星地认知网络能效谱效联合博弈功率控制算法  

Combined Game Power Control Algorithm for Energy Efficiency and Spectral Efficiency of Satellite-Earth Cognitive Network

作　　者：陈威龙 梁俊[1] 肖楠[1] 刘明[1] 丁然 郭子桢 CHEN Weilong;LIANG Jun;XIAO Nan;LIU Ming;DING Ran;GUO Zizhen(Information and Navigation College,Air Force Engineering University,Xi’an 710077,China;Unit 94303,Weifang 261000,Shandong,China)

机构地区：[1]空军工程大学信息与导航学院,西安710077 [2]94303部队,山东淮坊261000

出　　处：《空军工程大学学报（自然科学版）》2020年第3期51-56,共6页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：国家自然科学基金(61871474)。

摘　　要：在Underlay模式下,卫星网络覆盖范围大会导致用户频率冲突干扰,针对该问题以及星地网络中移动用户的能量有限的情况,综合考虑卫星用户中地面站和移动用户的差异,构建了基于能效谱效联合博弈的星地认知网络多用户功率控制模型,并在该博弈模型基础上提出了一种能效谱效联合博弈算法(COAES),定义了能效和谱效因子,通过对不同用户的能效和谱效优化需求进行博弈,并证明每个用户均能达到最优状态即纳什均衡状态。仿真结果表明:COAES算法能满足不同用户的谱效和能效需求,并且联合因子相比NETMA算法和PRA算法分别提升了50%和35%。Aimed at the problems that under condition of Underlay mode,the phenomenon of user frequency conflict interference may come out if the coverage is large with the satellite network,and the energy of mobile users in the satellite-ground network is limited,in comprehensive consideration of the differences between the ground stations and mobile users among satellite users,this paper constructs a multi-user joint power control game model based on the spectrum of energy efficiency,and on the basis of the best response strategy and based on the game model proposed,a joint optimization algorithm(COAES)spectrum of energy efficiency effect is proposed,and the spectrum efficiency and effect factor are defined.Through the energy efficiency of different users playing with spectrum optimization requirements in terms of game theory,theory can prove its convergence to the Nash equilibrium.The simulation results show that the COAES algorithm can meet the needs of the spectral efficiency and the energy efficiency for different users,and the combined factor increases by 50% and 35%respectively,compared with the NETMA algorithm and the PRA algorithm.

关 键 词：卫星通信 认知无线电 能量效率 频谱效率 功率控制 博弈论 

分 类 号：TN927.2[电子电信—通信与信息系统]