Performance analysis of a Wirelessly Powered Cognitive Radio Communication Network

Over the years, many energy harvesting techniques were proposed in the literature. These techniques are used to solve power supply problems as it has been one of the crucial challenges in wireless communication. With the relatively large numbers of devices that are expected to be deployed starting 2020, it has become harder to implement reasonably priced networks with sufficient power supplying techniques. In this paper, a novel cognitive radio network (CRN) is proposed in which the secondary-users (SUs) have the ability to wirelessly harvest energy from a broadcasted energy signal sent from a central node (CN). Additionally, nodes that might not get sufficient energy from the CN, can be supplied from nearby nodes as they can relay some of their harvested energy. This maintains a fair distribution of energy among all the cognitive radio nodes in the network. The individual and overall network throughput as well as the power efficiency (PE) are derived and investigated in order to validate the fairness in energy distribution.