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Energy-Efficient Cooperative Strategy in RF Energy Harvesting Cognitive Radio Network

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Energy-efficient cooperative spectrum sharing has become a new trend based on financial and environmental considerations. We focus on a novel energy-efficient cooperative strategy in a Radio frequency (RF) energy harvesting cognitive radio network, where the Secondary user (SU) provides energy supply and relaying assist for the Primary user (PU) in exchange for the transmission opportunities. On the basis of energy and information cooperation, an Energy efficiency (EE) maximization non-convex problem for SU is formulated under the PU's Quality of service (QoS) requirement and energy-causality constraint. With the aid of Dinkebalch's method and convex optimization technique, a joint time and power allocation scheme is proposed. Numerical results show that the proposed scheme achieves higher SU's EE and better PU's QoS guarantee compared to the scheme in which the SU only provides energy for the PU's transmission.

Cognitive radio networkRadio frequen-cy (RF) energy harvestingCooperative communicationEnergy efficiencyResource management

YAN Feiyu、ZHAO Jihong、QU Hua、XU Xiguang

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School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China

School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710061, China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational High Technology Research and Development Program of China(863 Program)

61372092615310132014AA01A701

2019

10.1049/cje.2019.03.002

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(3)
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