Performance of Energy Harvesting Cooperative Cognitive Radio Network Under Higher Order QAM Schemes

Cognitive radio (CR) with adaptive modulation schemes can resolve the spectrum scarcity problem and fulfill the high data-rate requirement for the deployment of the nextgeneration wireless network. Here, we examine the performance of an energy harvesting cognitive radio network (EH-CRN) based on cooperative prediction-sensing, over Nakagami-m fading channels for higher-order modulation schemes like rectangular quadrature amplitude modulation (RQAM) and hexagonal QAM (HQAM). These schemes provide high data rates with improved power and spectral efficiency. For performance analysis, the exact analytical expressions of energy harvesting, throughput, outage probability, and average symbol error rate (ASER) are derived. The impact of fading severity, threshold data-rate, and constellation size on the system performance is highlighted. The simulation results prove the correctness of the derived exact analytical expressions.