ABSTRACT
Recently, energy harvesting (EH)-enabled green cognitive radio network (CRN) plays a pivotal role in developing an energy-efficient and sustainable future 5G wireless network. EH-CRN specifically addresses the issues of two communication resources, namely the limited battery power of the wireless nodes and scarcity in a spectrum band. To this aim, this chapter suggests a simple EH-CRN model operated by a typical frame structure. A frame structure comprises two non-overlapping time slots; one is for the spectrum sensing followed by reporting the signal samples of the primary user (PU) to the fusion center (FC). The other slot does EH or secondary data transmission depending on the transmission or non-transmission state of the PU, respectively. A single secondary transmitter–receiver pair is considered to be selected on the data transmission slot in a particular frame. A mathematical framework for maximizing the secondary throughput is formulated while meeting a predefined detection and false alarm probabilities of the PU (spectrum sensing reliability) and energy causality of the secondary transmit node. The duration of spectrum sensing and portion of the energy harvested used in the secondary data transmission are derived analytically. The simulation result shows a gain of ~12.68% in the secondary throughput over the existing work.
