Ergodic Capacity of Block-Fading Gaussian Broadcast and Multi-access Channels for Single-User-Selection and Constant-Power
|
|
- Esther Quinn
- 5 years ago
- Views:
Transcription
1 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 Mohammad Shaqfeh, Norbert Goertz 2 and John Thompson 3 Department of Electrcal Engneerng, Teas A&M Unversty n Qatar, P.O.Bo 23874, Educaton Cty, Doha, Qatar. E-mal: mohammad.shaqfeh@qatar.tamu.edu 2 Insttute of Communcatons and Rado-Frequency Engneerng, Venna Unversty of Technology, Gusshausstrasse 25/389, A-4 Wen, Austra. E-mal: norbert.goertz@nt.tuwen.ac.at 3 Insttute for Dgtal Communcatons, Jont Research Insttute for Sgnal & Image Processng, School of Engneerng and Electroncs, The Unversty of Ednburgh, Mayfeld Rd., Ednburgh EH9 3JL, Scotland, UK. E-mal: John.Thompson@ed.ac.uk Abstract We consder the ergodc capacty regon of block-fadng Gaussan multuser channels wth channel-state nformaton at both the transmtters and the recevers. We assume a sngle constrant on the total long-term average power used for both broadcast and multaccess channels. In addton to the optmal soluton known from the lterature, we provde analytc epressons some of whch are novel to characterze the boundary surface of the capacty regon under aulary constrants whch nclude sngle-user-selecton per block, constant total transmt-power per block and the combnaton of both. We also provde optmal resource allocaton schemes to acheve the capacty lmts for each case under consderaton. Moreover, we provde numercal eamples to compare the cases. As an llustratve eample, we analyze the two-user case, although the results carry over to the M-user case. I. INTRODUCTION Fadng channels both tme and frequency selectve can be modeled as a famly of parallel Gaussan channels: ths s called a blockfadng channel ]. Each of the parallel Gaussan channel blocks corresponds to a fadng state. In general, the capacty of block-fadng multuser channels wth channel-state-nformaton CSI at both the transmtters and the recevers can be acheved by optmal power allocaton over the channel blocks and optmal resource rate and power allocaton over the users n each of the channel blocks. Ths s applcable to both the broadcast channel BC one-to-many multuser channel 2], and the mult-access channel MAC manyto-one multuser channel 3]. From a practcal communcatons engneerng perspectve, the optmal solutons are n most cases dffcult f not mpractcal to mplement. Thus, sub-optmal solutons whch have close-to-optmum performance and, at the same tme, lend themselves to an easy mplementaton are favorable. The optmal power allocaton scheme over block-fadng Gaussan broadcast and mult-access channels s gven by the water-fllng approach: more power s allocated when the channel s better and, dependng on the desred operatng pont on the capacty regon s boundary surface, some users are assgned hgher average power to meet ther rate demands. As a consequence of ths power allocaton polcy, the total and ndvdual transmsson powers wll vary hugely. Ths wll cause problems when, e.g., the transmtter.e. the base staton n the broadcast case has mamum power constrants n order not to cause too much nterference n adjacent cells. Furthermore, adaptve power control requres addtonal computatonal complety to mantan the average power constrant, and varable transmsson power s also lkely to requre more epensve rado-frequency crcutry. The optmal resource allocaton over a flat-faded channel block nvolves applyng the optmal channel-access scheme, whch s code dvson multple access n MAC or superposton codng n BC wth successve nterference cancellaton SIC at the recevers. Furthermore, the number of users scheduled n a channel block vares dependng on the channel condtons. Superposton codng wth SIC at the recevers can hardly be mplemented n practce, because of the complety nvolved, the necessty to nform all users about the order n whch successve cancellaton has to be conducted ncludng the codng schemes used sgnalng overhead, and dfferent blockszes used for encodng of dfferent users: cancellaton of a user s sgnal s only possble when the whole codeword for ths user has been receved, although the user to be detected due to delay constrants may well have a much shorter although stll long channel codng blocksze. As ths user would have to wat for decodng untl the nterferng user s much longer codeword has been receved, delay constrants are lkely to be volated. II. OBJECTIVES We nvestgate the ergodc capacty lmts and the optmal solutons to acheve these lmts under practcally relevant restrctons that enforce the use of constant total transmsson power per fadng state channel block, sngle-user selecton per fadng state or both. Constant total power per block s to be nterpreted such that n each and every channel block the sum power for all users s constant. For a broadcast channel ths means that the total power used by the base staton for all users s the same n every channel block although the number of users scheduled n every block s varable and subject to In practce, codng for a user wll be spread over as many blocks as possble to obtan long codewords that wll allow for effcent channel codng. EURASIP,
2 optmzaton. In the multple-access case, agan the sum of all powers of all users transmtters s assumed to be constant. In our analyss of the mult-access channels MAC, we assume a sngle long-term average sum-transmt-power constrant nstead of ndvdual power constrants for the users that are assumed n prevous work 3]. Ths case s also relevant n practce 4]. Furthermore, t gves a more general soluton wth an etra nformaton cannot be obtaned from 3] about the optmal average powers to be allocated to each user to acheve a certan operatng pont. In 5] the dualty of the MAC and BC channels was dscussed. It was shown that the capacty regon of the MAC channels wth sum-power constrant s dentcal to the capacty regon of the dual 2 BC channels. Thus, n all the cases under consderaton, the equatons characterzng the boundary surface of the capacty regon are applcable to both the BC and the dual MAC channels. Furthermore, there ests a strkng smlarty between the optmal resource allocaton for both channels. Our objectve, n ths paper, s to study how much we wll lose n terms of system capacty when we apply one or both of the specfed aulary constrants. In order to answer ths queston, we gve closed-form epressons whch are novel contrbutons that characterze the capacty lmts and descrbe resource allocaton schemes for BC and MAC agan wth some novel contrbutons to acheve these lmts for the followng four cases wth dfferent constrants: OPT: optmal soluton, wthout any aulary constrants new analytcal results that complement the orgnal work n the lterature,.e. 2] for the BC case and 3] for the MAC case, presented n ths paper. CP: constant sum power of all users n every channel state new analytcal results presented n ths paper. SU: selecton of a sngle-user only n every channel state. CP-SU: constant sum power and sngle-user selecton n every channel state. We provde numercal results n whch we compare the four cases. To vsualze the capacty lmts, we consder the two-user case, wth the assumpton of dfferent long-term average channel qualtes of the users. Qualtatvely, the results carry over to the M-user case. We perform analyss for a hgher number of users as well by selectng a specfc operatng pont ma. sum-throughput for symmetrc channels. III. CHANNEL MODEL The block-fadng channel s used to model tme and frequency selectve fadng channels. The fadng channels are dvded nto a famly of parallel Gaussan constant channels, each corresponds to a flat fadng state. These constant channels are called blocks. A channel block could last for several tme slots as long as the channel qualty s almost constant dependent on fadng statstcs. The M-user Gaussan block-fadng broadcast channel BC conssts of a sngle transmtter and M recevers. In channel block k, the transmtter broadcasts a sgnal k], and the receved sgnals are y k] = h k]k] + n k], =,, M where h k] > s the constant channel qualty.e. power gan 3 between the transmtter and the -th recever at channel-block k, 2 BC and MAC channels are dual f they have the same channel vector h.e. h of recever n the BC equals h of transmtter n the MAC. 3 In ths paper we assume, wthout loss of generalty, that the channel gan h s real and representng the power gan of the lnk. h does not have magnary part snce we assume perfect phase nformaton at the recevers. and n k] s Gaussan nose wth zero mean of that recever. The noses n k] are statstcally ndependent, and are assumed to have a common varance. The M-user Gaussan block-fadng mult-access channel MAC conssts of a sngle recever and M transmtters. At channel block k, each transmtter transmts a sgnal k], and the recever receves the composte sgnal yk] = hk] k] + nk] = where h k] > s the constant channel qualty between the -th transmtter and the recever at channel-block k. The fadng processes of all users are ndependent of each other, are statonary and have contnuous probablty densty functons, f h. In the numercal eamples through the paper, we assume the fadng processes have the Raylegh 4 dstrbuton. The cumulatve dstrbuton functons of the fadng processes are denoted by F h =. f h h dh. We use the notaton P k] and R k] to ndcate the power 5 and the rate bts/sec/hz respectvely that are allocated to user n channel block k. The long-term average rate that s allocated to user s denoted as R. The long-term average sum-power constrant s denoted as P. IV. PROBLEM FORMULATION The ergodc capacty regon s defned as the set of all achevable rate vectors R such that the long-term average power constrant P over all channel blocks s not eceeded. The optmum ponts wthn the capacty regon are those that are located on the boundary surface. The latter can be characterzed as the closure of the parametrcally defned surface { Rµ : µ R M +, µ = } where for every weghtng factor vector µ, the rate vector Rµ can be obtaned by solvng the optmzaton problem: ma K K k= = µ R k] subject to K K k= = P k] = P 2 where K s the total number of channel blocks, and M s the number of actve users. We assume w.l.o.g. that all channel blocks have dentcal frequency bandwdth and tme duraton. The two aulary constrants that are consdered n ths work to be added to the problem defnton n 2 are: Constant sum power per channel block: Pk] = P k] = P 3 = Sngle-user selecton per channel block: Rk] has a mamum number of one non-zero element. V. CHARACTERIZATION OF THE BOUNDARY OF THE CAPACITY REGION In ths secton, we provde characterzaton of the boundary of the capacty regon of block-fadng BC and MAC channels for the cases 4 f h = h ep h, h s the average channel qualty 5 When we use the notaton P, we mean the transmt power P T. The receved power s ndcated as P R. 785
3 under consderaton 6. Ths ncludes descrbng resource allocaton schemes to acheve the capacty boundary lmts of BC and MAC channels, and gvng closed-form epressons that characterze the capacty lmts the same epressons are applcable to both BC and dual MAC for a gven weghtng vector µ defnng one pont n the boundary surface. A. OPT: Optmal Case No Aulary Constrants As dscussed n ], problem 2 can be solved by frst applyng the Lagrangan characterzaton n order to defne the problem n an unconstraned format. The resultng optmzaton problem s: K M ma µ R k] P k] 4 {Pk]} k= Ths s equvalent to K k= ma Pk] = = M µ R k] Pk] = where s selected such that K Pk] = K P 6 k= Thus, the man optmzaton problem s decomposed nto a famly of optmzaton problems, one for each channel block, and an equaton to control the power prce n order to mantan the longterm average power constrant. Followng the procedure descrbed n ] by defnng margnal utlty functons, and by etendng these results to the MAC case, we provde a summary of the soluton: Power allocaton over the channel blocks: The total power transmtted n a block k s dentcal n BC ] and MAC channels wth + = ma,: P sumk] = ma µ h k] + ] 5. 7 Resource allocaton n each channel block: The optmal resource allocaton over a flat-faded channel block nvolves applyng the optmal channel-access scheme, whch s code dvson multple access n MAC or superposton codng n BC wth successve nterference cancellaton SIC at the recevers. The SIC at the recevers of BC channels s n order of decreasng µ. Each recever decodes the sgnals sent to users of hgher µ before decodng ts own sgnal. However, n MAC channels, the recever performs SIC n order of ncreasng µ 5]. We provde a summary of the greedy algorthm procedure to compute the power allocated to each user n channel block k, for both BC ] and MAC novel contrbuton by etendng results of BC to MAC wth sum power constrant channels: Margnal utltes functons rate revenue mnus power cost are defned for each channel block k: BC: u z µ h k] + z, z 8 MAC: u z µ + z h k], z 9 Then based on the margnal utltes whch are dependent on the 6 The detaled proofs are omtted due to paper length restrcton. We assume here that the reader s aware of the orgnal papers n ths topc manly ] as our work complements these results. The proofs wll, however, be gven n a full journal paper verson of ths work 6]. channel qualtes vector hk], the ntervals A are obtaned: A {z, : u z > u jz j and u z > } Snce u z s monotoncally decreasng and u z, u jz j cross each other at mamum once, the nterval A s contnuous. The power allocaton s calculated as: BC: P k] = A dz MAC: P k] = σ2 dz h k] A To derve equatons to characterze the boundary surface of the capacty regon, we complement the work n ] to get the followng equatons to compute Rµ n. We use the assumpton that the fadng processes of all users are statonary wth contnuous probablty densty functons and ndependent of each other: for each user =,..., M R OPT = or equvalently R OPT = µ + z +z µ z f h F hj α ddz 2 µ j + z f h F hj β ddz 3 where n 2, 3 s computed based on 6 whch, n our case of ndependent fadng processes, s equvalent to: f h F hj ζ µ ] d = P 4 µ j There are two other equvalent forms to compute : +z f h F hj α ddz = P 5 j µ α, β, ζ are gven by: µ µ z β = f h j α = + µ +z j µ + z µ ζ = + µ F hj β ddz = P The notaton n 2, 3, 4 s defned as 7]: =. { f. 2 + f < B. CP: Constant Sum-Power per Block In ths case, the man optmzaton problem 2 becomes equvalent to optmzng over each channel block k: ma µ R k] subject to = P k] = P 2 Thus, the problem s to allocate the resources over the users n each channel block. The power allocated to each user n each channel block can be obtaned usng the same greedy procedure of the optmal case, but wth the replacement of the global power prce n 8, 9 by = 786
4 block-dependent power prce k], whch s obtaned as: k] = ma µ h k] + P 22 The channel access scheme and the order of SIC s dentcal to the OPT case. The boundary surface s characterzed by the equaton: R CP = P + z f h F hj β ddz 23 j where β defned n 8, and the notaton ] n 2. C. SU: Mamum of Sngle-User Selecton per Block In ths case, the soluton of the optmzaton problems over each channel block becomes a user selecton strategy, where the user to be scheduled s the one who mamzes the selecton argument polcy. The only user m scheduled to transmt MAC or receve BC n block k, and the power allocated to ths user are calculated accordng to: m = arg ma µ R k] Pk] 24 where P k] s calculated accordng to: P k] = µ ] + 25 h k] The boundary surface s characterzed by the equaton 8]: R SU µ = f h F hj γ log d 26 µ j where n 26 s computed accordng to f h F hj γ µ j γ n 26, 27 s gven by: γ = W µ µ ] d = P 27 µ ep ] 28 µ wth W the Lambert functon 9] nverse of f = e. D. CP-SU: Both Constrants In ths case, the only user m scheduled to transmt MAC or receve BC n block k, and the power allocated to ths user are calculated accordng to: m = arg ma µ R k] and P k] = P 29 R k] n 24 and 29 s the Shannon capacty of AWGN channel: R k] = log + hk]pk] The boundary surface s characterzed by 8]: R CP-SU = where η s defned as: f h j F hj η log η = + P µ + P d 3 3 P VI. NUMERICAL EXAMPLES A. Comparson of Two-User Case We provde a numercal eample of applyng the equatons to characterze the boundary surface of the capacty regon for the four cases under consderaton n a scenaro of two users. The two-user case s selected because t s possble to vsualze the capacty regons and compare the dfferent cases. Qualtatvely, the results carry over the general M-user case. Second USer Average Rate bts/sec/hz OPT SU CP CP SU Frst User Average Rate bts/sec/hz Fg.. Boundares of the ergodc capacty regons for the two-user case. The users are Raylegh-faded wth db dfference n average channel qualtes. In Fg. we show the capacty regons wth the assumpton that the users channels are fadng ndependently and wth Raylegh dstrbuton. The frst user channel has db better long-term average channel qualty over the second user channel. Any specfc pont n the capacty boundary can be acheved by adjustng the weghtng factors µ. We selected a relevant case n whch the network average spectral effcency can range between and 3 bts/sec/hz. The man conclusons we obtan from the results are: Power control s more mportant when the operatng pont of the system has overall low spectral effcency to serve weakchannel users. For hgh spectral effcences, usng constant power per block s justfed and has mnor detrmental effects to the capacty of the system. For constant transmt power systems, applyng superposton codng provdes neglgble mprovements to the achevable rates. Thus, usng sngle-user selecton scheme n such systems s justfed. On the other hand, for systems applyng optmal power control, superposton codng s useful for a range of operatng ponts. B. Sum-Throughput Comparson for Symmetrc Channels In ths eample, we compare the capacty dfference between systems applyng optmal power control and constant power per block systems for varous number of users. Snce t s not possble to vsualze the capacty regons for systems wth more than 3 users, we use nstead a specfc operatng pont wthn the capacty boundary surface. We select the mamum sum-throughput capacty and make the analyss wth assumpton of symmetrc users channels. 787
5 Furthermore, wth the assumpton of Raylegh fadng channels, we can derve close-form epressons for the capactes as a functon of the number of users M. For the constant power system, we obtan: R sum = M σ 2 σ 2 ep h P E h P = where E s the eponental ntegral functon E ep u du u 32 For the system applyng optmal power control, we obtan: R sum = M E 33 = where s adjusted so that the power constrant s acheved: M h P σ = ep ] M E 2 = 34 characterzaton of the capacty regon n these cases s mportant n order to be able to compare the performance of the system under the practcal constrants. We have provded numercal eamples to compare the cases under consderaton. Addtonally, we have descrbed the optmal resource allocaton schemes to operate at the capacty lmts. Ths topc was studed n the lterature for the optmal case. However, we have etended the results n order to nclude the cases of the aulary constrants. ACKNOWLEDGEMENTS The work reported n ths paper has formed part of the Core 4 Research Program of the Vrtual Centre of Ecellence n Moble and Personal Communcatons, Moble VCE, whose fundng support, ncludng that of EPSRC, s gratefully acknowledged. Fully detaled techncal reports on ths research are avalable to Industral Members of Moble VCE. The authors would also lke to thank for the support from the Scottsh Fundng Councl for the Jont Research Insttute wth the Herot-Watt Unversty whch s a part of the Ednburgh Research Partnershp. M= M=5 M=2 M= Spectral Effcency bts/sec/hz 2 2 Average SNR at recevers Fg. 2. Dfferences n spectral effcency between optmal power control sold lnes and constant power per block dashed lnes for dfferent number of users M. Raylegh fadng channels wth dentcal long-term average channel qualtes. Mamum sum-throughput s consdered. From the results n Fg. 2, we can fnd rough estmates of system spectral effcences over whch the applcaton of the constant power constrant s justfed. As the number of users n the system ncreases, the rate level, over whch the constant power system approaches the optmal power control system, decreases. For eample, n a sngle user system, usng constant power whle operatng above 4 bts/sec/hz s very close to the optmal case. Whle a value of 3 bts/sec/hz s applcable n two users system, and appromately.5 bts/sec/hz for M =. REFERENCES ] D. Tse, Optmal power allocaton over parallel Gaussan broadcast channels, unpublshed, avalable at dtse/broadcast2.pdf. 2] L. L and A. Goldsmth, Capacty and optmal resource allocaton for fadng broadcast channels Part : Ergodc capacty, IEEE Transactons on Informaton Theory, vol. 47, no. 3, pp. 83 2, Mar. 2. 3] D. Tse and S. Hanly, Multaccess fadng channels Part : Polymatrod structure, optmal resource allocaton and throughput capactes, IEEE Transactons on Informaton Theory, vol. 44, no. 7, pp , Nov ] G. Gupta and S. Toumps, Power allocaton over parallel Gaussan multple access and broadcast channels, IEEE Transactons on Informaton Theory, vol. 52, no. 7, pp , July 26. 5] N. Jndal, S. Vshwanath, and A. Goldsmth, On the dualty of Gaussan multple-access and broadcast channels, IEEE Transactons on Informaton Theory, vol. 5, no. 5, pp , May 24. 6] M. Shaqfeh and N. Goertz, Ergodc capacty of block-fadng Gaussan broadcast and mult-access channels for sngle-user-selecton and constant-power, submtted to EURASIP Journal on Wreless Communcatons and Networkng, Apr ] M. Shaqfeh and N. Goertz, Comments on the boundary of the capacty regon of multaccess fadng channels, to appear n IEEE Transactons on Informaton Theory. 8] M. Shaqfeh and N. Goertz, A new generc framework for comparson of fleble schedulers for delay-tolerant wreless applcatons, submtted to IEEE Transactons on Communcatons, Apr ] R. Corless, G. Gonnet, D. Hare, D. Jeffrey, and D. Knuth, On the Lambert W functon, Advances n Computatonal Mathematcs, vol. 5, pp , 996. VII. CONCLUSIONS We have derved novel closed-form equatons to characterze the boundary surface of the ergodc capacty regon of BC channels and MAC channels wth sum-power constrants under practcal aulary constrants on power per block and user selecton per block. The 788
Performance Analysis of Scheduling Policies for Delay-Tolerant Applications in Centralized Wireless Networks
Performance Analyss of Schedulng Polces for Delay-Tolerant Applcatons n Centralzed Wreless Networks Mohamed Shaqfeh and Norbert Goertz Insttute for Dgtal Communcatons Jont Research Insttute for Sgnal &
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 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 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 informationCalculation 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 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 informationMulticarrier Modulation
Multcarrer Modulaton Wha Sook Jeon Moble Computng & Communcatons Lab Contents Concept of multcarrer modulaton Data transmsson over multple carrers Multcarrer modulaton wth overlappng Chap. subchannels
More informationDesign Rules for Efficient Scheduling of Packet Data on Multiple Antenna Downlink
Desgn Rules for Effcent Schedulng of acet Data on Multple Antenna Downln Davd J. Mazzarese and Wtold A. rzyme Unversty of Alberta / TRLabs Edmonton, Alberta, Canada E-mal: djm@ ece.ualberta.ca / wa@ece.ualberta.ca
More informationDistributed Resource Allocation and Scheduling in OFDMA Wireless Networks
Southern Illnos Unversty Carbondale OpenSIUC Conference Proceedngs Department of Electrcal and Computer Engneerng 11-2006 Dstrbuted Resource Allocaton and Schedulng n OFDMA Wreless Networks Xangpng Qn
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 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 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 informationUplink User Selection Scheme for Multiuser MIMO Systems in a Multicell Environment
Uplnk User Selecton Scheme for Multuser MIMO Systems n a Multcell Envronment Byong Ok Lee School of Electrcal Engneerng and Computer Scence and INMC Seoul Natonal Unversty leebo@moble.snu.ac.kr Oh-Soon
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 informationResource 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 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 informationIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 13, NO. 12, DECEMBER
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 3, NO. 2, DECEMBER 204 695 On Spatal Capacty of Wreless Ad Hoc Networks wth Threshold Based Schedulng Yue Lng Che, Student Member, IEEE, Ru Zhang, Member,
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 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 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 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 informationResource 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 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 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 informationInformation-Theoretic Comparison of Channel Capacity for FDMA and DS-CDMA in a Rayleigh Fading Environment
WSEAS TRANSATIONS on OMMUNIATIONS Informaton-Theoretc omparson of hannel apacty for FDMA and DS-DMA n a Raylegh Fadng Envronment PANAGIOTIS VARZAAS Department of Electroncs Technologcal Educatonal Insttute
More informationIndex Terms Adaptive modulation, Adaptive FEC, Packet Error Rate, Performance.
ANALYTICAL COMPARISON OF THE PERFORMANCE OF ADAPTIVE MODULATION AND CODING IN WIRELESS NETWORK UNDER RAYLEIGH FADING 723 Sab Y.M. BANDIRI, Rafael M.S. BRAGA and Danlo H. SPADOTI Federal Unversty of Itajubá
More informationOptimal Design of High Density WLANs
Optmal Desgn of Hgh Densty 8. WLANs Vvek P. Mhatre Thomson Research Lab, Pars, France mhatre@gmal.com Konstantna Papagannak Intel Research Cambrdge, UK dna.papagannak@ntel.com Abstract: The provsonng of
More informationMultiband Jamming Strategies with Minimum Rate Constraints
Multband Jammng Strateges wth Mnmum Rate Constrants Karm Banawan, Sennur Ulukus, Peng Wang, and Bran Henz Department of Electrcal and Computer Engneerng, Unversty of Maryland, College Park, MD 7 US Army
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 informationComparison of Two Measurement Devices I. Fundamental Ideas.
Comparson of Two Measurement Devces I. Fundamental Ideas. ASQ-RS Qualty Conference March 16, 005 Joseph G. Voelkel, COE, RIT Bruce Sskowsk Rechert, Inc. Topcs The Problem, Eample, Mathematcal Model One
More informationAntenna Selection for Space-Time Communication with Covariance Feedback
Antenna Selecton for Space-Tme Communcaton wth Covarance Feedback G.Barrac and U. Madhow School of Electrcal and Computer Engneerng Unversty of Calforna, Santa Barbara Santa Barbara, CA 93106 Emal: barrac@engneerng.ucsb.edu
More informationarxiv: v1 [cs.it] 30 Sep 2008
A CODED BIT-LOADING LINEAR PRECODED DISCRETE MULTITONE SOLUTION FOR POWER LINE COMMUNICATION Fahad Syed Muhammmad*, Jean-Yves Baudas, Jean-Franços Hélard, and Mattheu Crussère Insttute of Electroncs and
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 informationAn Efficient Method for PAPR Reduction of OFDM Signal with Low Complexity
An Effcent Method for PAPR Reducton of OFDM Sgnal wth Low Complety Mahesh Ingle M.E. EXTC MGMCET,Kamothe Nav Mumba-41009 Sachn Nkalje M.E. EXTC MGMCET Kamothe Nav Mumba-41009 Savta Bhosale H.o.D.(EXTC)
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 informationImpact 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 informationDistributed user selection scheme for uplink multiuser MIMO systems in a multicell environment
Lee et al. EURASIP Journal on Wreless Communcatons and Networkng 212, 212:22 http://s.euraspournals.com/content/212/1/22 RESEARCH Dstrbuted user selecton scheme for uplnk multuser MIMO systems n a multcell
More informationHUAWEI TECHNOLOGIES CO., LTD. Huawei Proprietary Page 1
Project Ttle Date Submtted IEEE 802.16 Broadband Wreless Access Workng Group Double-Stage DL MU-MIMO Scheme 2008-05-05 Source(s) Yang Tang, Young Hoon Kwon, Yajun Kou, Shahab Sanaye,
More informationJoint 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 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 informationPerformance Study of OFDMA vs. OFDM/SDMA
Performance Study of OFDA vs. OFD/SDA Zhua Guo and Wenwu Zhu crosoft Research, Asa 3F, Beng Sgma Center, No. 49, Zhchun Road adan Dstrct, Beng 00080, P. R. Chna {zhguo, wwzhu}@mcrosoft.com Abstract: In
More informationOptimizing Transmission Lengths for Limited Feedback with Non-Binary LDPC Examples
Optmzng Transmsson Lengths for Lmted Feedbac wth on-bnary LDPC Examples Kasra Valna, Sudarsan V. S. Ranganathan, Darush Dvsalar*, and Rchard D. Wesel Department of Electrcal Engneerng, Unversty of Calforna,
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 informationIterative Water-filling for Load-balancing in
Iteratve Water-fllng for Load-balancng n Wreless LAN or Mcrocellular Networks Jeremy K. Chen Theodore S. Rappaport Gustavo de Vecana Wreless Networkng and Communcatons Group (WNCG), The Unversty of Texas
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 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 informationA Spreading Sequence Allocation Procedure for MC-CDMA Transmission Systems
A Spreadng Sequence Allocaton Procedure for MC-CDMA Transmsson Systems Davd Motter, Damen Castelan Mtsubsh Electrc ITE 80, Avenue des Buttes de Coësmes, 35700 Rennes FRAE e-mal: {motter,castelan}@tcl.te.mee.com
More informationChannel aware scheduling for broadcast MIMO systems with orthogonal linear precoding and fairness constraints
Channel aware schedulng for broadcast MIMO systems wth orthogonal lnear precodng and farness constrants G Prmolevo, O Smeone and U Spagnoln Dp d Elettronca e Informazone, Poltecnco d Mlano Pzza L da Vnc,
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 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 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 informationOn the Optimal Solution for BER Performance Improvement in Dual-Hop OFDM Relay Systems
IEEE WCNC 2014 - Workshop on Wreless Evoluton Beyond 2020 On the Optmal Soluton for BER Performance Improvement n Dual-Hop OFD Relay Systems Ens Kocan, lca Peanovc-Dursc Faculty of Electrcal Engneerng
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 informationSuresh Babu, International Journal of Advanced Engineering Technology E-ISSN Int J Adv Engg Tech/Vol. VII/Issue I/Jan.-March.
Research Paper OPTIMUM POWR ALLOCATION AND SYMBOL RROR RAT (SR) PRFORMANC OF VARIOUS SPAC TIM BLOCK CODS (STBC) OVR FADING COGNITIV MIMO CHANNLS IN DIFFRNT WIRLSS NVIRONMNT R. Suresh Babu Address for Correspondence
More informationOptimal Decoders for 4G LTE Communication
Lecture Notes on Informaton heory Vol. 1, No. 4, December 013 Optmal Decoders for 4G LE Communcaton Syed Al Irtaa, Aamr abb, and Qamar-ul-Islam Insttute of Space echnology, Islamabad-44000, Pakstan Emal:
More informationNetwork Reconfiguration in Distribution Systems Using a Modified TS Algorithm
Network Reconfguraton n Dstrbuton Systems Usng a Modfed TS Algorthm ZHANG DONG,FU ZHENGCAI,ZHANG LIUCHUN,SONG ZHENGQIANG School of Electroncs, Informaton and Electrcal Engneerng Shangha Jaotong Unversty
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 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 informationAN IMPROVED BIT LOADING TECHNIQUE FOR ENHANCED ENERGY EFFICIENCY IN NEXT GENERATION VOICE/VIDEO APPLICATIONS
Journal of Engneerng Scence and Technology Vol., o. 4 (6) 476-495 School of Engneerng, Taylor s Unversty A IMPROVED BIT LOADIG TECHIQUE FOR EHACED EERGY EFFICIECY I EXT GEERATIO VOICE/VIDEO APPLICATIOS
More informationBit 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 informationOn Channel Estimation of OFDM-BPSK and -QPSK over Generalized Alpha-Mu Fading Distribution
Int. J. Communcatons, Network and System Scences, 010, 3, 380-384 do:10.436/jcns.010.34048 Publshed Onlne Aprl 010 (http://www.scrp.org/journal/jcns/) On Channel Estmaton of OFDM-BPSK and -QPSK over Generalzed
More informationCharacterization and Analysis of Multi-Hop Wireless MIMO Network Throughput
Characterzaton and Analyss of Mult-Hop Wreless MIMO Network Throughput Bechr Hamdaou EECS Dept., Unversty of Mchgan 226 Hayward Ave, Ann Arbor, Mchgan, USA hamdaou@eecs.umch.edu Kang G. Shn EECS Dept.,
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 informationFUTURE wireless systems will need to provide high data
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL., NO. 1, JANUARY 7 9 Downlnk Performance and Capacty of Dstrbuted Antenna Systems n a Multcell Envronment Wan Cho, Student Member, IEEE, and Jeffrey G.
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 informationAutonomous Dynamic Spectrum Management for Coexistence of Multiple Cognitive Tactical Radio Networks
Autonomous Dynamc Spectrum Management for Coexstence of Multple Cogntve Tactcal Rado Networks Vncent Le Nr, Bart Scheers Abstract In ths paper, dynamc spectrum management s studed for multple cogntve tactcal
More informationPerformance Analysis of Power Line Communication Using DS-CDMA Technique with Adaptive Laguerre Filters
Internatonal Conference on Informaton and Electroncs Engneerng IPCSIT vol.6 ( ( IACSIT Press, Sngapore Performance Analyss of Power Lne Communcaton Usng DS-CDMA Technque wth Adaptve Laguerre Flters S.
More informationJoint Adaptive Modulation and Power Allocation in Cognitive Radio Networks
I. J. Communcatons, etwork and System Scences, 8, 3, 7-83 Publshed Onlne August 8 n ScRes (http://www.scrp.org/journal/jcns/). Jont Adaptve Modulaton and Power Allocaton n Cogntve Rado etworks Dong LI,
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 informationEnhancing Throughput in Wireless Multi-Hop Network with Multiple Packet Reception
Enhancng Throughput n Wreless Mult-Hop Network wth Multple Packet Recepton Ja-lang Lu, Paulne Vandenhove, We Shu, Mn-You Wu Dept. of Computer Scence & Engneerng, Shangha JaoTong Unversty, Shangha, Chna
More informationOptimum Ordering for Coded V-BLAST
Optmum Orderng for Coded V-BLAST Alan Urarte Toboso Thess submtted to the Faculty of Graduate and Postdoctoral Studes n partal fulfllment of the requrements for the degree of Master of Appled Scence n
More informationAdaptive Technique for CI/MC-CDMA System using Combined Strategy of Genetic Algorithms and Neural Network
etwork Protocols and Algorthms Adaptve Technque for CI/MC-CDMA System usng Combned Strategy of Genetc Algorthms and eural etwork Sant P. Maty Department of Informaton Technology, Bengal Engneerng and Scence
More informationA 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 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 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 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 informationDIGITAL multi-tone (DMT) modulation, also known as
26 IEEE Nnth Internatonal Symposum on Spread Spectrum Technques and Applcatons Improved Throughput over Wrelnes wth Adaptve MC-DS-CDMA Mattheu CRUSSIÈRE, Jean-Yves BAUDAIS and Jean-Franços HÉLARD Electroncs
More informationA MODIFIED DIFFERENTIAL EVOLUTION ALGORITHM IN SPARSE LINEAR ANTENNA ARRAY SYNTHESIS
A MODIFIED DIFFERENTIAL EVOLUTION ALORITHM IN SPARSE LINEAR ANTENNA ARRAY SYNTHESIS Kaml Dmller Department of Electrcal-Electroncs Engneerng rne Amercan Unversty North Cyprus, Mersn TURKEY kdmller@gau.edu.tr
More informationA NEW TRANSMISSION STRATEGY FOR SCALABLE MULTIMEDIA DATA ON OFDM SYSTEMS
15th European Sgnal Processng Conference (EUSIPCO 27), Poznan, Poland, September 3-7, 27, copyrght by EURASIP A NEW TRANSMISSION STRATEGY FOR SCALABLE MULTIMEDIA DATA ON OFDM SYSTEMS Heykel Houas, Cléo
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 informationHow to Scale Up the Spectral Efficiency of Multi-way Massive MIMO Relaying?
ow to Scale Up the Spectral Effcency of Mult-way Massve MIMO Relayng? Chung Duc o, en Quoc Ngo, Mchal Matthaou, and Trung Q. Duong School of Electroncs, Electrcal Engneerng and Computer Scence, Queen s
More informationThe Application of Interpolation Algorithms in OFDM Channel Estimation
The Applcaton of Interpolaton Algorthms n OFDM Estmaton Xjun ZHANG 1,, Zhantng YUAN 1, 1 School of Electrcal and Informaton Engneerng, Lanzhou Unversty of Technology, Lanzhou, Gansu 730050, Chna School
More informationGame-Theoretic Spectrum Trading in RF Relay-Assisted Free-Space Optical Communications
Game-Theoretc Spectrum Tradng n RF Relay-Asssted Free-Space Optcal Communcatons 1 arxv:1806.10464v1 [cs.it] 27 Jun 2018 Shenje Huang, Student Member, IEEE, Vahd Shah-Mansour, Member, IEEE, and Majd Safar,
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 informationOn the Feasibility of Receive Collaboration in Wireless Sensor Networks
On the Feasblty of Receve Collaboraton n Wreless Sensor Networs B. Bantaleb, S. Sgg and M. Begl Computer Scence Department Insttute of Operatng System and Computer Networs (IBR) Braunschweg, Germany {behnam,
More informationPower Control for Wireless Data
Power Control for Wreless Data Davd Goodman Narayan Mandayam Electrcal Engneerng WINLAB Polytechnc Unversty Rutgers Unversty 6 Metrotech Center 73 Brett Road Brooklyn, NY, 11201, USA Pscataway, NJ 08854
More informationNoisy Channel-Output Feedback Capacity of the Linear Deterministic Interference Channel
Nosy Channel-Output Feedback Capacty of the Lnear Determnstc Interference Channel Vctor Quntero, Samr M. Perlaza, Jean-Mare Gorce arxv:.4649v6 [cs.it] Jan 6 Abstract In ths paper, the capacty regon of
More informationResearch Article Securing OFDM over Wireless Time-Varying Channels Using Subcarrier Overloading with Joint Signal Constellations
Hndaw Publshng Corporaton EURASIP Journal on Wreless Communcatons and Networkng Volume 2009, Artcle ID 437824, 8 pages do:0.55/2009/437824 Research Artcle Securng OFDM over Wreless Tme-Varyng Channels
More informationEE360: Lecture 7 Outline Cellular System Capacity and ASE Announcements Summary due next week
EE360: Lecture 7 Outlne Cellular System Capacty and ASE Announcements Summary due next week Capacty Area Spectral Effcency Dynamc Resource Allocaton Revew of Cellular Lecture Desgn consderatons: Spectral
More informationResource Allocation for Throughput Enhancement in Cellular Shared Relay Networks
Resource Allocaton for Throughput Enhancement n Cellular Shared Relay Networs Mohamed Fadel, Ahmed Hndy, Amr El-Key, Mohammed Nafe, O. Ozan Koyluoglu, Antona M. Tulno Wreless Intellgent Networs Center
More informationOpportunistic Interference Alignment with 1-Bit Feedback in 3-Cell Interference Channels
Opportunstc Interference Algnment wth -Bt Feedbac n 3-Cell Interference Channels Zhnan Xu, Mngmng Gan, Thomas Zemen,2 FTW (Telecommuncatons Research Center Venna), Venna, Austra 2 AIT Austran Insttute
More informationMultipath Propagation. Outline. What is OFDM? (OFDM) for Broadband Communications and. Orthogonal Frequency Division Multiplexing
Orthogonal Dvson Multplexng (OFDM) for Broadband Communcatons and Dgtal Audo Broadcastng (DAB) Klaus Wtrsal wtrsal@nw.tugraz.at VL: Dgtale Audotechnk, 21. März, 2002 What s OFDM? Modulaton technque Requres
More informationKing s Research Portal
Kng s Research Portal DOI: 10.1109/TWC.2015.2460254 Document Verson Peer revewed verson Lnk to publcaton record n Kng's Research Portal Ctaton for publshed verson (APA): Shrvanmoghaddam, M., L, Y., Dohler,
More informationApproximate Joint MAP Detection of Co-Channel Signals
Approxmate Jont MAP Detecton of Co-Channel Sgnals Danel J Jaubsn and R Mchael Buehrer Moble and Portable Rado Research Group (MPRG), Wreless@VT, Vrgna Tech, Blacsburg, Vrgna, USA E-mal: {djj,buehrer}@vtedu
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 informationDecomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications
Techncal Report Decomposton Prncples and Onlne Learnng n Cross-Layer Optmzaton for Delay-Senstve Applcatons Abstract In ths report, we propose a general cross-layer optmzaton framework n whch we explctly
More informationPower Allocation in Wireless Multi-User Relay Networks
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL 8, NO 5, MAY 2009 2535 Power Allocaton n Wreless Mult-User Relay Networks Khoa T Phan, Student Member, IEEE, Tho Le-Ngoc, Fellow, IEEE, Sergy A Vorobyov,
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 informationOn Interference Alignment for Multi-hop MIMO Networks
013 Proceedngs IEEE INFOCOM On Interference Algnment for Mult-hop MIMO Networks Huacheng Zeng Y Sh Y. Thomas Hou Wenng Lou Sastry Kompella Scott F. Mdkff Vrgna Polytechnc Insttute and State Unversty, USA
More informationThe Throughput of Hybrid-ARQ in Block Fading under Modulation Constraints
The Throughput of Hybrd-ARQ n Block Fadng under Modulaton Constrants Tark Ghanm and Matthew C. Valent Lane Dept. of Comp. Sc. and Elect. Eng. West Vrgna Unversty Morgantown, WV 26506 6109 Emal: mvalent@wvu.edu
More information