University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /GLOCOM.2003.
|
|
- Hector Franklin
- 5 years ago
- Views:
Transcription
1 Coon, J., Siew, J., Beach, MA., Nix, AR., Armour, SMD., & McGeehan, JP. (3). A comparison of MIMO-OFDM and MIMO-SCFDE in WLAN environments. In Goba Teecommunications Conference, 3 (Gobecom 3) (Vo. 6, pp ). Institute of Eectrica and Eectronics Engineers (IEEE). DOI:.19/GLOCOM Peer reviewed version Link to pubished version (if avaiabe):.19/glocom Link to pubication record in Expore Bristo Research PDF-document University of Bristo - Expore Bristo Research Genera rights This document is made avaiabe in accordance with pubisher poicies. Pease cite ony the pubished version using the reference above. Fu terms of use are avaiabe:
2 A Comparison of MIMO-OFDM and MIMO-SCFDE in WLAN Environments J. Coon, J. Siew, M. Beach, A. Nix, S. Armour, and J. McGeehan Centre for Communications Research, University of Bristo Merchant Venturers Buiding, Woodand Road, Bristo BS8 1UB, UK Emai: {Justin.Coon, Abstract Recent deveopments in orthogona frequency division mutipexing (OFDM) and singe-carrier frequency-domain equaization (SCFDE) have sparked debate about the superiority of one method over the other. In this paper, we further this debate by comparing the theoretica performance of OFDM and SCFDE when each is impemented in one of two different mutipe-input mutipe-output (MIMO) architectures: spatia mutipexing and space-time bock codes. This study focuses on the use of MIMO-OFDM and MIMO-SCFDE in wireess oca area network (WLAN) appications. Performance is given in terms of the packet error rate (PER) and the throughput of the systems. I. INTRODUCTION Latey, much attention has been focused on physica ayer (PHY) techniques that are suitabe for high-data-rate mutipeinput mutipe-output (MIMO) wireess communications systems. Of specia interest are techniques that minimize the compexity of the muti-dimensiona equaization process that is required in a wideband MIMO system. In this paper, we present arguments both for and against the use of two techniques, namey orthogona frequency division mutipexing (OFDM) and singe-carrier frequency-domain equaization (SCFDE). These arguments are presented in the form of a theoretica performance comparison. In singe-antenna systems, OFDM is we-documented and is favored among many in academia as we as in industry [1]. SCFDE, a PHY technique of simiar compexity, has received much attention of ate and has recenty stimuated much singe-carrier vs muti-carrier debate [2]. Both of these techniques utiize signa processing in the frequency domain to provide reativey ow-compexity soutions to the probem of equaization. In [2], a comparison of these two technoogies was conducted with a focus on singe-antenna systems empoyed in fixed broadband wireess appications (IEEE 82.16) where the mutipath spread of the channe is ony a few non-zero discrete taps. However, to the best of our knowedge, an OFDM/SCFDE performance comparison has not been conducted for MIMO systems empoyed in wireess oca area network (WLAN) appications where the effects of mutipath propagation in the channe can be much greater. In this paper, we present an investigation of the performance of severa different MIMO-OFDM and MIMO-SCFDE systems in WLAN environments. In section II, an overview of the chosen MIMO-OFDM and MIMO-SCFDE systems is presented. In section III, the seected wireess channe modes are discussed. The resuts that were obtained in this investigation are iustrated in section IV. Finay, concusions are given in section V. II. SYSTEM DESCRIPTION OFDM and SCFDE were appied to two MIMO baseband architectures: spatia mutipexing (SM) and space-time bock coding (STBC). Two transmit antennas and two receive antennas were used in a systems. A generaized bock diagram of the systems under investigation is shown in Figure 1. The key architectura difference between a MIMO-OFDM system and a MIMO-SCFDE system, namey the order in which the operation is executed, is depicted in Figure 1. Other differences between the SCFDE and OFDM architectures incude the impementation of the Viterbi decoder, the designs of the transmit and receive fiters, and the structure of the frequency-domain equaizers. We address these dissimiarities beow. A. Viterbi Decoder Impementation A MIMO architectures were simuated with and without a haf-rate convoutiona code with random bit intereaving foowing the encoder as depicted in Figure 1. The convoutiona code used in this study is specified in [3], [4]. At the receiver, ½-rate conv. enc. AWGN AWGN Π RX Fiter RX Fiter remova remova Space-Time Processing (SM, STBC) FFT FFT OFDM ony Space-Time Processing (Decoupe, Equaize) SCFDE ony Viterbi decoder Π -1 TX Fiter TX Fiter P/S Fig. 1. Generaized bock diagram of MIMO-OFDM and MIMO-SCFDE systems. GLOBECOM /3/$17. 3 IEEE
3 the equaized symbos were mapped to soft bits that were then passed through a soft-input hard-output Viterbi decoder as iustrated in Figure 1. The OFDM systems utiize channe state information (CSI) to weight the branch metrics, thus enhancing the performance of the Viterbi decoder. However, singe-carrier systems are generay unabe to utiize CSI in this fashion because the energy in each transmitted bit is spread across the entire bandwidth of the system. As a resut, a standard soft-input hard-output Viterbi decoder was used in the SCFDE systems. B. TX and RX Fiter Design In genera, the transmit and receive fiters in OFDM systems can be much tighter than those used in singe-carrier systems. Consequenty, we impemented root-raised-cosine fiters with a ro-off factor of.4 at the transmitter and the receiver of each SCFDE system studied and root-raised-cosine fiters with a ro-off factor of.25 at the transmitter and the receiver of each OFDM system [5]. Additionay, the bandwidth used by the simuated systems was kept as cose to MHz as possibe. Therefore, to avoid the introduction of intersymbo interference (ISI) by the fiters, the symbo periods for the OFDM and SCFDE systems were set equa to ns and 7 ns, respectivey. The fu specifications of these fiters are presented in Tabe I. C. Equaizer Design In each MIMO system, two factors affect the design of the frequency-domain equaizer: the PHY technique (i.e. OFDM or SCFDE) and the MIMO architecture (i.e. SM or STBC). Throughout this study, zero forcing (ZF) equaizers were impemented in the OFDM systems whereas minimum meansquared error (MMSE) equaizers were empoyed in the SCFDE systems. Both of these common inear equaization techniques have simiar compexity in the context of MIMO appications. Before discussing each system in turn, some notation is defined. The matrix I q is the q q identity matrix, q is the q q zero matrix, denotes the Kronecker product, and ( ) K, ( ), ( ) T, ( ) H, and E{ } denote the moduo- K, compex conjugate, transpose, conjugate transpose, and expectation operations, respectivey. 1) SM-OFDM: The SM-OFDM equaized symbo vector x is given by x = W SM (Λx + η) (1) where Λ 1,1... Λ1,nt Λ =..... (2) Λ nr,1... Λnr,n t is the overa channe matrix of a system with n t transmit antennas and n r receive antennas and W SM is the ZF equaizer matrix. As previousy mentioned, n t = n r =2in this study. The sub-matrix Λ i,j is a diagona matrix defining the frequency response of a K subcarriers between the jth transmit antenna and the ith receive antenna. The vector x is a 2K 1 vector of transmitted symbos and η is a 2K 1 vector of white Gaussian noise sampes. The ZF equaizer W SM = Λ 1 removes the channe distortion from the received symbos at the expense of possiby enhancing the noise as seen in (1). 2) STBC-OFDM: For STBC-OFDM systems, equaization is performed after the received signas are combined [6]. If s is the stacked 2K 1 vector of symbos after maximum ratio combining (MRC), the equaized symbo vector x is given by x = W STBC (s + η). (3) In (3), W STBC = Λ 1 is the ZF equaizer matrix where ( ) 2 ( 2 Λ = diag h (1) i,j,1,..., h (p) i,j,k) i,j is a diagona matrix and h (p) i,j,k is the channe gain between the jth transmit antenna and the ith receive antenna on subcarrier k for the pth MRC signa. The vector η is the noise after MRC. 3) SM-SCFDE: For SM-SCFDE systems, the vector x of equaized symbos at both receive antennas is given by x = D 1 F W (ΛD SM Fx + D F η) (4) where D F = I 2 F. The matrix F is the K K FFT matrix where K is the ength of each transmitted bock in the SCFDE system. In (4), W SM is the MMSE equaizer matrix defined in [7] and reproduced beow for convenience. ( ) 1 W SM = Λ H ΛΛ H + σ2 η σx 2 I 2K. (5) The quantity ση 2 is the tota variance of the compex Gaussian noise process at one receive antenna, σx 2 is the tota power of the compex transmitted signa from one transmit antenna, and Λ is defined in (2). As observed in (4), the equaizer spans both receiver branches to separate the transmitted symbo streams and equaize the received symbos simutaneousy. 4) STBC-SCFDE: The MMSE equaizer used in the STBC- SCFDE systems, first discussed in [8], is different from that empoyed in the SM-SCFDE systems in that the decouping and equaization processes are performed separatey. To iustrate, et x (1) and x (2) be the two K 1 symbo vectors transmitted from the first and second antennas respectivey at time. Then the two vectors transmitted at time +1, directy after the first two vectors, are defined by x (1) +1 (k) = x (2) (( k) K ) x (2) +1 (k) = x (1) (( k) K ) for k =, 1,..., K 1. At the receiver, the vectors corresponding to those transmitted during the (+1)th time sot are conjugated, after which each received vector is transformed into the frequency domain and MRC is impemented to decoupe the transmitted sequences. The resuting ength-2k vector of symbos prior to equaization is given by Y = Λ ( H (i) Λ(i) D F x + D F η (i)) (6) i=1 i,j GLOBECOM /3/$17. 3 IEEE
4 where Λ (i) = ( Λi,1 Λi,2 Λ i,2 Λ i,1 Λ i,j is defined in (2), x =(x T(1), x T(2) ) T, and η (i) represents the noise contribution from the ith receive antenna. The sequence Y is then passed through an MMSE equaizer. The equaizer matrix W STBC for this system is obtained by soving the equation { W STBC = arg min E x x 2} (7) W where x = D 1 F WY represents the equaized symbos in the time domain. It can be shown that the soution to (7) is [6], [8] ( ) 1 W STBC = Λ + σ2 η σx 2 I 2K (8) where Λ = i=1 j=1 Λ 2 i,j K K i=1 j=1 ), 2 Λ i,j III. CHANNEL DESCRIPTION. (9) In [9], five different indoor WLAN channe modes are described. For this study, the channe modes with the shortest and the ongest RMS deay spreads were chosen. The ETSI A mode corresponds to a typica office environment and has an RMS deay spread of ns, whereas the ETSI E mode corresponds to a typica arge open space environment with an RMS deay spread of 2 ns. Both of these channes represent non-ine-of-sight (NLOS) conditions in their respective environments. In the simuations, statisticay independent Rayeigh fading channe reaizations were generated, and the receiver was assumed to have compete knowedge of the channe. Athough these modes are specified for MHz bandwidth, the fiters discussed in section II-B were empoyed to give an RF bandwidth of MHz. IV. SIMULATION RESULTS To provide a fair comparison, severa system parameters were hed constant in the simuations. A compete ist of the simuation parameters is given in Tabe I. It is important to note that the number of bits in a packet specified in Tabe I incudes six tai bits used to return the encoder to the zero state for the systems impementing the convoutiona code. As metrics of performance, packet error rate (PER) and throughput were used. To simuate the PER of a system, one packet was transmitted for each independent channe reaization. The transmission of one packet was assumed to be we within the coherence time of the channe. The PERs of systems empoying QPSK and 16-QAM in the ETSI A channe are shown in Figure 2. Likewise, the PERs of systems empoying QPSK and 16-QAM in the ETSI E channe are shown in Figure 3. Figures 4 and 5 show the throughputs of TABLE I SIMULATION PARAMETERS. SCFDE Parameters OFDM Parameters Bandwidth MHz.5 MHz Moduation QPSK & 16-QAM QPSK & 16-QAM Channes simuated ETSI A & E ETSI A & E Convoutiona (2,1,6) [3], [4] (2,1,6) [3], [4] encoder Viterbi decoder soft-input hard-output soft-input hard-output (standard) (weighted metrics) Equaization MMSE ZF Bits per packet No. of subcarriers (symbos per bock) TX fiter RRC RRC Sampe rate 7 sampes/symbo 5 sampes/symbo Fiter span symbos symbos Ro-off factor.4.25 [5] RX fiter RRC RRC Sampe rate 7 sampes/symbo 5 sampes/symbo Fiter span symbos symbos Ro-off factor.4.25 [5] Symbo period 7 ns ns Cycic prefix 12 sym. 84 ns 17 sym. 8 ns the simuated systems in the ETSI A and ETSI E channes, respectivey. In Figures 2 through 5, cd signifies a system in which the convoutiona code is empoyed, uncd signifies a system that does not utiize the code; curves reated to SCFDE systems are soid ines, and curves reated to OFDM systems are dot-dashed ines. A. PER Anaysis The graphs presented in Figures 2 and 3 show a number of interesting trends. Firsty, as expected, the uncoded SM- OFDM systems perform extremey poory and are, in genera, outperformed by the SM-SCFDE systems. This is most obvious in Figure 2(a) where the SNR gain of the uncoded SM- SCFDE system is about db at a PER of.3. Secondy, the best PER performance is achieved by concatenating a channe code with STBC. This is aso expected since this arrangement expoits spatia diversity and coding. Furthermore, the performance difference between the OFDM and SCFDE system with this particuar architecture is at most.5 db. It is interesting to note that resuts pubished in [2] for singe-input singe-output (SISO) systems with inear equaization show that for a sufficienty strong channe code, OFDM systems outperform SCFDE systems. In the MIMO case, however, this trend appears to be reversed as shown by the coded SM and uncoded STBC curves in Figures 2 and 3. An exception to the trend is seen in Figure 2(b), where it is shown that the SM-SCFDE system performs approximatey 2 db worse than the SM-OFDM system in the ETSI A channe when a 16-QAM consteation is used. This behavior is most ikey due to the imitations of MMSE equaization when dense signa consteations are used. Identica behavior is not observed for transmissions in the ETSI E channe GLOBECOM /3/$17. 3 IEEE
5 Probabiity of Packet Error 2 Probabiity of Packet Error (a) QPSK (b) 16-QAM Fig. 2. Packet error rates for STBC and SM systems in the ETSI A channe (n t = n r =2). Probabiity of Packet Error 2 Probabiity of Packet Error (a) QPSK (b) 16-QAM Fig. 3. Packet error rates for STBC and SM systems in the ETSI E channe (n t = n r =2). due to SCFDE s efficient utiization of frequency diversity and OFDM s sensitivity to the oss of orthogonaity between subcarriers, which is caused by an insufficient cycic prefix. The resuts aso show the trade-off between SM and STBC schemes for wideband systems. For exampe, in the ETSI A channe, the coded SM and uncoded STBC-OFDM systems perform amost identicay as shown in Figure 2(a). However, in the ETSI E channe, the SM-OFDM system outperforms the STBC-OFDM system in Figure 3(a) by approximatey 3 db at a PER of.1. A simiar trend can be seen for the same systems with 16-QAM moduation in Figures 2(b) and 3(b). These trends impy that the expoitation of frequency diversity can potentiay provide better performance gains for MIMO-OFDM systems than the utiization of spatia diversity aone. In practica terms this means that importance shoud be paced on the type of channe code empoyed over the type of diversity scheme used. Frequency diversity can be expoited further by increasing the number of subcarriers used in the system, which decreases the subcarrier spacing thus causing sma perturbations in the channe to become significant. The practica trade-off here is that the OFDM system becomes more sensitive to synchronization errors and imperfect channe knowedge as the number of subcarriers increase. In the SCFDE systems, the trade-off between SM and STBC is most obvious in the ETSI A channe where the coded SM-SCFDE systems perform better at ow SNR whie the STBC-SCFDE systems perform better at high SNR as shown in Figures 2(a) and 2(b). The crossover occurs at an SNR of approximatey 12 db (PER =.25) for the QPSK moduation and at an SNR of 15 db (PER =.5) for 16-QAM, which suggests that spatia diversity expoited through the STBC significanty aids the detection process in a channe with ow frequency seectivity such as the ETSI A channe. Additionay, in rich scattering environments, SCFDE GLOBECOM /3/$17. 3 IEEE
6 (a) SM (b) STBC Fig. 4. Throughput for systems in ETSI A channe (a) SM (b) STBC Fig. 5. Throughput for systems in ETSI E channe. efficienty expoits frequency diversity, which eads to better overa performance. This is ceary depicted in Figures 3(a) and 3(b), where the coded SM-SCFDE systems perform better than the uncoded STBC-SCFDE systems. B. Throughput Anaysis The throughput for each simuated system was cacuated as a function of the SNR from the foowing equation. 2mKR (N v) D(SNR) = (1 (SNR)) () NT s (K + Q)(1+µ) where m is the number of bits per symbo, R is the code rate, N is the tota number of bits in a packet prior to encoding, v is the number of tai bits in a packet, T s is the symbo period, Q is the number of symbos used for a cycic prefix in each bock, µ is equa to one if the system utiizes STBC and zero otherwise, and (γ) is the PER as a function of SNR. Figures 4 and 5 iustrate the effect the high fiter ro-off factor has on the singe-carrier systems. Indeed, the OFDM systems generay provide higher throughput than the SCFDE systems. It is interesting to note, however, that advantages can be gained through the use of a hybrid SCFDE-OFDM ink adaptive system, especiay for SM architectures. As shown in Figures 4(a) and 5(a), coded SCFDE systems provide the highest throughput at ow SNR for SM architectures. Furthermore, uncoded SCFDE systems empoying 16-QAM give the highest throughput at high SNR for SM systems in the ETSI A channe as iustrated in Figure 4(a). It is aso important to note that for mid-range SNR, the singecarrier STBC system is capabe of a higher throughput than the OFDM system in the ETSI E channe as iustrated in 5(b). GLOBECOM /3/$17. 3 IEEE
7 V. CONCLUSIONS In this study, severa different MIMO-SCFDE and MIMO- OFDM systems were compared in terms of PER and throughput. The resuts obtained in this investigation suggest that designing a MIMO-OFDM system to expoit frequency diversity through the use of a channe code and intereaving tends to give better performance than optimizing for spatia diversity through the use of STBC. Simiary, SM-SCFDE systems empoying inear MMSE equaization and a channe code perform reativey we in rich scattering environments; however, optimizing for spatia diversity via STBC can improve the performance of SCFDE systems in channes with ow frequency seectivity. Additionay, unike in the SISO case, MIMO-SCFDE generay performs better than MIMO- OFDM in terms of PER. It was aso shown that the throughput of MIMO-SCFDE systems wi inevitaby suffer from the tight constraints paced on the transmit and receive fiters uness bandwidth restrictions are reaxed. ACKNOWLEDGMENT The authors woud ike to thank Toshiba TRL Bristo for financiay supporting this work and are particuary gratefu for the insight provided by Dr. M. Sande, Dr. M. Yee, Dr. S. Parker, and Dr. Y. Sun. The authors are aso indebted to Dr. R. Piechocki for his participation in numerous technica discussions. REFERENCES [1] Z. Wang and G. B. Giannakis, Wireess muticarrier communications: where Fourier meets Shannon, IEEE Signa Processing Magazine, pp , May. [2] D. Faconer, S. L. Ariyavisitaku, A. Benyamin-Seeyar, and B. Eidson, Frequency domain equaization for singe-carrier broadband wireess systems, IEEE Communications Magazine, pp , Apri 2. [3] Broadband Radio Access Networks (BRAN); HIPERLAN Type 2; Physica (PHY) ayer, European Teecommunications Standards Institute,. [4] Suppement to IEEE standard for information technoogy - teecommunications and information exchange between systems - oca and metropoitan area networks - specific requirements. Part 11: wireess LAN Medium Access Contro (MAC) and Physica Layer (PHY), IEEE Std 82.11a, [5] R. van Nee and R. Prasad, OFDM for Wireess Mutimedia Communications, 1st ed. Boston: Artech House,. [6] S. M. Aamouti, A simpe transmit diversity technique for wireess communications, IEEE Journa on Seected Areas in Communications, vo. 16, no. 8, pp , October [7] J. P. Coon and M. A. Beach, An investigation of MIMO singecarrier frequency-domain MMSE equaization, London Communications Symposium, pp , 2. [8] N. A-Dhahir, Singe-carrier frequency-domain equaization for spacetime bock-coded transmissions over frequency-seective fading channes, IEEE Communications Letters, vo. 5, no. 7, pp. 4 6, Juy 1. [9] Channe Modes for HIPERLAN/2 in Different Indoor Scenarios, European Teecommunications Standards Institute, GLOBECOM /3/$17. 3 IEEE
Rate-Allocation Strategies for Closed-Loop MIMO-OFDM
Rate-Aocation Strategies for Cosed-Loop MIMO-OFDM Joon Hyun Sung and John R. Barry Schoo of Eectrica and Computer Engineering Georgia Institute of Technoogy, Atanta, Georgia 30332 0250, USA Emai: {jhsung,barry}@ece.gatech.edu
More informationCo-channel Interference Suppression Techniques for STBC OFDM System over Doubly Selective Channel
Co-channe Interference Suppression Techniques for STBC OFDM System over Douby Seective Channe Jyoti P. Patra Dept. of Eectronics and Communication Nationa Institute Of Technoogy Rourkea-769008, India E
More informationFREQUENCY-DOMAIN TURBO EQUALIZATION FOR SINGLE CARRIER MOBILE BROADBAND SYSTEMS. Liang Dong and Yao Zhao
FREQUENCY-DOMAIN TURBO EQUALIZATION FOR SINGLE CARRIER MOBILE BROADBAND SYSTEMS Liang Dong and Yao Zhao Department of Eectrica and Computer Engineering Western Michigan University Kaamazoo, MI 49008 ABSTRACT
More informationChannel Division Multiple Access Based on High UWB Channel Temporal Resolution
Channe Division Mutipe Access Based on High UWB Channe Tempora Resoution Rau L. de Lacerda Neto, Aawatif Menouni Hayar and Mérouane Debbah Institut Eurecom B.P. 93 694 Sophia-Antipois Cedex - France Emai:
More informationResource Allocation via Linear Programming for Multi-Source, Multi-Relay Wireless Networks
Resource Aocation via Linear Programming for Muti-Source, Muti-Reay Wireess Networs Nariman Farsad and Andrew W Ecford Dept of Computer Science and Engineering, Yor University 4700 Keee Street, Toronto,
More informationBER Performance Analysis of Cognitive Radio Physical Layer over Rayleigh fading Channel
Internationa Journa of Computer ppications (0975 8887) Voume 5 No.11, Juy 011 BER Performance naysis of Cognitive Radio Physica Layer over Rayeigh fading mandeep Kaur Virk Dr. B R mbedkar Nationa Institute
More informationPerformance of Single User vs. Multiuser Modulation in Wireless Multicarrier (MC) Communications
erformance of Singe User vs. Mutiuser Moduation in Wireess Muticarrier (MC) Communications Anwaru Azim, ecturer, East West University Bangadesh Abstract-- he main objective of this paper is to compare
More informationPROPORTIONAL FAIR SCHEDULING OF UPLINK SINGLE-CARRIER FDMA SYSTEMS
PROPORTIONAL FAIR SCHEDULING OF UPLINK SINGLE-CARRIER SYSTEMS Junsung Lim, Hyung G. Myung, Kyungjin Oh and David J. Goodman Dept. of Eectrica and Computer Engineering, Poytechnic University 5 Metrotech
More informationPerformance Measures of a UWB Multiple-Access System: DS/CDMA versus TH/PPM
Performance Measures of a UWB Mutipe-Access System: DS/CDMA versus TH/PPM Aravind Kaias and John A. Gubner Dept. of Eectrica Engineering University of Wisconsin-Madison Madison, WI 53706 akaias@wisc.edu,
More informationA Low Complexity VCS Method for PAPR Reduction in Multicarrier Code Division Multiple Access
0 JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA, VOL. 5, NO., JUNE 007 A Low Compexity VCS Method for PAPR Reduction in Muticarrier Code Division Mutipe Access Si-Si Liu, Yue iao, Qing-Song Wen,
More informationADAPTIVE ITERATION SCHEME OF TURBO CODE USING HYSTERESIS CONTROL
ADATIV ITRATION SCHM OF TURBO COD USING HYSTRSIS CONTROL Chih-Hao WU, Kenichi ITO, Yung-Liang HUANG, Takuro SATO Received October 9, 4 Turbo code, because of its remarkabe coding performance, wi be popuar
More informationEffect of Estimation Error on Adaptive L-MRC Receiver over Nakagami-m Fading Channels
Internationa Journa of Appied Engineering Research ISSN 973-456 Voume 3, Number 5 (8) pp. 77-83 Research India Pubications. http://www.ripubication.com Effect of Estimation Error on Adaptive -MRC Receiver
More informationTHE TRADEOFF BETWEEN DIVERSITY GAIN AND INTERFERENCE SUPPRESSION VIA BEAMFORMING IN
THE TRADEOFF BETWEEN DIVERSITY GAIN AND INTERFERENCE SUPPRESSION VIA BEAMFORMING IN A CDMA SYSTEM Yan Zhang, Laurence B. Mistein, and Pau H. Siege Department of ECE, University of Caifornia, San Diego
More informationEffect of Interfering Users on the Modulation Order and Code Rate for UWB Impulse-Radio Bit-Interleaved Coded M-ary PPM
Effect of Interfering Users on the Moduation Order and Code Rate for UWB Impuse-Radio Bit-Intereaved Coded M-ary PPM Ruben Merz and Jean-Yves Le Boudec EPFL, Schoo of Computer and Communication Sciences
More informationFast Hybrid DFT/DCT Architecture for OFDM in Cognitive Radio System
Fast Hybrid DF/D Architecture for OFDM in ognitive Radio System Zhu hen, Moon Ho Lee, Senior Member, EEE, hang Joo Kim 3 nstitute of nformation&ommunication, honbuk ationa University, Jeonju, 56-756,Korea
More informationSparse Channel Estimation Based on Compressed Sensing for Massive MIMO Systems
Sparse Channe Estimation Based on Compressed Sensing for Massive MIMO Systems Chenhao Qi, Yongming Huang, Shi Jin and Lenan Wu Schoo of Information Science and Engineering, Southeast University, Nanjing
More informationResource Allocation via Linear Programming for Fractional Cooperation
1 Resource Aocation via Linear Programming for Fractiona Cooperation Nariman Farsad and Andrew W Ecford Abstract In this etter, resource aocation is considered for arge muti-source, muti-reay networs empoying
More informationRateless Codes for the Gaussian Multiple Access Channel
Rateess Codes for the Gaussian Mutipe Access Channe Urs Niesen Emai: uniesen@mitedu Uri Erez Dept EE, Te Aviv University Te Aviv, Israe Emai: uri@engtauaci Devavrat Shah Emai: devavrat@mitedu Gregory W
More informationCHANNEL ESTIMATION USING EXTENDED KALMAN FILTER WITH SLICED MULTI MODULUS BLIND EQUALIZATION ALGORITHM (SMMA)
Journa of Theoretica and Appied nformation Technoogy 005-06 JATT & LLS. A rights reserved. SSN: 99-8645 www.jatit.org E-SSN: 87-395 CHANNEL ESTMATON USNG EXTENDED KALMAN FLTE WTH SLCED MULT MODULUS BLND
More informationBlock-Level Unitary Query: Incorporating Orthogonal-like Space-time Code with Query Diversity for MIMO Backscatter RFID
1 Bock-Leve Unitary Query: Incorporating Orthogona-ike Space-time Code with Query Diversity for MIMO Backscatter RFID Chen He, Member, IEEE, Z. Jane Wang, Senior Member, IEEE, and Victor C.M. Leung, Feow,
More informationFBMC/OQAM for the Asynchronous Multi-User MIMO Uplink
FBMC/OQAM for the Asynchronous Muti-User MIMO Upin Yao Cheng, Peng Li, and Martin Haardt Communications Research Laboratory, Imenau University of Technoogy P. O. Box 100565, D-98694 Imenau, Germany {y.cheng,
More informationAvailability Analysis for Elastic Optical Networks with Multi-path Virtual Concatenation Technique
Progress In Eectromagnetics Research Symposium Proceedings, Guangzhou, China, Aug. 25 28, 2014 849 Avaiabiity Anaysis for Eastic Optica Networks with Muti-path Virtua Concatenation Technique Xiaoing Wang
More informationSelf-Interference Canceller for Full-Duplex Radio Relay Station Using Virtual Coupling Wave Paths
Sef-Interference Canceer for Fu-Dupex Radio Reay Station Using Virtua Couping Wave Paths Kazunori Hayashi Yasuo Fujishima Megumi Kaneko Hideaki Sakai Riichi Kudo and Tomoki Murakami Graduate Schoo of Informatics,
More informationImproving the Active Power Filter Performance with a Prediction Based Reference Generation
Improving the Active Power Fiter Performance with a Prediction Based Reference Generation M. Routimo, M. Sao and H. Tuusa Abstract In this paper a current reference generation method for a votage source
More informationFOR energy limited data networks, e.g., sensor networks,
578 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO., DECEMBER 009 An Optima Power Aocation Scheme for the STC Hybrid ARQ over Energy Limited Networks Hongbo Liu, Member, IEEE, Leonid Razoumov,
More informationCommunication Systems
Communication Systems 1. A basic communication system consists of (1) receiver () information source (3) user of information (4) transmitter (5) channe Choose the correct sequence in which these are arranged
More informationJoint Optimal Power Allocation and Relay Selection with Spatial Diversity in Wireless Relay Networks
Proceedings of SDR'11-WInnComm-Europe, 22-24 Jun 2011 Joint Optima Power Aocation and Reay Seection with Spatia Diversity in Wireess Reay Networks Md Habibu Isam 1, Zbigniew Dziong 1, Kazem Sohraby 2,
More informationTop Down Design of Joint MODEM and CODEC Detection Schemes for DSRC Coded-FSK Systems over High Mobility Fading Channels
Top Down Design of Joint MODEM and CODEC Detection Schemes for DSRC Coded-FSK Systems over High Mobiity Fading Channes Juinn-Horng Deng, Feng-Chin Hsiao, and Yi-Hsin Lin Department of Communications Engineering
More informationChannel Estimation for SC-FDE Systems Using Frequency Domain Multiplexed Pilots
Channe Estimation for SC-FDE Systems Using Frequency Domain utipexed Piots Chan-Tong am, David D. Faconer and Forence Danio-emoine BCWS, Careton Univ., Canada K1S 5B6 Emai: {amc, ddf, fdanio@sce.careton.ca
More informationSecure Physical Layer Key Generation Schemes: Performance and Information Theoretic Limits
Secure Physica Layer Key Generation Schemes: Performance and Information Theoretic Limits Jon Waace Schoo of Engineering and Science Jacobs University Bremen, Campus Ring, 879 Bremen, Germany Phone: +9
More informationPAPER An Iterative MIMO Receiver Employing Virtual Channels with a Turbo Decoder for OFDM Wireless Systems
878 IEICE TRANS. COMMUN., VOL.E98 B, NO.5 MAY 015 PAPER An Iterative MIMO Receiver Empoying Virtua Channes with a Turbo Decoder for OFDM Wireess Systems Akihito TAYA, Member, Satoshi DENNO a), Koji YAMAMOTO,
More informationCross-layer queuing analysis on multihop relaying networks with adaptive modulation and coding K. Zheng 1 Y. Wang 1 L. Lei 2 W.
www.ietd.org Pubished in IET Communications Received on 18th June 2009 Revised on 30th Juy 2009 ISSN 1751-8628 Cross-ayer queuing anaysis on mutihop reaying networks with adaptive moduation and coding
More informationSatellite Link Layer Performance Using Two Copy SR-ARQ and Its Impact on TCP Traffic
Sateite Link Layer Performance Using Two Copy SR-ARQ and Its Impact on TCP Traffic Jing Zhu and Sumit Roy Department of Eectrica Engineering, University of Washington Box 352500, Seatte, WA 98195, USA
More informationTEMPORAL FAIRNESS ENHANCED SCHEDULING FOR COOPERATIVE RELAYING NETWORKS IN LOW MOBILITY FADING ENVIRONMENTS
TEMPORAL FAIRNESS ENHANCED SCHEDULING FOR COOPERATIVE RELAYING NETWORKS IN LOW MOBILITY FADING ENVIRONMENTS Ingmar Hammerström, Jian Zhao, and Armin Wittneben Swiss Federa Institute of Technoogy (ETH)
More informationarxiv: v1 [cs.it] 22 Jul 2014
MODULATION FORMATS AND WAVEFORMS FOR THE PHYSICAL LAYER OF 5G WIRELESS NETWORKS: WHO WILL BE THE HEIR OF OFDM? Paoo Banei, Stefano Buzzi, Giuio Coavope, Andrea Modenini, Fredrik Rusek, and Aessandro Ugoini
More informationPerformance Comparison of Cyclo-stationary Detectors with Matched Filter and Energy Detector M. SAI SINDHURI 1, S. SRI GOWRI 2
ISSN 319-8885 Vo.3,Issue.39 November-14, Pages:7859-7863 www.ijsetr.com Performance Comparison of Cyco-stationary Detectors with Matched Fiter and Energy Detector M. SAI SINDHURI 1, S. SRI GOWRI 1 PG Schoar,
More informationCopyright 2000 IEEE. IEEE Global Communications Conference (Globecom 2000), November 27 - December 1, 2000, San Francisco, California, USA
Copyright 2000 EEE. EEE Goba Communications Conference (Gobecom 2000), November 27 - December 1, 2000, San Francisco, Caifornia, USA Persona use of this materia is permitted. owever, permission to reprint/repubish
More informationIterative Transceiver Design for Opportunistic Interference Alignment in MIMO Interfering Multiple-Access Channels
Journa of Communications Vo. 0 No. February 0 Iterative Transceiver Design for Opportunistic Interference Aignment in MIMO Interfering Mutipe-Access Channes Weipeng Jiang ai Niu and Zhiqiang e Schoo of
More informationIterative Detection and Decoding with PIC Algorithm for MIMO-OFDM Systems
, 2009, 5, 351-356 doi:10.4236/ijcns.2009.25038 Published Online August 2009 (http://www.scirp.org/journal/ijcns/). Iterative Detection and Decoding with PIC Algorithm for MIMO-OFDM Systems Zhongpeng WANG
More informationHybrid Digital-to-Analog Beamforming for Millimeter-Wave Systems with High User Density
Hybrid Digita-to-Anaog Beamforming for Miimeter-Wave Systems with High User Density Manish Nair, Qasim Zeeshan Ahmed and Huiing Zhu Schoo of Engineering and Digita Arts, University of Kent, Canterbury,
More informationTHE EMERGING IEEE ad wireless local area
1 Suboptima Spatia Diversity Scheme for 60 Gz Miimeter-Wave WLAN Zhenyu Xiao, Member, IEEE arxiv:1511.02326v1 [cs.it] 7 Nov 2015 Abstract This etter revisits the equa-gain (EG) spatia diversity technique,
More informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version Link to published version (if available): /LSP.2004.
Coon, J., Beach, M. A., & McGeehan, J. P. (2004). Optimal training sequences channel estimation in cyclic-prefix-based single-carrier systems with transmit diversity. Signal Processing Letters, IEEE, 11(9),
More informationDistributed Antenna System for Mitigating Shadowing Effect in 60 GHz WLAN
Distributed Antenna System for Mitigating Shadowing Effect in 60 GHz WLAN Citation for pubished version (APA): Wang, Q., Debbarma, D., Lo, A., Cao, Z., Niemegeers, I., & Heemstra, S. (2015). Distributed
More informationPerformance Analysis of Non-Orthogonal Multiple Access under I/Q Imbalance
This artice has been accepted for pubication in a future issue of this journa, but has not been fuy edited. Content may change prior to fina pubication. Citation information: DOI 10.1109/ACCESS.2018.2820074,
More informationAdaptive Bit and Power Allocation for Rate and Margin Maximization in V-BLAST System
Revista Científica Periódica - Teecomunicações ISSN 56-338 Adaptive Bit and Power Aocation for Rate and argin aximization in V-BAST System Dror eiri and Irving Kaet Aeis Photonics, Netanya, Israe (emai:
More informationThe Optimal Employment of CSI in COFDM-Based Receivers
The Optimal Employment of CSI in COFDM-Based Receivers Akram J. Awad, Timothy O Farrell School of Electronic & Electrical Engineering, University of Leeds, UK eenajma@leeds.ac.uk Abstract: This paper investigates
More informationCAPACITY OF UNDERWATER WIRELESS COMMUNICATION CHANNEL WITH DIFFERENT ACOUSTIC PROPAGATION LOSS MODELS
CAPACITY OF UNDERWATER WIRELESS COMMUNICATION CHANNEL WITH DIFFERENT ACOUSTIC PROPAGATION LOSS MODELS Susan Joshy and A.V. Babu, Department of Eectronics & Communication Engineering, Nationa Institute
More informationEnhancing IEEE n WLANs using group-orthogonal code-division multiplex
Teecommun Syst (2008) 38: 37 44 DOI 101007/s11235-008-9089-x Enhancing IEEE 80211n WLANs using group-orthogona code-division mutipex Guiem Femenias Feip Riera-Paou Pubished onine: 18 March 2008 Springer
More informationWilliams, C., Nix, A. R., Beach, M. A., Prado, A., Doufexi, A., & Tameh, E. K. (2006). Capacity and coverage enhancements of MIMO WLANs in realistic.
Williams, C., Nix, A. R., Beach, M. A., Prado, A., Doufexi, A., & Tameh, E. K. (006). Capacity and coverage enhancements of MIMO WLANs in realistic. Peer reviewed version Link to publication record in
More informationSimulation Model for a Frequency-Selective Land Mobile Satellite Communication Channel
Vo 3, No., Simuation Mode for a Frequency-Seective Land Mobie Sateite Communication Channe Abstract Zachaeus K. Adeyemo, Oumide O. Ajayi *, Festus K. Ojo 3. Department of Eectronic and Eectrica Engineering,
More informationDealing with Link Blockage in mmwave Networks: D2D Relaying or Multi-beam Reflection?
Deaing with Lin Bocage in mmwave etwors: DD Reaying or Muti-beam Refection? Mingjie Feng, Shiwen Mao Dept. Eectrica & Computer Engineering Auburn University, Auburn, AL 36849-5, U.S.A. Tao Jiang Schoo
More informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /ICCE.2012.
Zhu, X., Doufexi, A., & Koçak, T. (2012). A performance enhancement for 60 GHz wireless indoor applications. In ICCE 2012, Las Vegas Institute of Electrical and Electronics Engineers (IEEE). DOI: 10.1109/ICCE.2012.6161865
More informationEfficient Downlink Channel Reconstruction for FDD Multi-Antenna Systems
1 Efficient Downink Channe Reconstruction for FDD Muti-Antenna Systems Yu Han, Tien-Hao Hsu, Chao-Kai Wen, Kai-Kit Wong, and Shi Jin Nationa Mobie Communications Research Laboratory, Southeast University,
More informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version
Tran, M., Doufexi, A., & Nix, AR. (8). Mobile WiMAX MIMO performance analysis: downlink and uplink. In IEEE Personal and Indoor Mobile Radio Conference 8 (PIMRC), Cannes (pp. - 5). Institute of Electrical
More informationA Compact Wide Bandpass Filter based on Substrate Integrated Waveguide (SIW) Structure
Journa of Communication Engineering, Vo. 4, No., Juy-December 5 3 A Compact Wide Bandpass Fiter based on Substrate Integrated Waveguide (SIW) Structure Mostafa Danaeian, Ai Ganji ashkezari, Kambiz Afrooz
More informationA Novel Method for Doppler and DOD- DOA Jointly Estimation Based on FRFT in Bistatic MIMO Radar System
7 Asia-Pacific Engineering and Technoogy Conference (APETC 7) ISBN: 978--6595-443- A Nove Method for Dopper and DOD- DOA Jointy Estimation Based on FRFT in Bistatic MIMO Radar System Derui Song, Li Li,
More informationWireless Communications
Wireess Communications Mutipe Access Hamid Bahrami Eectrica & Computer Engineering Communication System Bock Diagram Dupexing Dupexing: transmit and receive at the same time Exampe: teephone, how about
More informationCHANNEL ESTIMATION PERFORMANCE FOR ZERO-OVERHEAD CHANNEL ACCESS IN MOBILE SENSOR NETWORKS
CANNEL ESTIMATION PERFORMANCE FOR ZERO-OVEREAD CANNEL ACCESS IN MOBILE SENSOR NETWORKS John E. Keider, Ghassan Maaoui, Steve Gifford, and Scott Chuprun Genera Dynamics C4 Systems Scottsdae, AZ, 8557 Brian
More informationSuppression of ISI Caused by Sampling Time Offset in IFDMA Systems
Suppression of ISI Caused by Samping Time Offset in IFDA Systems Aexander Arkhipov, ichae Schne German Aerospace Center (DLR), Inst. of Communications and Navigation, D-82234, Wessing, Germany. Phone/e-mai:
More informationHybrid Digital-Analog Joint Source Channel Coding for Broadcast Multiresolution Communications
217 25th European Signa Processing Conference (EUSIPCO) Hybrid Digita-Anaog Joint Source Channe Coding for Broadcast Mutiresoution Communications O. Fresnedo, P. Suárez-Casa, L. Castedo Department of Eectronics
More informationCombined Spatial Multiplexing and STBC to Provide Throughput Enhancements to Next Generation WLANs
Combined Spatial Multiplexing and STBC to Provide Throughput Enhancements to Next Generation WLANs Angela Doufexi, Andrew Nix, Mark Beach Centre for Communications esearch, University of Bristol, Woodland
More information1860 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 66, NO. 2, FEBRUARY 2017
1860 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 66, NO. 2, FEBRUARY 2017 Correspondence Near-Optima Signa Detector Based on Structured Compressive Sensing for Massive SM-MIMO Zhen Gao, Lingong Dai,
More informationSpace-Time Focusing Transmission in Ultra-wideband Cooperative Relay Networks
ICUWB 2009 (September 9-11, 2009) 1 Space-Time Focusing Transmission in Utra-wideband Cooperative Reay Networks Yafei Tian and Chenyang Yang Schoo of Eectronics and Information Engineering, Beihang University
More informationJoint Spectrum Access and Pricing in Cognitive Radio Networks with Elastic Traffic
Joint Spectrum Access and Pricing in Cognitive Radio Networks with Eastic Traffic Joceyne Eias University of Bergamo E-mai: joceyne.eias@unibg.it Fabio Martignon University of Bergamo E-mai: fabio.martignon@unibg.it
More informationWireless Communications
Wireess Communications Ceuar Concept Hamid Bahrami Reference: Rappaport Chap3 Eectrica & Computer Engineering Statements of Probems Soving the probem of Spectra congestion System Capacity A system-eve
More informationA CPW-Fed Printed Monopole Ultra-Wideband Antenna with E-Shaped Notched Band Slot
Iraqi Journa of Appied Physics Emad S. Ahmed Department of Eectrica and Eectronic Engineering University of Technoogy, Baghdad, Iraq A CPW-Fed Printed Monopoe Utra-Wideband Antenna with E-Shaped Notched
More informationJoint Detection and CFO Compensation in Asynchronous Multi-User MIMO OFDM Systems
Joint Detection and CFO Compensation in Asynchronous Muti-User MIMO OFDM Systems Vincent Kotzsch, Jörg Hofed and Gerhard Fettweis Vodafone Chair Mobie Communications Systems, TU-Dresden, Germany Emai:
More informationCharacteristics of a Novel Slow-Wave Defected Ground Structure for Planar Wideband Filters
2011 Internationa Conference on Information and Eectronics Engineering IPCSIT vo.6 (2011) (2011) IACSIT Press, Singapore Characteristics of a Nove So-Wave Defected Ground Structure for Panar Wideband Fiters
More informationUtility-Proportional Fairness in Wireless Networks
IEEE rd Internationa Symposium on Persona, Indoor and Mobie Radio Communications - (PIMRC) Utiity-Proportiona Fairness in Wireess Networks G. Tychogiorgos, A. Gkeias and K. K. Leung Eectrica and Eectronic
More informationEstimation and Control of Lateral Displacement of Electric Vehicle Using WPT Information
Estimation and Contro of Latera Dispacement of Eectric Vehice Using WPT Information Pakorn Sukprasert Binh Minh Nguyen Hiroshi Fujimoto Department of Eectrica Engineering and Information Systems, The University
More informationBest Relay Selection Using SNR and Interference Quotient for Underlay Cognitive Networks
IEEE ICC 1 - Wireess Communications Symposium Best Reay Seection Using SNR and Interference Quotient for Underay Cognitive Networks Syed Imtiaz Hussain 1, Mohamed M. Abdaah 1, Mohamed-Sim Aouini 1,, Mazen
More informationPerformance Analysis of n Wireless LAN Physical Layer
120 1 Performance Analysis of 802.11n Wireless LAN Physical Layer Amr M. Otefa, Namat M. ElBoghdadly, and Essam A. Sourour Abstract In the last few years, we have seen an explosive growth of wireless LAN
More informationB.Sathish Kumar 1, K.R.Shankar Kumar 2 1,2
A ove Approach of Linear Parae nterference Canceation in Upin OFDMA Systems with Carrier Freuency Offsets B.Sathish umar 1,.R.Shanar umar 1, Department of Eectronics Communication Engineering Sri Ramarishna
More informationTite Anaysis and Compensation of Transm OFDMA and SC-FDMA Systems Author(s Yoshida, Yuki; Hayashi, Kazunori; S Wadimir Citation IEEE Transactions on Signa 3129 Process Issue Date 2009-08 URL http://hd.hande.net/2433/204387
More informationTransmit-Diversity-Assisted Space-Shift Keying for Colocated and Distributed/Cooperative MIMO Elements
2864 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL 60, NO 6, JULY 2011 Transmit-Diversity-Assisted Space-Shift Keying for Coocated and Distributed/Cooperative MIMO Eements Du Yang, Chao Xu, Student Member,
More informationOrthogonal Multicode Channelization Applied to Subsampling Digital UWB Receiver
Orthogona Muticode Channeization Appied to Subsamping Digita UWB Receiver Yves Vanderperren, Geert Leus, Wim Dehaene EE Dept. ESAT-MICAS), Kathoieke Universiteit Leuven, Begium Facuty of EE, Mathematics
More informationOn the optimality of the null subcarrier placement for blind carrier offset estimation in OFDM systems Wu, Y.; Attallah, S.; Bergmans, J.W.M.
On the optimaity of the nu subcarrier pacement for bind carrier offset estimation in OFDM systems Wu, Y.; Attaah, S.; Bergmans, J.W.M. Pubished in: IEEE Transactions on Vehicuar Technoogy DOI: 0.09/TVT.2008.2005574
More informationA capacity-approaching coded modulation scheme for non-coherent fading channels
Louisiana State University LSU Digita Commons LSU Master's Theses Graduate Schoo 008 A capacity-approaching coded moduation scheme for non-coherent fading channes Youngjeon Cho Louisiana State University
More informationA Distributed Utility Max-Min Flow Control Algorithm
A Distributed tiity Max-Min Fow Contro Agorithm Hyang-Won Lee and Song Chong Department of Eectrica Engineering and Computer Science Korea Advanced Institute of Science and Technoogy (KAIST) mshw@netsys.kaist.ac.kr,
More informationAnalyzing Uplink SINR and Rate in Massive. MIMO Systems Using Stochastic Geometry
Anayzing Upink SINR and Rate in Massive MIMO Systems Using Stochastic Geometry Tianyang Bai and Robert W. Heath, Jr. arxiv:5.2538v2 [cs.it] 2 Apr 26 Abstract This paper proposes a stochastic geometry framework
More informationPower Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks
roceedings of the 46th IEEE Conference on Decision and Contro New Oreans, LA, USA, Dec. 12-14, 27 FrB2.5 ower Contro and Transmission Scheduing for Network Utiity Maximization in Wireess Networks Min Cao,
More informationCOMPARATIVE ANALYSIS OF ULTRA WIDEBAND (UWB) IEEE A CHANNEL MODELS FOR nlos PROPAGATION ENVIRONMENTS
COMPARATIVE ANALYSIS OF ULTRA WIDEBAND (UWB) IEEE80.15.3A CHANNEL MODELS FOR nlos PROPAGATION ENVIRONMENTS Ms. Jina H. She PG Student C.C.E.T, Wadhwan, Gujarat, Jina_hshet@yahoo.com Dr. K. H. Wandra Director
More informationAalborg Universitet On Radiated Performance Evaluation of Massive MIMO Devices in Multi-Probe Anechoic Chamber OTA Setups General rights
Aaborg Universitet On Radiated Performance Evauation of Massive MIMO Devices in Muti-Probe Anechoic Chamber OTA Setups Kyösti, Pekka; Hentiä, Lassi; Fan, Wei; Lehtomaki, Janne; Latva-aho, Matti Pubished
More informationURL: <http://dx.doi.org/ /sopo >
Citation: Tang Xuan Rajbhandari Sujan Popooa Wasiu Oyewoe Ghassemooy Zabih Muhammad Sajid Sheikh Leitgeb Erich and Kandus Gorazd (1) Performance of BPSK subcarrier intensity moduation free-space optica
More informationMultiuser Detection for Out-of-Cell Cochannel Interference Mitigation in the IS 95 Downlink
1 Mutiuser Detection for Out-of-Ce Cochanne Interference Mitigation in the IS 95 Downink D. Richard Brown III, H. Vincent Poor, Sergio Verdú, and C. Richard Johnson, Jr. This research was supported in
More informationOpenStax-CNX module: m Inductance. OpenStax College. Abstract
OpenStax-CNX modue: m42420 1 Inductance OpenStax Coege This work is produced by OpenStax-CNX and icensed under the Creative Commons Attribution License 3.0 Cacuate the inductance of an inductor. Cacuate
More informationPower Spectrum Optimization for Interference Mitigation via Iterative Function Evaluation
Power Spectrum Optimization for Interference Mitigation via Iterative Function Evauation Hayssam Dahrouj, Wei Yu, Taiwen Tang, and Steve Beaudin Eectrica and Computer Engineering Dept., University of Toronto,
More informationIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 2, FEBRUARY Cooperative Relaying in Multi-Antenna Fixed Relay Networks
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 2, FEBRUARY 27 533 Cooperative Reaying in Muti-Antenna Fixed Reay Networks Abdukareem Adinoyi and Haim Yanikomerogu Abstract Space, cost, and signa
More informationEffect of Carrier Frequency Offset on Channel Capacity in Multi User OFDM-FDMA Systems
Effect of Carrier Frequency Offset on Channe Capacity in Muti User OFDM-FDMA Systems Martin Stemick and Hermann Rohing Abstract Orthogona Frequency Diision Mutipexing (OFDM is a ery robust transmission
More informationCascade-Net: a New Deep Learning Architecture for OFDM Detection
: a New Deep Learning Architecture for OFDM Detection Qisheng Huang 1, Chunming Zhao 1, Ming Jiang 1, Xiaoming Li 1, Jing Liang 1 Nationa Mobie Communications Research Lab., Southeast University, Nanjing
More informationGeorgia Institute of Technology. simulating the performance of a 32-bit interconnect bus. referenced to non-ideal planes. A transient simulation
Power ntegrity/signa ntegrity Co-Simuation for Fast Design Cosure Krishna Srinivasan1, Rohan Mandrekar2, Ege Engin3 and Madhavan Swaminathan4 Georgia nstitute of Technoogy 85 5th St NW, Atanta GA 30308
More informationWIRELESS LANS ABSTRACT INTRODUCTION
WIREESS AS CO-CHAE ITERFERECE CACEATIO BASED O MIMO SYSTEMS UCA GIAGASPERO AD UIGI AGAROSSI, PHIIPS RESEARCH MOZA GIOVAI PATEGHI, CEFRIE SHUTAI OKAMURA, OSAKA UIVERSITY MIORU OKADA, ISTITUTE OF SCIECE
More informationSparse Beamforming Design for Network MIMO System with Per-Base-Station Backhaul Constraints
Sparse Beamforming Design for Networ MIMO System with Per-Base-Station Bachau Constraints Binbin Dai and Wei Yu Department of Eectrica and Computer Engineering University of Toronto, Toronto, Ontario M5S
More informationInformation Theoretic Radar Waveform Design for Multiple Targets
1 Information Theoretic Radar Waveform Design for Mutipe Targets Amir Leshem and Arye Nehorai Abstract In this paper we use information theoretic approach to design radar waveforms suitabe for simutaneousy
More informationAn Optimization Framework for XOR-Assisted Cooperative Relaying in Cellular Networks
n Optimization Framework for XOR-ssisted Cooperative Reaying in Ceuar Networks Hong Xu, Student Member, IEEE, Baochun Li, Senior Member, IEEE bstract This work seeks to address two questions in cooperative
More informationOn the Relationship Between Queuing Delay and Spatial Degrees of Freedom in a MIMO Multiple Access Channel
On the Reationship Between Queuing Deay and Spatia Degrees of Freedom in a IO utipe Access Channe Sriram N. Kizhakkemadam, Dinesh Rajan, andyam Srinath Dept. of Eectrica Engineering Southern ethodist University
More informationDetection of Single vs Multiple Antenna Transmission Systems Using Pilot Data
Detection of Singe vs Mutipe Antenna Transmission Systems Using Piot Data Thakshia Wimaaeewa Member, IEEE, Pramod K. Varshney Feow, IEEE and Wei Su Feow, IEEE arxiv:6.3v [cs.it] 9 Aug 6 Abstract In this
More informationEE359 Lecture 12 Outline
EE359 Lecture 12 Outine Announcements Midterm announcements No HW next week (practice MTs) HW5 posted, due Monday 4pm (no ate HWs) Transmit Diversity Midterm Review Introduction to adaptive moduation Variabe-rate
More informationTheoretical Analysis of Power Saving in Cognitive Radio with Arbitrary Inputs
Theoretica Anaysis of Power Saving in Cognitive Radio with Arbitrary Inputs Ahmed Sohai, Mohammed A-Imari, Pei Xiao, and Barry G. Evans Abstract In Orthogona Frequency Division Mutipexing (OFDM based cognitive
More informationDual Relay Selection for Cooperative NOMA with Distributed Space Time Coding
This artice has been accepted for pubication in a future issue of this journa, but has not been fuy edited. Content may change prior to fina pubication. Citation information: DOI.9/ACCESS.8.846, IEEE Access
More information