Joint Sensing Times Detection Thresholds and Users Association Optimization in Multi-Channel Multi-Antenna Cognitive Radio Networks

Energy consumption and throughput optimization in cognitive radio networks (CRNs) are two critical issues that have attracted more attention recent years. In this paper, we consider maximization of the energy efficiency improvement as metrics for jointly optimizing sensing times detection thresholds each sub-channel selecting spectrum (SS) data transmitting multi-antenna secondary users (SUs) multi-channel CRN under constraints on probabilities false alarm detection. The considered problem is solved based convex method algorithm having less computational complexity compared to baseline approaches proposed achieve optimal parameters goals problem. performance scheme evaluated by simulations with other methods. results indicate approach can while minimum required guaranteed.