Joint Receive Antenna Selection Research Articles

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 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. 

Joint receive antenna selection and symbol detection for MIMO systems: a heterogeneous genetic approach

This letter presents a joint scheme of receive antenna selection and symbol detection for multiple-input,multiple output (MIMO) systems based on the maximum likelihood (ML) criterion. To mitigate the computational complexity, a novel variant of the genetic algorithm (GA) is addressed to solve the nonlinear optimization involved, where a new heterogenous crossover and a new heterogenous mutation are conducted in the chromosome evolution process. Furnished simulations show that the new approach provides superior performance with substantially lower computational load compared with previous works in both correlated and uncorrelated channels.

Joint Receive Antenna Selection for Multi-User MIMO Systems with Vector Precoding

Vector precoding is a nonlinear broadcast precoding scheme in the downlink of multi-user MIMO systems which outperforms linear precoding and THP (Tomlinson-Harashima Precoding). This letter discusses the problem of joint receive antenna selection in the multi-user MIMO downlink with vector precoding. Based on random matrix analysis, we derive a simple heuristic selection criterion using singular value decomposition (SVD) and carry out an exhaustive search to determine for each user which receive antenna should be used. Simulation results reveal that receive antenna selection using our proposed criterion obtains the same diversity order as the optimal selection criterion.