Enhancing coverage and capacity for multiuser MIMO systems by utilizing scheduling

Recent studies have revealed that the remarkable capacity improvement resulting from an open-loop multiple-input-multiple-output (MIMO) spatial multiplexing system may come at the sacrifice of degrading link reliability. This tradeoff between antenna multiplexing gain against antenna diversity gain may translate into smaller coverage areas. In this paper, we suggest using the multiuser diversity to replenish the diversity-deficient spatial multiplexing MIMO system. Specifically, we propose a fair scheduling scheme, called the strongest-weakest-normalized-subchannel-first (SWNSF) scheduling, which requires only limited amount of feedback. Our analysis and results indicate that the SWNSF scheduling can significantly increase the coverage of the multiuser MIMO system while further improving the system capacity.

[1]  R. Michael Buehrer,et al.  The impact of multiuser diversity on space-time block coding , 2003, IEEE Communications Letters.

[2]  Gordon L. Stüber.  Principles of mobile communication , 1996 .

[3]  Larry J. Greenstein,et al.  Some results and insights on the performance gains of MIMO systems , 2003, IEEE J. Sel. Areas Commun..

[4]  Rick S. Blum,et al.  Multiuser diversity for a dirty paper approach , 2003, IEEE Communications Letters.

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

[6]  William H. Press,et al.  Numerical recipes , 1990 .

[7]  Babak Hassibi,et al.  On the capacity of MIMO broadcast channels with partial side information , 2005, IEEE Transactions on Information Theory.

[8]  Vincent K. N. Lau,et al.  The role of transmit diversity on wireless communications-reverse link analysis with partial feedback , 2002, IEEE Trans. Commun..

[9]  Vi︠a︡cheslav Leonidovich Girko,et al.  Theory of random determinants , 1990 .

[10]  Leonard E. Miller,et al.  NASA systems engineering handbook , 1995 .

[11]  Andrea J. Goldsmith,et al.  Dirty-paper coding versus TDMA for MIMO Broadcast channels , 2005, IEEE Transactions on Information Theory.

[12]  Hyundong Shin,et al.  Capacity of multiple-antenna fading channels: spatial fading correlation, double scattering, and keyhole , 2003, IEEE Trans. Inf. Theory.

[13]  Harish Viswanathan,et al.  Downlink capacity evaluation of cellular networks with known-interference cancellation , 2003, IEEE J. Sel. Areas Commun..

[14]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[15]  A.J. Paulraj,et al.  Multiuser diversity for MIMO wireless systems with linear receivers , 2001, Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256).

[16]  Helmut Bölcskei,et al.  An overview of MIMO communications - a key to gigabit wireless , 2004, Proceedings of the IEEE.

[17]  M. Abramowitz,et al.  Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55) , 1965 .

[18]  Babak Hassibi,et al.  A Comparison of Time-Sharing, DPC, and Beamforming for MIMO Broadcast Channels With Many Users , 2007, IEEE Transactions on Communications.

[19]  A. Jalali,et al.  Data throughput of CDMA-HDR a high efficiency-high data rate personal communication wireless system , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[20]  Niranjan Joshi,et al.  On transmit diversity and scheduling in wireless packet data , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[21]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[22]  Milton Abramowitz,et al.  Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables , 1964 .

[23]  Hui Liu,et al.  Performance of space-division multiple-access (SDMA) with scheduling , 2002, IEEE Trans. Wirel. Commun..

[24]  Lizhong Zheng,et al.  Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.

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

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

[27]  Philip A. Whiting,et al.  The use of diversity antennas in high-speed wireless systems: capacity gains, fairness issues, multi-user scheduling , 2001 .

[28]  A. James.  Distributions of Matrix Variates and Latent Roots Derived from Normal Samples , 1964 .

[29]  A. Edelman.  Eigenvalues and condition numbers of random matrices , 1988 .

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

[31]  E. Zehavi,et al.  Soft handoff extends CDMA cell coverage and increases reverse link capacity , 1994, IEEE J. Sel. Areas Commun..

[32]  Kiho Kim,et al.  A random beamforming technique in MIMO systems exploiting multiuser diversity , 2003, IEEE J. Sel. Areas Commun..

[33]  Thomas L. Marzetta,et al.  Multiple-antenna channel hardening and its implications for rate feedback and scheduling , 2004, IEEE Transactions on Information Theory.

[34]  Angel E. Lozano,et al.  Spectral efficiency of FDMA/TDMA wireless systems with transmit and receive antenna arrays , 2002, IEEE Trans. Wirel. Commun..

[35]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[36]  Vincent K. N. Lau,et al.  Performance analysis of SIMO space-time scheduling with convex utility function: zero-forcing linear processing , 2004, IEEE Transactions on Vehicular Technology.

[37]  I. M. Pyshik,et al.  Table of integrals, series, and products , 1965 .

[38]  Paul G. Hoel,et al.  Introduction to Probability Theory , 1972 .