Cross-Entropy Optimization Oriented Antenna Selection for Clustering Management in Multiuser MIMO Networks

Xinyu Zhang, Jing Guo, Qiuyi Cao, Nan Zhao

Abstract: In this paper, antenna selection (AS) is considered for clustering management (CM) to improve the spectrum efficiency of asymmetric interference networks. Through the proposed CM scheme, the whole network can be divided into several clusters, which will lead to a relative redundance of antenna resource for each interference alignment (IA) pair in the IA cluster. Therefore, the AS technique is adopted to improve the performance through selecting the optimal antenna combination for IA pairs. Considering the high computational complexity of the exhaustive search (ES) AS method, the cross-entropy optimization (CEO) algorithm is used to perform the IA technique, which can achieve relatively high performance with low computational complexity. From the simulation results, we can find that the proposed AS method in clustering management can further enhance the performance of the IA-based network.