摘要
针对认知无线网络中网络信息的非对称性和无线节点的自私性,提出一种基于契约的协作频谱共享动态激励机制。考虑到无线节点位置和信道条件等因素的动态特性,在建立主用户和次级用户模型基础上,研究两阶段动态契约激励模型,在次级用户满足激励相容和参与约束条件下,通过鉴别次级用户的真实协作能力,实现主用户期望效用最大化。实验结果表明,该机制能够有效提高协作频谱共享性能,为无线频谱的高效利用和资源共享提供新思路。
Considering the information asymmetry and the selflessness of wireless nodes in cognitive radio networks,a cooperative spectrum sharing incentive mechanism was proposed.Considering the variable characteristic of wireless nodes’location and channel conditions,a two-period dynamic contract incentive mechanism was studied on the basis of establishing the primary user and secondary user model.The optimal contract was derived to maximize the primary user’s expected utility based on the secondary user’s individually rational and incentive compatible conditions.Results show that,the proposed dynamic contract incentive mechanism effectively improve the performance of cooperative spectrum sharing and the new ideas for efficient sharing and utilization of spectrum resource are put forward.
作者
赵楠
陈洋
刘睿
范孟林
郑甜
ZHAO Nan;CHEN Yang;LIU Rui;FAN Meng-lin;ZHENG Tian(Hubei Collaborative Innovation Center for High-Efficient Utilization of Solar Energy,Hubei University of Technology, Wuhan 430068,China;Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System,Hubei University of Technology,Wuhan 430068,China;Hubei Power Grid Intelligent Control and Equipment Engineering Technology Research Center,Hubei University of Technology,Wuhan 430068,China;National Key Laboratory of Science and Technology on Communications,University of Electronic Science and Technology of China,Chengdu 611731, China;Guangshui Power Supply Company,Hubei Electric Power Company,State Grid Corporation of China,Guangshui 432700,China)
出处
《计算机工程与设计》
北大核心
2018年第9期2725-2729,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(61501178)
中国博士后科学基金项目(2017M623004)
湖北省自然科学基金项目(2018CFB698)
关键词
认知无线网络
信息非对称
动态契约
协作频谱共享
激励机制
cognitive wireless networks
information asymmetry
dynamic contract
cooperative spectrum sharing
incentive mechanism