多波束卫星通信系统的能效优化功率分配算法  

Energy efficiency optimization power allocation algorithm formulti-beam satellite communication system

作　　者：向碧群 江源 夏永红 XIANG Biqun;JIANG Yuan;XIA Yonghong(Chongqing Key Laboratory of Public Big Data Security Technology,Chongqing College of Mobile Communication,Chongqing 401420,P.R.China;School of Communications and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,P.R.China)

机构地区：[1]重庆移通学院公共大数据安全技术重点实验室,重庆401420 [2]重庆邮电大学通信与信息工程学院,重庆400065

出　　处：《重庆邮电大学学报（自然科学版）》2023年第5期789-797,共9页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

基　　金：国家自然科学基金项目(62071077)。

摘　　要：针对多波束卫星通信系统的能效优化问题,在确定用户分组的情况下,提出了一种基于能效优化的功率分配算法。采用斯坦克尔伯格博弈模型,将用户设为买方,卫星设为卖方。在用户服务质量约束和用户公平性约束条件下,构建双方的效用函数,通过寻找最优功率分配策略来实现效用函数最大化。由于用户效用函数是分式的非凸问题,利用Dinkelbach算法转换为减数形式的凸问题;利用拉格朗日数乘法对凸问题求解。所提算法在内层迭代求得最优功率分配策略,外层迭代计算系统能效。仿真结果表明,所提算法在系统能效上有较大的提升。A power allocation algorithm based on energy efficiency optimization is constructed for the optimization of energy efficiency in multi-beam satellite communication systems with determined user groupings.Using the Stackelberg game model,users are set as buyers and satellites are set as sellers.Under the constraints of user service quality and user fairness,the utility functions of both parties are constructed,and the optimal power allocation strategy is found to maximize the utility function.Since the user utility function is a fractional non-convex problem,it is converted into a subtractive convex problem using the Dinkelbach algorithm.The convex problem is solved using Lagrange multiplier method.The proposed algorithm obtains the optimal power allocation strategy through inner iteration,and calculates the system energy efficiency through outer iteration.Simulation results show that the proposed algorithm has significant improvement in system energy efficiency.

关 键 词：多波束卫星通信系统 非正交多址 功率分配 斯坦克尔伯格博弈 

分 类 号：TN92[电子电信—通信与信息系统]