Asymptotic Analysis of Ergodic Capacity for Amplify-and-Forward MIMO Relaying Systems

In this paper, we analyze asymptotic ergodic capacity of multiple-input multiple-output (MIMO) amplify-andforward (AF) relaying systems with channel state information (CSI) at the relay. By exploiting the asymptotic results for eigenvalue distributions, we derive the ergodic capacity in various asymptotic antenna regimes as a closed-form expression with arbitrary system parameters. The analyzed results demonstrate that increasing the number of source antennas causes the capacity shrink phenomenon which is analogous to the channel hardening effect in multi-user MIMO systems. Although we assume asymptotically large antennas to obtain the closed-form expressions, simulation results show that our derived expressions are surprisingly accurate even with the moderate number of antennas, and thus can serve for analyzing practical MIMO relay networks.

[1]  Craig A. Tracy,et al.  Application of Random Matrix Theory to Multivariate Statistics , 2006 .

[2]  Anders Høst-Madsen,et al.  Capacity bounds and power allocation for wireless relay channels , 2005, IEEE Transactions on Information Theory.

[3]  I. Johnstone On the distribution of the largest eigenvalue in principal components analysis , 2001 .

[4]  Adrian Agustin,et al.  Linear Transceiver Design in Nonregenerative Relays With Channel State Information , 2007, IEEE Transactions on Signal Processing.

[5]  Bo Wang,et al.  On the capacity of MIMO relay channels , 2005, IEEE Transactions on Information Theory.

[6]  Abbas El Gamal,et al.  Capacity theorems for relay channels , 1979 .

[7]  A. Soshnikov A Note on Universality of the Distribution of the Largest Eigenvalues in Certain Sample Covariance Matrices , 2001, math/0104113.

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

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

[10]  Folkmar Bornemann,et al.  On the Numerical Evaluation of Distributions in Random Matrix Theory: A Review , 2009, 0904.1581.

[11]  G. Kramer Capacity Theorems for Wireless Relay Channels , .

[12]  Helmut Bölcskei,et al.  Capacity scaling laws in MIMO relay networks , 2006, IEEE Transactions on Wireless Communications.

[13]  Yingbo Hua,et al.  Optimal Design of Non-Regenerative MIMO Wireless Relays , 2007, IEEE Transactions on Wireless Communications.

[14]  Noureddine El Karoui On the largest eigenvalue of Wishart matrices with identity covariance when n, p and p/n tend to infinity , 2003, math/0309355.

[15]  Abbas El Gamal,et al.  Capacity theorems for the relay channel , 1979, IEEE Trans. Inf. Theory.

[16]  K. Johansson Shape Fluctuations and Random Matrices , 1999, math/9903134.

[17]  Kyoung-Jae Lee,et al.  Sum-Rate Maximization for Two-Way MIMO Amplify-and-Forward Relaying Systems , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

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