Performance Analysis of Cognitive Radio Network for Opportunistic Wireless Energy Harvesting

Transmission delay and energy efficiency (EE) are important performances of 5G. Applying wireless energy harvesting (WEH) technology to cognitive radio network (CRN) can effectively solve battery power problems, and it is expected to have higher EE for wireless energy harvesting cognitive radio network (WEH-CRN). Collision will occur easily while multiple secondary transmitters (STs) of CRN simultaneously accesses the idle licensed channel, thus the secondary network transmission delay will increase and EE will decrease. By using the p-persistent CSMA mechanism for transmission, the collision probability can be effectively reduced. Based on WEH-CRN model and p-persistent CSMA protocol, this paper focus on analyzing the average packet delay and the EE of ST, including theoretical analysis and numerical simulation. These results will provide useful reference for the parameter design of the WEH-CRN.