Capacity of MIMO Rician fading channels with transmitter and receiver channel state information

This paper investigates the capacity of multiple- input multiple-output (MIMO) wireless communication systems when instantaneous channel state information (CSI) is available at both the transmitter and the receiver in a line-of-sight Rician fading environment. Specifically, an infinite series representation for the ergodic capacity of MIMO channels subject to uncorrected Rician fading (URiF) is derived, assuming both transmitter and receiver CSI. The ergodic capacity and its associated outage probability are expressed as a function of a cutoff value capturing the optimal power allocation scheme. Moreover, an equation for evaluating the cutoff value using standard numerical search techniques is derived, along with closed-form expressions for the capacity of the URiF MIMO channel when the so-called eigen-mode channel inversion technique and its truncated variant are implemented. We then provide numerical results showing the effects of Ricianness on the capacity of the eigen-mode optimal power and rate adaptation, and the sub-optimal channel inversion techniques and compare the achievable spectral efficiencies with and without channel knowledge at the transmitter thereby highlighting the capacity gains enabled by channel side information in a Rician fading environment.

[1]  Upamanyu Madhow,et al.  Space-Time transmit precoding with imperfect feedback , 2001, IEEE Trans. Inf. Theory.

[2]  Ranjan K. Mallik,et al.  Channel capacity of adaptive transmission with maximal ratio combining in correlated Rayleigh fading , 2004, IEEE Transactions on Wireless Communications.

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

[4]  Josef A. Nossek,et al.  Fading correlations in wireless MIMO communication systems , 2003, IEEE J. Sel. Areas Commun..

[5]  S. Verdu,et al.  MIMO capacity with channel state information at the transmitter , 2004, Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738).

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

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

[8]  Matthew R. McKay,et al.  MIMO multichannel beamforming: SER and outage using new eigenvalue distributions of complex noncentral Wishart matrices , 2006, IEEE Transactions on Communications.

[9]  S. Aissa,et al.  Capacity of space-time block codes in MIMO Rayleigh fading channels with adaptive transmission and estimation errors , 2005, IEEE Transactions on Wireless Communications.

[10]  Gerhard Wunder,et al.  Inverse eigenvalue statistics for Rayleigh and Rician MIMO channels , 2001 .

[11]  S. Verdú,et al.  Mutual Information and Eigenvalue Distribution of MIMO Ricean Channels , 2004 .

[12]  Marvin K. Simon,et al.  The Nuttall Q function - its relation to the Marcum Q function and its application in digital communication performance evaluation , 2002, IEEE Trans. Commun..

[13]  Pravin Varaiya,et al.  Capacity of fading channels with channel side information , 1997, IEEE Trans. Inf. Theory.

[14]  George S. Tombras,et al.  Average Channel Capacity in a Mobile Radio Environment with Rician Statistics (Special Issue on Personal, Indoor and Mobile Radio Communications) , 1994 .

[15]  George M. Dillard,et al.  Recursive Computation of the Generalized Q Function , 1973, IEEE Transactions on Aerospace and Electronic Systems.

[16]  D. Gesbert Multipath: curse or blessing? A system performance analysis of MIMO wireless systems , 2004, International Zurich Seminar on Communications, 2004.

[17]  Matthew R. McKay,et al.  Capacity bounds for correlated Rician MIMO channels , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[18]  Andrea J. Goldsmith,et al.  Transmitter optimization and optimality of beamforming for multiple antenna systems , 2004, IEEE Transactions on Wireless Communications.

[19]  Albert H. Nuttall,et al.  Some integrals involving the QM function (Corresp.) , 1975, IEEE Trans. Inf. Theory.

[20]  E. Biglieri,et al.  Limiting performance of block-fading channels with multiple antennas , 1999, Proceedings of the 1999 IEEE Information Theory and Communications Workshop (Cat. No. 99EX253).

[21]  Andrea J. Goldsmith,et al.  Capacity limits of MIMO channels , 2003, IEEE J. Sel. Areas Commun..

[22]  Jinghu Chen,et al.  Correlated MIMO Rayleigh fading systems with transmit channel state information , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[23]  Sudharman K. Jayaweera,et al.  Capacity of MIMO Systems in Rayleigh Fading with Sub-Optimal Adaptive Transmission Schemes , 2004 .

[24]  Angel Lozano,et al.  Space-Time Wireless Systems: Multiantenna capacity: myths and realities , 2006 .

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

[26]  H. Vincent Poor,et al.  On the capacity of multiple-antenna systems in Rician fading , 2005, IEEE Transactions on Wireless Communications.

[27]  Jay Cheng,et al.  Capacity of a class of fading channels with channel state information (CSI) feedback , 2001 .

[28]  A. Nuttall Some Integrals Involving the (Q sub M)-Function , 1974 .

[29]  Sonia Aïssa,et al.  On the achievable spectral efficiency of adaptive transmission with transmit-beamforming , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[30]  Aydin Sezgin,et al.  Delay-limited capacity and maximum throughput of spatially correlated multiple antenna systems under average and peak-power constraints , 2004, Information Theory Workshop.

[31]  H. Vincent Poor,et al.  Capacity of multiple-antenna systems with both receiver and transmitter channel state information , 2003, IEEE Trans. Inf. Theory.

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

[33]  Holger Boche,et al.  Channel capacity and capacity-range of beamforming in MIMO wireless systems under correlated fading with covariance feedback , 2004, IEEE Transactions on Wireless Communications.

[34]  Mohamed-Slim Alouini,et al.  Capacity of MIMO Rician channels , 2006, IEEE Transactions on Wireless Communications.

[35]  Sonia Aïssa,et al.  On the Capacity Statistics of MIMO Ricean and Rayleigh Fading Channels , 2006, 2006 IEEE International Conference on Communications.

[36]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[37]  Peter F. Driessen,et al.  On the capacity formula for multiple input-multiple output wireless channels: a geometric interpretationd , 1999, IEEE Trans. Commun..

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

[39]  A. Goldsmith,et al.  Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques , 1999, IEEE Transactions on Vehicular Technology.

[40]  G.E. Oien,et al.  Modeling and analysis of a 40 GHz MIMO system for fixed wireless access , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[41]  Chen-Nee Chuah,et al.  Capacity scaling in MIMO Wireless systems under correlated fading , 2002, IEEE Trans. Inf. Theory.

[42]  William C. Lindsey Error probabilities for Rician fading multichannel reception of binary and n -ary signals , 1964, IEEE Trans. Inf. Theory.

[43]  Alex J. Grant,et al.  Optimal Transmit Covariance for Ergodic MIMO Channels , 2005, ArXiv.