Energy efficient relay selection framework for 5G communication using cognitive radio networks

The large bandwidth of 5G wireless networks results in a discontinuous optimal spectrum. This study leverages cognitive radio networks and collaborative spectrum sensing to improve the transmission performance in 5G communication. Energy limitations for each secondary user (SU) and potential errors in secondary transmission within cognitive nodes during cooperative transmissions and spectrum sensing contribute to the dynamic energy efficiency. This paper details an Electronic Energy Relay Selection (EERS) system. The weighted average function determines the optimal relays when the network communication power consumption and spectrum-detection levels are equal. The EERS system examines the correlation between energy efficiency and detection precision. The proposed EERS system surpasses the performance of the compressed sensing collaborative detection (CSCD) system. MATLAB was used to evaluate and compare performance metrics such as weighted energy consumption, number of collaborative SU relays, and probability of missing detection with those of compressed sensing-based collaborative detection.