合作认知无线网络中能效最优资源分配  

Energy Efficient Resource Allocation in Cooperative Cognitive Radio Networks

作　　者：曲桦[1] 赵永强 赵季红[1,2] 闫飞宇 徐西光[1] QU Hua;ZHAO Yongqiang;ZHAO Jihong;YAN Feiyu;XU Xiguang(School of Electronics 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)

机构地区：[1]西安交通大学电信学院,西安710049 [2]西安邮电大学通信与信息工程学院,西安710061

出　　处：《电子与信息学报》2018年第5期1024-1030,共7页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61372092;61531013)~~

摘　　要：针对能量受限的合作认知网络,该文研究在保证主用户服务质量要求下,认知用户能量效率最大化问题。认知用户利用信能同传技术接收主用户信号,并采用解码转发协议协助主用户通信。基于分式规划和引入辅助变量将原始非凸问题转换为凸优化问题进行求解,并提出一种迭代的资源分配算法。仿真结果表明,所提算法能够快速收敛于最优解。与能量合作方案相比,该文所采用方案能量效率显著提高,同时能更好地保证主用户服务质量要求。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.

关 键 词：合作认知网络 能量效率 信能同传 凸优化 

分 类 号：TN92[电子电信—通信与信息系统]