Energy Efficient Resource Allocation in Cooperative Cognitive Radio Networks
QU Hua① ZHAO Yongqiang① ZHAO Jihong①② YAN Feiyu① XU Xiguang①
①(School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China) ②(School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710061, China)
Abstract：Considering the energy-constrained cooperative cognitive radio networks, the maximization problem of Energy Efficiency (EE) with Quality of Service (QoS) constraint of primary user is investigated. Secondary user receives the signals of primary user using Simultaneous Wireless Information and Power Transfer (SWIPT) and serves as a relay with decode-and-forward protocol. Based on fractional programming and introducing auxiliary variables, the original optimization issue is converted to a convex issue and solved, and an iterative algorithm for resource allocation is proposed. Simulation results demonstrate that the proposed algorithm converges to the optimal solution quickly. Compared with the energy-cooperation strategy, the proposed strategy achieves a higher EE and protects the QoS of primary user better.
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