Distributed antenna selection algorithms for improving BER in MIMO interference channels

In this paper, distributed antenna selection algorithms are proposed to improve uncoded bit-error-rate (BER) in multiple-input multiple-output (MIMO) interference channels. The well known distributed power control algorithm by Yates in 1995 is used in all proposed schemes together with distributed antenna search algorithms, explicitly distributed exhaustive search, relaxed exhaustive search, and cross-entropy optimization techniques. While maximization of minimum signal-to-interference plus noise ratio (SINR) is the antenna selection metric, power minimization subject to SINR constraint is the power control problem used in the proposed schemes. It is shown that the proposed algorithms improve the BER of the system with acceptable sum-rate and fairness achieved in the system. Prioritization of streams can improve the BER of the system such as by assigning higher priorities to more important streams. Although for simplicity, equal stream priority, i.e., fairness among streams, is considered in this work, the proposed schemes can be extended to prioritization scenarios.