Joint Resource Optimization in Two-way Relaying Energy Harvesting Cognitive Sensor Network

Simultaneous wireless information and power transfer (SWIPT) and cognitive radio (CR) can enable wireless sensor networks (WSNs) overcome the problem of limited service lifetime and the scarcity of spectrum. Cooperative relaying can further improve the performance and capacity of WSNs. This paper mainly investigates the performance of an OFDM based two-way decode-and-forward (DF) relaying cognitive sensor network (CSN) with energy harvesting. The cognitive sensor node serves as an energy harvesting relay which divides the subcarriers into two groups for transmitting the information of the primary users and itself. In order to maximize the transmission rate of CSN, we propose a joint resource optimization algorithm. Simulation results demonstrate the performance of the joint optimization algorithm.