Capacity of MIMO systems with antenna selection

Abstract

We consider the capacity of multiple-input multiple-output systems with reduced complexity. One link-end uses all available antennas, while the other chooses the L out of N antennas that maximize capacity. We derive an upper bound on the capacity that can be expressed sa sthe sum of the logarithms of ordered chi-square-distributed variables. This bound is then evaluated analytically and compared to the results obtained by Monte Carlo simulations. Our results show that the achieved capacity is close to the capacity of a full-complexity system provided that L is at least as large as the number of antennas at the other link-end. For example, for L=3, N=8 antennas at the receiver and three antennas at the transmitter, the capacity of the reduced-complexity scheme is 20 bits/s/Hz compared to 23 bits/s/Hz of a full-complexity scheme. We also present a suboptimum antenna subset selection algorithm that has a complexity of N2 compared to eht optimum algorithm with a complexity of (N L). IEEE Transactions on Wireless CommunicationsThis work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Abstract-We consider the capacity of multiple-input multipleoutput systems with reduced complexity. One link-end uses all available antennas, while the other chooses the L out of N antennas that maximize capacity. We derive an upper bound on the capacity that can be expressed as the sum of the logarithms of ordered chi-square-distributed variables. This bound is then evaluated analytically and compared to the results obtained by Monte Carlo simulations. Our results show that the achieved capacity is close to the capacity of a full-complexity system provided that L is at least as large as the number of antennas at the other linkend. For example, for L = 3, N = 8 antennas at the receiver and three antennas at the transmitter, the capacity of the reducedcomplexity scheme is 20 bits/s/Hz compared to 23 bits/s/Hz of a full-complexity scheme. We also present a suboptimum antenna subset selection algorithm that has a complexity of N 2 compared to the optimum algorithm with a complexity of N L .

Interference Alignment for UWB-MIMO Communication Systems

“…Note that antenna selection is a widely known approach in order to capture diversity and to improve the SNR of the communication systems [19], [14].…”

Antenna subset selection in measured indoor channels

“…The only way to select the optimal antenna subset is an exhaustive search of all possible subsets and pick the one giving the best SNR [3] for the diversity case and the one giving the best capacity for the capacity evaluations [5]. Hence,…”

“…Transmit diversity systems with HS at the transmitter and MRC at the receiver were analysed in [4]. Capacity bounds for the MIMO systems with HS at the receiver were analysed in [5], whereas HS for linear receivers was investigated by [6]. Subset selection combined with space-time coding was analysed in [7].…”

Performance analysis of multi‐antenna selection policies using the golden code in multiple‐input multiple‐output systems

“…Multiple-input and multiple-output (MIMO) wireless communications increases spectrum efficiency by spatial multiplexing and improves link reliability by antenna diversity [1] and [2]. Multiple antenna systems, however, need multiple radio-frequency (RF) chains associated with each antenna.…”

“…This benefits diversity but not spatial multiplexing. A reduced-complexity MIMO scheme that selects the L r best available N r antennas is proposed in [2].…”