Analysis of the performance of multiuser MIMO systems with user scheduling over Nakagami-mm fading channels

A performance analysis of user scheduling schemes for multiuser MIMO systems exploiting the multiuser and antenna diversities over Nakagami-m fading channels is presented. We consider different scheduling schemes including absolute SNR-based scheduling, and normalized SNR-based scheduling schemes for both heterogeneous and homogeneous wireless networks. We derive closed-form expressions for the average spectral efficiency, average bit error rate (BER), and outage probability of the system under study for each scheduling scheme. Using the results obtained from the closed-form analytical expressions, we compare the presented schemes and show their significant advantages.

[1]  Raymond Knopp,et al.  Information capacity and power control in single-cell multiuser communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[2]  Hyundong Shin,et al.  Performance analysis of space-time block codes over keyhole Nakagami-m fading channels , 2004, IEEE Transactions on Vehicular Technology.

[3]  Mohamed-Slim Alouini,et al.  Performance analysis of multiuser selection diversity , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[4]  Vijay K. Bhargava,et al.  Optimal Packet Scheduling using Adaptive M-QAM and Orthogonal STBC in MIMO Nakagami-m Fading Channels , 2006, 2006 IEEE International Conference on Communications.

[5]  Wessam Ajib,et al.  An overview of scheduling algorithms in MIMO-based fourth-generation wireless systems , 2005, IEEE Network.

[6]  Naresh Sharma,et al.  A study of opportunism for multiple-antenna systems , 2005, IEEE Transactions on Information Theory.

[7]  A. Goldsmith,et al.  Variable-rate variable-power MQAM for fading channels , 1996, Proceedings of Vehicular Technology Conference - VTC.

[8]  W. Ajib,et al.  User Scheduling in Non-Identically Distributed Nakagami-m MIMO Fading Channels , 2008, 2008 International Wireless Communications and Mobile Computing Conference.

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

[10]  R. Elliott A measure of fairness of service for scheduling algorithms in multiuser systems , 2002, IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No.02CH37373).

[11]  Mohamed-Slim Alouini,et al.  Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis , 2000 .

[12]  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.

[13]  R. Michael Buehrer,et al.  Antenna diversity in multiuser data networks , 2004, IEEE Transactions on Communications.

[14]  David Tse,et al.  Opportunistic beamforming using dumb antennas , 2002, IEEE Trans. Inf. Theory.

[15]  Lajos Hanzo,et al.  Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalized and Space-Time Coded TDMA, CDMA and OFDM Systems , 2002 .

[16]  Mohamed-Slim Alouini,et al.  Adaptive Modulation over Nakagami Fading Channels , 2000, Wirel. Pers. Commun..

[17]  Vijay K. Bhargava,et al.  Optimal packet scheduling over correlated Nakagami-m channels with different diversity-combining techniques , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

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

[19]  Herbert A. David,et al.  Order Statistics, Third Edition , 2003, Wiley Series in Probability and Statistics.

[20]  M. Nakagami The m-Distribution—A General Formula of Intensity Distribution of Rapid Fading , 1960 .

[21]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.