Statistical antenna selection for MIMO systems in double-sided correlated rayleigh fading channels

Antenna selection based on statistical channel knowledge (SCK) is considered for double-sided correlated Rayleigh fading multiple-input multi-output (MIMO) channels. We address the problem of the antenna subset selection at both the transmitter and receiver in spatial multiplexing systems. The selection goal is to maximize channel capacity or maximize the minimum receive SNR. Using Minkowski´s inequality, We derive two lower bounds on the resulted system capacity. Subsequently, two antenna selection algorithms in terms of capacity maximization are derived by employing these lower bounds. This paper also develops a selection algorithm for zero forcing (ZF) receiver by using Weyl´s theorem. Monte Carlo simulation results validate our theoretical analysis