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作 者:杨旭 王春佳[3] 刘德飞 YANG Xu;WANG Chun-jia;LIU De-fei(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650093,China;Department of Industrial Information Technology,Yunnan Vocational College of Mechanical and Electrical Technology,Kunming 650203,China;Yunnan Normal University Elementary Education Group,Kunming 650092,China;Southwest National Education and Psychology Research Center,Southwest University,Chongqing 400715,China)
机构地区:[1]昆明理工大学信息工程与自动化学院,云南昆明650093 [2]云南机电职业技术学院工业信息技术系,云南昆明650203 [3]云南师范大学基础教育集团,云南昆明650092 [4]西南大学西南民族教育与心理研究中心,重庆400715
出 处:《测控技术》2020年第2期67-73,85,共8页Measurement & Control Technology
基 金:国家自然科学基金面上项目(61601334);云南省教育厅科学研究基金项目(2018JS533)
摘 要:如何提升系统的吞吐量是蜂窝网络中研究的热点。利用设备到设备通信(D2D)技术为蜂窝边缘用户设备提供中继支持,进而提升系统的吞吐量。描述一种中继节点选择和频谱分配的联合问题,帮助蜂窝边缘用户设备寻找合适的中继节点,并为D2D链路分配频谱,在满足D2D和传统蜂窝用户设备干扰约束的条件下使系统吞吐量最大化。为此,提出一种基于双层博弈模型的分布式算法,对上述问题进行求解。该博弈模型分为内层和外层;内层通过Stackelberg博弈理论为蜂窝边缘用户设备选择中继节点,并将其作为主节点,蜂窝边缘用户设备作为从节点;外层采用联合博弈理论为蜂窝边缘用户设备及其中继节点间的链路分配合适的频谱。仿真结果表明本文算法在能耗、吞吐量等方面的性能要优于其他典型算法。How to improve the throughput of the system is a hot topic in the research of cellular networks. Device-to-device( D2 D) communication technology is used to provide relay assistance to cell-edge user equipments( UEs) with the objective of improving system throughput. A joint problem of relay node selection and spectrum allocation which helps cell-edge UEs find the proper relay nodes is formulated,as well as spectrum allocation for D2 D links to maximize the system throughput with interference constraints to both D2 D and traditional cellular UEs. To this end,a distributed algorithm adopting a two-level game model is proposed,which consists of inner and outer levels to solve the formulated problem. In the inner level,the Stackelberg game is used to select relay nodes for cell-edge UEs,where the relay nodes act as the leaders and the cell-edge UEs act as the followers. In the outer level,the coalition formation game is used to allocate proper spectrum for the D2 D links between cell-edge UEs and their relay nodes. The simulation results show that the performance of the proposed algorithm is better than the other typical algorithms in terms of energy consumption and throughput.
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