Cross-Layer Design for Multiuser MIMO MRC Systems With Feedback Constraints

Cross-layer techniques represent efficient means to enhance throughput and increase the transmission reliability of wireless communication systems. In this paper, a cross-layer design of aggressive adaptive modulation and coding (A-AMC), truncated automatic repeat request (T-ARQ), and user scheduling is proposed for multiuser multiple-input-multiple-output (MIMO) maximal ratio combining (MRC) systems, where the impacts of feedback delay (FD) and limited feedback (LF) on channel state information (CSI) are also considered. The A-AMC and T-ARQ mechanism selects the appropriate modulation and coding schemes (MCSs) to achieve higher spectral efficiency while satisfying the service requirement on the packet loss rate (PLR), profiting from the feasibility of using different MCSs to retransmit a packet, which is destined to a scheduled user selected to exploit multiuser diversity and enhance the system's performance in terms of both transmission efficiency and fairness. The system's performance is evaluated in terms of the average PLR, average spectral efficiency (ASE), outage probability, and average packet delay, which are derived in closed form, considering transmissions over Rayleigh-fading channels. Numerical results and comparisons are provided and show that A-AMC combined with T-ARQ yields higher spectral efficiency than the conventional scheme based on adaptive modulation and coding (AMC), while keeping the achieved PLR closer to the system's requirement and reducing delay. Furthermore, the effects of the number of ARQ retransmissions, numbers of transmit and receive antennas, normalized FD, and cardinality of the beamforming weight vector codebook are studied and discussed.

[1]  David James Love,et al.  On the performance of random vector quantization limited feedback beamforming in a MISO system , 2007, IEEE Transactions on Wireless Communications.

[2]  Kjell Jørgen Hole,et al.  Impact of channel prediction on adaptive coded modulation performance in Rayleigh fading , 2004, IEEE Transactions on Vehicular Technology.

[3]  Sonia Aïssa,et al.  Closed-form expressions for the outage and ergodic Shannon capacity of MIMO MRC systems , 2005, IEEE Transactions on Communications.

[4]  G.E. Oien,et al.  Adaptive coded modulation with receive antenna diversity and imperfect channel knowledge at receiver and transmitter , 2006, IEEE Transactions on Vehicular Technology.

[5]  Elza Erkip,et al.  On beamforming with finite rate feedback in multiple-antenna systems , 2003, IEEE Trans. Inf. Theory.

[6]  Kwang Soon Kim,et al.  Adaptive modulation and coding on multipath Rayleigh fading channels based on channel prediction , 2006, 2006 8th International Conference Advanced Communication Technology.

[7]  Guillem Femenias,et al.  SR ARQ for adaptive modulation systems combined with selection transmit diversity , 2005, IEEE Transactions on Communications.

[8]  Georgios B. Giannakis,et al.  How accurate channel prediction needs to be for transmit-beamforming with adaptive modulation over Rayleigh MIMO channels? , 2004, IEEE Transactions on Wireless Communications.

[9]  Ghassane Aniba,et al.  Adaptive scheduling for MIMO wireless networks: cross-layer approach and application to HSDPA , 2007, IEEE Transactions on Wireless Communications.

[10]  Sonia Aïssa,et al.  Generalized Performance Analysis of Adaptive PSAM-Based Transmit-Beamforming for Wireless MIMO systems , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[11]  Xiaodong Wang,et al.  Downlink scheduling schemes in cellular packet data systems of multiple-input multiple-output antennas , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[12]  C. Tepedelenlioglu,et al.  Comparison of adaptive beamforming and adaptive OSTBC with outdated channel feedback , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[13]  Sonia Aïssa,et al.  Cross-Layer Design of Enhanced AMC with Truncated ARQ Protocols , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[14]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[15]  Andrea J. Goldsmith,et al.  Degrees of freedom in adaptive modulation: a unified view , 2001, IEEE Trans. Commun..

[16]  Ranjan K. Mallik,et al.  Analysis of transmit-receive diversity in Rayleigh fading , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[17]  Georgios B. Giannakis,et al.  Adaptive PSAM accounting for channel estimation and prediction errors , 2005, IEEE Transactions on Wireless Communications.

[18]  Mohamed-Slim Alouini,et al.  Largest eigenvalue of complex Wishart matrices and performance analysis of MIMO MRC systems , 2003, IEEE J. Sel. Areas Commun..

[19]  David James Love,et al.  Feedback rate-capacity loss tradeoff for limited feedback MIMO systems , 2006, IEEE Transactions on Information Theory.

[20]  Georgios B. Giannakis,et al.  Cross-Layer combining of adaptive Modulation and coding with truncated ARQ over wireless links , 2004, IEEE Transactions on Wireless Communications.

[21]  Xin Wang,et al.  Analyzing and Optimizing Adaptive Modulation-Coding Jointly with ARQ for QoS-Guaranteed Traffic , 2007, 2006 IEEE International Conference on Communications.

[22]  Huaiyu Dai,et al.  Asymptotic Analysis on Spatial Diversity versus Multiuser Diversity in Wireless Networks , 2006, 2006 IEEE International Conference on Communications.

[23]  Andrea J. Goldsmith,et al.  Adaptive Modulation for MIMO Beamforming under Average BER Constraints and Imperfect CSI , 2006, 2006 IEEE International Conference on Communications.

[24]  G.B. Giannakis,et al.  Quantifying the power loss when transmit beamforming relies on finite-rate feedback , 2005, IEEE Transactions on Wireless Communications.

[25]  Chiung-Jang Chen,et al.  A unified capacity analysis for wireless systems with joint multiuser scheduling and antenna diversity in Nakagami fading channels , 2006, IEEE Transactions on Communications.

[26]  Cyril Leung,et al.  An overview of scheduling algorithms in wireless multimedia networks , 2002, IEEE Wirel. Commun..

[27]  S. Aissa,et al.  Cross-layer design for MIMO Nakagami fading channels in the presence of Gaussian channel estimation errors , 2005, Canadian Conference on Electrical and Computer Engineering, 2005..

[28]  Torbjörn Ekman,et al.  Adaptive Modulation Systems for Predicted Wireless Channels , 2004, IEEE Trans. Commun..

[29]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE Trans. Inf. Theory.

[30]  Qian Ma,et al.  Practical multiuser diversity with outdated channel feedback , 2005, IEEE Transactions on Vehicular Technology.