PERFORMANCE ANALYSIS OF BEST RELAY SELECTION STRATEGY BASED ON POTENTIAL RELAY IN UNDERLAY COGNITIVE NETWORKS

In underlay cognitive radio networks (CRNs), best relay selection strategy (BRSS) has received widespread attention in recent years as an effective relay selection strategy. The implementation of BRSS depends on a large amount of channel state information (CSI), which increases the energy consumption of secondary networks (SNs). This paper introduces an improved best relay selection strategy (IBRSS) based on potential relay that reduces demand on CSI, and at the same time improve performance of SNs. This paper proposes a system model of mutual interference between SNs and primary networks (PNs). By deriving signal to-interference and noise ratio (SINR), it is proved that the IBRSS can reduce outage probability (OP) and bit error rate (BER) of SNs.