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合作认知无线网络中能效最优资源分配

曲桦 赵永强 赵季红 闫飞宇 徐西光

曲桦, 赵永强, 赵季红, 闫飞宇, 徐西光. 合作认知无线网络中能效最优资源分配[J]. 电子与信息学报, 2018, 40(5): 1024-1030. doi: 10.11999/JEIT170671
引用本文: 曲桦, 赵永强, 赵季红, 闫飞宇, 徐西光. 合作认知无线网络中能效最优资源分配[J]. 电子与信息学报, 2018, 40(5): 1024-1030. doi: 10.11999/JEIT170671
QU Hua, ZHAO Yongqiang, ZHAO Jihong, YAN Feiyu, XU Xiguang. Energy Efficient Resource Allocation in Cooperative Cognitive Radio Networks[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1024-1030. doi: 10.11999/JEIT170671
Citation: QU Hua, ZHAO Yongqiang, ZHAO Jihong, YAN Feiyu, XU Xiguang. Energy Efficient Resource Allocation in Cooperative Cognitive Radio Networks[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1024-1030. doi: 10.11999/JEIT170671

合作认知无线网络中能效最优资源分配

doi: 10.11999/JEIT170671
基金项目: 

国家自然科学基金(61372092, 61531013)

Energy Efficient Resource Allocation in Cooperative Cognitive Radio Networks

Funds: 

The National Natural Science Foundation of China (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。
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出版历程
  • 收稿日期:  2017-07-07
  • 修回日期:  2018-01-29
  • 刊出日期:  2018-05-19

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