Joint Resource Allocation for Wireless Energy Harvesting Enabled Cognitive Sensor Networks

• Published in: IEEE access Vol. 6; pp. 22480 - 22488
• Main Authors: Lu, Weidang, Nan, Tian, Gong, Yi, Qin, Mei, Liu, Xin, Xu, Zhijiang, Na, Zhenyu
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bandwidth; bandwidth allocation; Bandwidths; cognitive relaying sensor network; Cognitive systems; Energy harvesting; power splitting; Protocol (computers); Protocols; Radio signals; Receivers; Relaying; Resource allocation; Sensors; Splitting; Wireless communication; Wireless energy harvesting; Wireless sensor networks
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2018.2827022

In this paper, we consider a cognitive relaying network, where the cognitive sensor transmitter (CST) is capable of harvesting energy from the radio frequency signals with a power splitting scheme. Specifically, the primary transmitter (PT) broadcasts its signal to primary receiver (PR) and CST in the first transmission slot. After receiving PT's signal, CST splits the received signal into two parts, one for information decoding and the other for energy harvesting. In the second transmission slot, CST allocates a part of the accessed bandwidth to forward PT's signal to PR with amplify-and-forward or decode-andforward relaying protocols by using the harvested energy in the first transmission slot. As a reward, CST can utilize the remained bandwidth to transmit its own signal to the cognitive sensor receiver. The main object is to maximize cognitive network transmission rate by jointly optimizing the power splitting ratio and bandwidth subject to the primary transmission rate constraint. Simulation results are presented to illustrate the performance improvement of both primary and cognitive systems.