Error exponents for Rayleigh fading product MIMO channels

Along with the channel capacity, the error exponent is one of the most important information theoretic measures of reliability, as it sets ultimate bounds on the performance of communication systems employing codes of finite complexity. In this paper, we derive the closed-form expressions for the Gallager's random coding and expurgated error exponents for Rayleigh fading product multiple-input multiple-output (MIMO) channels under the assumption that there is no channel-state information (CSI) at the transmitter and perfect CSI at the receiver. From the derived analytical expressions, we get insight into an elementary tradeoff between the communication reliability and information rate for the Rayleigh fading product MIMO channels. Moreover, we can easily compute the necessary codeword length without the extensive Monte-carlo simulation to achieve predefined error probability at a given rate below the channel capacity. In addition, we derive the exact closed-form expressions for the ergodic capacity and cutoff rate based on easily computable Meijer G-function. The closed-form expressions for the error exponents, ergodic capacity and cutoff rate have also been derived for Rayleigh fading keyhole MIMO channels as the example of special case.

[1]  C. Shannon Probability of error for optimal codes in a Gaussian channel , 1959 .

[2]  D. A. Bell,et al.  Information Theory and Reliable Communication , 1969 .

[3]  S. Shamai,et al.  Error probabilities for the block-fading Gaussian channel , 1995 .

[4]  Hyundong Shin,et al.  Random Coding Exponent for MIMO Channels , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[5]  Shlomo Shamai,et al.  Error Exponents And Outage Probabilities For The Block-Fading Gaussian Channel , 1991, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications..

[6]  Caijun Zhong,et al.  Ergodic Capacity Analysis of Amplify-and-Forward MIMO Dual-Hop Systems , 2008, IEEE Transactions on Information Theory.

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

[8]  Helmut Bölcskei,et al.  Outdoor MIMO wireless channels: models and performance prediction , 2002, IEEE Trans. Commun..

[9]  Shi Jin,et al.  On Marginal Distributions of the Ordered Eigenvalues of Certain Random Matrices , 2010, EURASIP J. Adv. Signal Process..