent Models. Biostatistics 666 Lecture 4
Introducton to Coalescent Models Bostatstcs 666 Lecture 4 Last Lecture Lnkage Equlbrum Expected state for dstant markers Lnkage Dsequlbrum Assocaton between neghborng alleles Expected to decrease wth dstance
More informationExact Probabilistic Analysis of the Limited Scheduling Algorithm for Symmetrical Bluetooth Piconets
Exact Probablstc Analyss of the Lmted Schedulng Algorthm for Symmetrcal Bluetooth Pconets Gl Zussman *, Ur Yechal 2, and Adran Segall Department of Electrcal Engneerng Technon Israel Insttute of Technology,
More informationA 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 informationIntroduction to Coalescent Models. Biostatistics 666
Introducton to Coalescent Models Bostatstcs 666 Prevously Allele frequences Hardy Wenberg Equlbrum Lnkage Equlbrum Expected state for dstant markers Lnkage Dsequlbrum Assocaton between neghborng alleles
More informationGuidelines 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 informationQueuing-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 informationThe 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 informationDelay Performance of Different MAC Schemes for Multihop Wireless Networks
Delay Performance of Dfferent MAC Schemes for Multhop Wreless Networks Mn Xe and Martn Haengg Department of Electrcal Engneerng Unversty of Notre Dame Notre Dame, IN 46556, USA Emal: {mxe,mhaengg}@nd.edu
More informationAnalysis and Enhancement of Bandwidth Request Strategies in IEEE Networks
Ths ull text paper was peer revewed at the drecton o EEE Communcatons Socety subject matter experts or publcaton n the EEE CC proceedngs nalyss and Enhancement o Bandwdth Request Strateges n EEE 8.6 etworks
More information>>> SOLUTIONS <<< 5 pts each sub-problem. 3 pts for correct formulas and set-up for each sub-problem.
Comprehensve Fnal Exam for Computer Networks (CNT 65) Fall >>> SOLUTIONS
More informationA 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 informationThe Synthesis of Dependable Communication Networks for Automotive Systems
06AE-258 The Synthess of Dependable Communcaton Networks for Automotve Systems Copyrght 2005 SAE Internatonal Nagarajan Kandasamy Drexel Unversty, Phladelpha, USA Fad Aloul Amercan Unversty of Sharjah,
More informationSpace 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 informationPassive Filters. References: Barbow (pp ), Hayes & Horowitz (pp 32-60), Rizzoni (Chap. 6)
Passve Flters eferences: Barbow (pp 6575), Hayes & Horowtz (pp 360), zzon (Chap. 6) Frequencyselectve or flter crcuts pass to the output only those nput sgnals that are n a desred range of frequences (called
More informationDefine Y = # of mobiles from M total mobiles that have an adequate link. Measure of average portion of mobiles allocated a link of adequate quality.
Wreless Communcatons Technologes 6::559 (Advanced Topcs n Communcatons) Lecture 5 (Aprl th ) and Lecture 6 (May st ) Instructor: Professor Narayan Mandayam Summarzed by: Steve Leung (leungs@ece.rutgers.edu)
More information1 GSW Multipath Channel Models
In the general case, the moble rado channel s pretty unpleasant: there are a lot of echoes dstortng the receved sgnal, and the mpulse response keeps changng. Fortunately, there are some smplfyng assumptons
More informationFall 2018 #11 Games and Nimbers. A. Game. 0.5 seconds, 64 megabytes
5-95 Fall 08 # Games and Nmbers A. Game 0.5 seconds, 64 megabytes There s a legend n the IT Cty college. A student that faled to answer all questons on the game theory exam s gven one more chance by hs
More informationHigh 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 informationDynamic Wavelength Routing in WDM Networks under Multiple Signal Quality Constraints
Dynamc Wavelength Routng n WDM Networks under Multple Sgnal Qualty Constrants Wey Zhang, Guolang Xue, Senor Member, IEEE, Jan Tang, Krshnayan Thulasraman, Fellow, IEEE Abstract Most research works n routng
More informationTECHNICAL NOTE TERMINATION FOR POINT- TO-POINT SYSTEMS TN TERMINATON FOR POINT-TO-POINT SYSTEMS. Zo = L C. ω - angular frequency = 2πf
TECHNICAL NOTE TERMINATION FOR POINT- TO-POINT SYSTEMS INTRODUCTION Because dgtal sgnal rates n computng systems are ncreasng at an astonshng rate, sgnal ntegrty ssues have become far more mportant to
More informationWalsh Function Based Synthesis Method of PWM Pattern for Full-Bridge Inverter
Walsh Functon Based Synthess Method of PWM Pattern for Full-Brdge Inverter Sej Kondo and Krt Choesa Nagaoka Unversty of Technology 63-, Kamtomoka-cho, Nagaoka 9-, JAPAN Fax: +8-58-7-95, Phone: +8-58-7-957
More informationA 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 informationDistributed 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 informationNATIONAL RADIO ASTRONOMY OBSERVATORY Green Bank, West Virginia SPECTRAL PROCESSOR MEMO NO. 25. MEMORANDUM February 13, 1985
NATONAL RADO ASTRONOMY OBSERVATORY Green Bank, West Vrgna SPECTRAL PROCESSOR MEMO NO. 25 MEMORANDUM February 13, 1985 To: Spectral Processor Group From: R. Fsher Subj: Some Experments wth an nteger FFT
More informationFigure.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 informationTest 2. ECON3161, Game Theory. Tuesday, November 6 th
Test 2 ECON36, Game Theory Tuesday, November 6 th Drectons: Answer each queston completely. If you cannot determne the answer, explanng how you would arrve at the answer may earn you some ponts.. (20 ponts)
More informationTo: 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 informationControl Chart. Control Chart - history. Process in control. Developed in 1920 s. By Dr. Walter A. Shewhart
Control Chart - hstory Control Chart Developed n 920 s By Dr. Walter A. Shewhart 2 Process n control A phenomenon s sad to be controlled when, through the use of past experence, we can predct, at least
More informationAchievable Rate Region of CSMA Schedulers in Wireless Networks with Primary Interference Constraints
Achevable Rate Regon of CSMA Schedulers n Wreless Networks wth Prmary Interference Constrants Peter Marbach, Atlla Erylmaz, and Asuman Ozdaglar Abstract We consder Carrer Sense Multple Access (CSMA) schedulers
More informationParameter 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 informationResearch Article Performance Evaluation of Uplink Delay-Tolerant Packet Service in IEEE Based Networks
Hndaw Publshng Corporaton EURASIP Journal on Wreless Communcatons and Networkng Volume 2011, Artcle ID 549492, 12 pages do:10.1155/2011/549492 Research Artcle Performance Evaluaton of Uplnk Delay-Tolerant
More informationApproximating 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 informationResearch 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 informationNETWORK 2001 Transportation Planning Under Multiple Objectives
NETWORK 200 Transportaton Plannng Under Multple Objectves Woodam Chung Graduate Research Assstant, Department of Forest Engneerng, Oregon State Unversty, Corvalls, OR9733, Tel: (54) 737-4952, Fax: (54)
More informationAN 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 informationRevision of Lecture Twenty-One
Revson of Lecture Twenty-One FFT / IFFT most wdely found operatons n communcaton systems Important to know what are gong on nsde a FFT / IFFT algorthm Wth the ad of FFT / IFFT, ths lecture looks nto OFDM
More informationPlanning 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 informationAnalysis of Adaptive Wormhole-Routed Torus Networks with IPP Input Traffic
Analyss of Adaptve Wormhole-Routed Torus Networks wth I Input Traffc Geyong Mn Department of Computer Scence Unversty of Strathclyde Glasgow, G XH, U.K. Emal: geyong@cs.strath.ac.uk John Ferguson Department
More informationPrevention of Sequential Message Loss in CAN Systems
Preventon of Sequental Message Loss n CAN Systems Shengbng Jang Electrcal & Controls Integraton Lab GM R&D Center, MC: 480-106-390 30500 Mound Road, Warren, MI 48090 shengbng.jang@gm.com Ratnesh Kumar
More informationDistributed 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 informationLow Complexity Duty Cycle Control with Joint Delay and Energy Efficiency for Beacon-enabled IEEE Wireless Sensor Networks
Low Complexty Duty Cycle Control wth Jont Delay and Energy Effcency for Beacon-enabled IEEE 8254 Wreless Sensor Networks Yun L Kok Keong Cha Yue Chen Jonathan Loo School of Electronc Engneerng and Computer
More informationTopology 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 informationFair Scheduling for Real-Time Multimedia Support in IEEE Wireless Access Networks
Far Schedulng for Real-Tme Multmeda Support n IEEE 802.16 Wreless Access Networs Yaser P. Fallah Inst. of Transportaton Studes (Depts EECS & CEE), Unversty of Calforna at Bereley, USA e-mal: yaserpf@eecs.bereley.edu
More informationThe Stability Region of the Two-User Broadcast Channel
The Stablty Regon of the Two-User Broadcast Channel Nkolaos appas *, Maros Kountours, * Department of Scence and Technology, Lnköpng Unversty, Campus Norrköpng, 60 74, Sweden Mathematcal and Algorthmc
More informationNOVEL 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 informationSelective Sensing and Transmission for Multi-Channel Cognitive Radio Networks
IEEE INFOCOM 2 Workshop On Cogntve & Cooperatve Networks Selectve Sensng and Transmsson for Mult-Channel Cogntve Rado Networks You Xu, Yunzhou L, Yfe Zhao, Hongxng Zou and Athanasos V. Vaslakos Insttute
More informationRational Secret Sharing without Broadcast
Ratonal Secret Sharng wthout Broadcast Amjed Shareef, Department of Computer Scence and Engneerng, Indan Insttute of Technology Madras, Chenna, Inda. Emal: amjedshareef@gmal.com Abstract We use the concept
More informationA Predictive QoS Control Strategy for Wireless Sensor Networks
The 1st Worshop on Resource Provsonng and Management n Sensor Networs (RPMSN '5) n conjuncton wth the 2nd IEEE MASS, Washngton, DC, Nov. 25 A Predctve QoS Control Strategy for Wreless Sensor Networs Byu
More informationEE 508 Lecture 6. Degrees of Freedom The Approximation Problem
EE 508 Lecture 6 Degrees of Freedom The Approxmaton Problem Revew from Last Tme Desgn Strategy Theorem: A crcut wth transfer functon T(s) can be obtaned from a crcut wth normalzed transfer functon T n
More informationAnalysis of Time Delays in Synchronous and. Asynchronous Control Loops. Bj rn Wittenmark, Ben Bastian, and Johan Nilsson
37th CDC, Tampa, December 1998 Analyss of Delays n Synchronous and Asynchronous Control Loops Bj rn Wttenmark, Ben Bastan, and Johan Nlsson emal: bjorn@control.lth.se, ben@control.lth.se, and johan@control.lth.se
More informationOptimal Sizing and Allocation of Residential Photovoltaic Panels in a Distribution Network for Ancillary Services Application
Optmal Szng and Allocaton of Resdental Photovoltac Panels n a Dstrbuton Networ for Ancllary Servces Applcaton Reza Ahmad Kordhel, Student Member, IEEE, S. Al Pourmousav, Student Member, IEEE, Jayarshnan
More informationReview: Our Approach 2. CSC310 Information Theory
CSC30 Informaton Theory Sam Rowes Lecture 3: Provng the Kraft-McMllan Inequaltes September 8, 6 Revew: Our Approach The study of both compresson and transmsson requres that we abstract data and messages
More informationTraffic balancing over licensed and unlicensed bands in heterogeneous networks
Correspondence letter Traffc balancng over lcensed and unlcensed bands n heterogeneous networks LI Zhen, CUI Qme, CUI Zhyan, ZHENG We Natonal Engneerng Laboratory for Moble Network Securty, Bejng Unversty
More informationThe 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 informationKeywords 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 informationOpportunistic Beamforming for Finite Horizon Multicast
Opportunstc Beamformng for Fnte Horzon Multcast Gek Hong Sm, Joerg Wdmer, and Balaj Rengarajan allyson.sm@mdea.org, joerg.wdmer@mdea.org, and balaj.rengarajan@gmal.com Insttute IMDEA Networks, Madrd, Span
More informationModeling Hierarchical Event Streams in System Level Performance Analysis
Modelng Herarchcal Event Streams n System Level Performance Analyss IK Report 9 obas Ren, Ka Lampka, Lothar hele Computer Engneerng and Networks Laboratory Swss Federal Instsute of echnology (EH) Zurch,
More informationPower Allocation in Wireless Relay Networks: A Geometric Programming-Based Approach
ower Allocaton n Wreless Relay Networks: A Geometrc rogrammng-based Approach Khoa T. han, Tho Le-Ngoc, Sergy A. Vorobyov, and Chntha Telambura Department of Electrcal and Computer Engneerng, Unversty of
More informationETSI 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 informationREAL-TIME SCHEDULING IN LTE FOR SMART GRIDS. Yuzhe Xu, Carlo Fischione
REAL-TIME SCHEDULING IN LTE FOR SMART GRIDS Yuzhe Xu, Carlo Fschone Automatc Control Lab KTH, Royal Insttue of Technology 1-44, Stockholm, Sweden Emal: yuzhe@kth.se, carlof@kth.se ABSTRACT The latest wreless
More informationPerformance Evaluation of QoS Parameters in Dynamic Spectrum Sharing for Heterogeneous Wireless Communication Networks
IJCSI Internatonal Journal of Computer Scence Issues, Vol. 9, Issue 1, No 2, January 2012 ISSN (Onlne): 1694-0814 www.ijcsi.org 81 Performance Evaluaton of QoS Parameters n Dynamc Spectrum Sharng for Heterogeneous
More informationANNUAL OF NAVIGATION 11/2006
ANNUAL OF NAVIGATION 11/2006 TOMASZ PRACZYK Naval Unversty of Gdyna A FEEDFORWARD LINEAR NEURAL NETWORK WITH HEBBA SELFORGANIZATION IN RADAR IMAGE COMPRESSION ABSTRACT The artcle presents the applcaton
More information4.3- Modeling the Diode Forward Characteristic
2/8/2012 3_3 Modelng the ode Forward Characterstcs 1/3 4.3- Modelng the ode Forward Characterstc Readng Assgnment: pp. 179-188 How do we analyze crcuts wth juncton dodes? 2 ways: Exact Solutons ffcult!
More informationRESOURCE 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 informationClustering 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 informationFull-duplex Relaying for D2D Communication in mmwave based 5G Networks
Full-duplex Relayng for D2D Communcaton n mmwave based 5G Networks Boang Ma Hamed Shah-Mansour Member IEEE and Vncent W.S. Wong Fellow IEEE Abstract Devce-to-devce D2D communcaton whch can offload data
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 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 informationEnergy 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 informationLow Switching Frequency Active Harmonic Elimination in Multilevel Converters with Unequal DC Voltages
Low Swtchng Frequency Actve Harmonc Elmnaton n Multlevel Converters wth Unequal DC Voltages Zhong Du,, Leon M. Tolbert, John N. Chasson, Hu L The Unversty of Tennessee Electrcal and Computer Engneerng
More informationPower Minimization Under Constant Throughput Constraint in Wireless Networks with Beamforming
Power Mnmzaton Under Constant Throughput Constrant n Wreless etworks wth Beamformng Zhu Han and K.J. Ray Lu, Electrcal and Computer Engneer Department, Unversty of Maryland, College Park. Abstract In mult-access
More informationantenna 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 informationproblems palette of David Rock and Mary K. Porter 6. A local musician comes to your school to give a performance
palette of problems Davd Rock and Mary K. Porter 1. If n represents an nteger, whch of the followng expressons yelds the greatest value? n,, n, n, n n. A 60-watt lghtbulb s used for 95 hours before t burns
More informationSecure Transmission of Sensitive data using multiple channels
Secure Transmsson of Senstve data usng multple channels Ahmed A. Belal, Ph.D. Department of computer scence and automatc control Faculty of Engneerng Unversty of Alexandra Alexandra, Egypt. aabelal@hotmal.com
More informationOPTIMAL GUARANTEED SERVICES TIMED TOKEN (OGSTT) MEDIA ACCESS CONTROL (MAC) PROTOCOL FOR NETWORKS THAT
OPTIMAL GUARANTEED SERVICES TIMED TOKEN (OGSTT) MEDIA ACCESS CONTROL () PROTOCOL FOR NETWORKS THAT SUPPORT HARD R AND NON R S. Ozuomba 1, C. O. Amaefule 2, J. J. Afolayan 3 1, 3DEPT. OF ELECTRICAL/ELECTRONIC
More informationPriority based Dynamic Multiple Robot Path Planning
2nd Internatonal Conference on Autonomous obots and Agents Prorty based Dynamc Multple obot Path Plannng Abstract Taxong Zheng Department of Automaton Chongqng Unversty of Post and Telecommuncaton, Chna
More informationTODAY S wireless networks are characterized as a static
IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 10, NO. 2, FEBRUARY 2011 161 A Spectrum Decson Framework for Cogntve Rado Networks Won-Yeol Lee, Student Member, IEEE, and Ian F. Akyldz, Fellow, IEEE Abstract
More informationPRACTICAL, 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 informationAdaptive System Control with PID Neural Networks
Adaptve System Control wth PID Neural Networs F. Shahra a, M.A. Fanae b, A.R. Aromandzadeh a a Department of Chemcal Engneerng, Unversty of Sstan and Baluchestan, Zahedan, Iran. b Department of Chemcal
More informationWebinar Series TMIP VISION
Webnar Seres TMIP VISION TMIP provdes techncal support and promotes knowledge and nformaton exchange n the transportaton plannng and modelng communty. DISCLAIMER The vews and opnons expressed durng ths
More informationSubcarrier allocation for OFDMA wireless channels using lagrangian relaxation methods
Unversty of Wollongong Research Onlne Faculty of Informatcs - Papers (Archve) Faculty of Engneerng and Informaton Scences 2006 Subcarrer allocaton for OFDMA wreless channels usng lagrangan relaxaton methods
More informationPractical Issues with the Timing Analysis of the Controller Area Network
Practcal Issues wth the Tmng Analyss of the Controller Area Network Marco D Natale Scuola Superore Sant Anna, Italy. Emal: marco@sssup.t Habo Zeng McGll Unversty, Canada. Emal: habo.zeng@mcgll.ca Abstract
More informationRejection of PSK Interference in DS-SS/PSK System Using Adaptive Transversal Filter with Conditional Response Recalculation
SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol., No., November 23, 3-9 Rejecton of PSK Interference n DS-SS/PSK System Usng Adaptve Transversal Flter wth Condtonal Response Recalculaton Zorca Nkolć, Bojan
More informationThroughput 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 informationLearning Ensembles of Convolutional Neural Networks
Learnng Ensembles of Convolutonal Neural Networks Lran Chen The Unversty of Chcago Faculty Mentor: Greg Shakhnarovch Toyota Technologcal Insttute at Chcago 1 Introducton Convolutonal Neural Networks (CNN)
More informationA Fuzzy-based Routing Strategy for Multihop Cognitive Radio Networks
74 Internatonal Journal of Communcaton Networks and Informaton Securty (IJCNIS) Vol. 3, No., Aprl 0 A Fuzzy-based Routng Strategy for Multhop Cogntve Rado Networks Al El Masr, Naceur Malouch and Hcham
More informationErgodic Capacity of Block-Fading Gaussian Broadcast and Multi-access Channels for Single-User-Selection and Constant-Power
7th European Sgnal Processng Conference EUSIPCO 29 Glasgow, Scotland, August 24-28, 29 Ergodc Capacty of Block-Fadng Gaussan Broadcast and Mult-access Channels for Sngle-User-Selecton and Constant-Power
More informationPerformance 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 informationEvaluate the Effective of Annular Aperture on the OTF for Fractal Optical Modulator
Global Advanced Research Journal of Management and Busness Studes (ISSN: 2315-5086) Vol. 4(3) pp. 082-086, March, 2015 Avalable onlne http://garj.org/garjmbs/ndex.htm Copyrght 2015 Global Advanced Research
More information