Abstract
Due to the scarcity of the available spectrum bands, Cognitive Radio (CR) has been proposed as a promising paradigm. One of the most important research area is how to maximize Secondary User (SU) system throughput while assuring the Quality of service of Primary User (PU) system. Multiple-Input-Multiple-Output (MIMO) is an efficient technique, exploiting space diversity, used for increasing SUs throughput. The contribution is to maximize the minimal throughput among SUs, in particular the uplink of the infrastructure-based Cognitive Radio Networks (CRNs), through proposing a power allocation technique based on Particle Swarm Optimization (PSO) for MIMO systems in CR networks. Maximum-Minimum Throughput-based Power Assignment (MMTPA) and Equal Power Assignment (EPA), using the average minimal throughput among all SUs and also the complexity to measure performance, approaches are used for comparison. The simulation results show that the proposed approach outperforms the two other schemes, in addition, an increase in the total throughput of SU system.