Abstract—This study uses the joint receive antenna selection and symbol detection (JRAS/SD) technique to simultaneous-ly improve the bit error rate and channel capacity while reducing the cost of the radio-frequency chains in multiple-input 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 subma-trices 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 ca-pacity 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.

Index Terms—Antenna selection, channel capacity, cross entropy method, multiple-input multiple-output (MIMO) systems, multiobjective optimization

Cite: Jenn-Kaie Lain, "Joint Antenna Selection and MIMO Symbol De-tection Using Multiobjective Optimization," International Journal of Electronics and Electrical Engineering, Vol. 1, No. 3, pp. 149-154, September 2013. doi: 10.12720/ijeee.1.3.149-154