Joint Antenna Selection and MIMO Symbol De- tection Using Multiobjective Optimization

This study uses the joint receive antenna selection and symbol detection (JRAS/SD) technique to simultaneously improve the bit error rate and channel capacity while reducing the cost of the radio-frequency chains in multipleinput multiple-output (MIMO) systems. Optimal antenna selection methods in the literatureare based on the criteria of maximal capacity or minimal bit error rate. Either of these criteria requires an exhaustive search over all submatrices in the full channel response matrix, resulting in high complexity. This study proposes a new multiobjective JRAS/SD using the cross-entropy optimizationto reduce the bit error rate while approaching the maximal channel capacity in MIMO systems. Simulation results show that the proposed approach achievesimproved performance in both channel achievable rate and bit error rate performance compared with previous works.