On antenna selection with maximum ratio transmission

In this paper, we investigate the capacity performance of multiple-input, multiple-output (MIMO) systems with antenna selection. At the transmitter, we assume a single data stream transmission using optimum transmit beamforming, also known as maximum ratio transmission (MRT). The scope of this paper is two-fold: first, to analyze the performance of MRT with antenna selection, and second, to present simple, computationally efficient algorithms that perform near-optimal antenna selection. On the analytical side, we obtain bounds on the ergodicity capacity for MRT with optimum antenna selection over a flat-fading channel. Through simulation, we compare the performance of the MRT with antenna selection and full-feedback systems (where the transmitter knows the channel matrix) and show that having just a few additional antennas enables MRT with antenna selection to perform as well as full-feedback systems for transmission at reasonable signal-to-noise ratios. Next, we propose two new algorithms for performing the antenna selection. These algorithms are significantly more computationally efficient, and have negligible loss of capacity, compared to optimal antenna selection. Through Monte-Carlo simulations, we verify both our analytical results and the performance of the algorithms.

[1]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

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

[3]  Rick S. Blum,et al.  On optimum MIMO with antenna selection , 2002, IEEE Communications Letters.

[4]  Moe Z. Win,et al.  Analysis of hybrid selection/maximal-ratio combining in Rayleigh fading , 1999, IEEE Trans. Commun..

[5]  Moe Z. Win,et al.  Analysis of hybrid selection/maximal-ratio combining in Rayleigh fading , 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).

[6]  Ranjan K. Mallik,et al.  Analysis of transmit-receive diversity in Rayleigh fading , 2003, IEEE Trans. Commun..

[7]  Arogyaswami Paulraj,et al.  MIMO antenna subset selection with space-time coding , 2002, IEEE Trans. Signal Process..

[8]  Moe Z. Win,et al.  Capacity of MIMO systems with antenna selection , 2001, IEEE Transactions on Wireless Communications.

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

[10]  Bhaskar D. Rao,et al.  Multiple antenna channels with partial channel state information at the transmitter , 2004, IEEE Transactions on Wireless Communications.

[11]  Soon Yil Kwon,et al.  Comments on "Comparison of diversity combining techniques for Rayleigh-fading channels" , 1998, IEEE Trans. Commun..

[12]  Titus K. Y. Lo Maximum ratio transmission , 1999, IEEE Trans. Commun..