摘要
针对反向散射辅助的无线供能通信网络中由于信道质量差异导致的用户能效不公平问题,提出了一种基于最大最小准则的资源分配方法。首先,考虑用户服务质量与能量因果约束,并以最大最小化用户能效为目标,将优化问题建模为混合整数非凸分式规划问题。其次,利用广义分式规划理论将其转化为一个混合整数非凸减式优化问题,并通过引入松弛变量、反证法和辅助变量将非凸减式问题进一步转化为一个等价的凸问题。最后,提出一种迭代算法来获取原优化问题的最优解。实验仿真验证了所提迭代算法的快速收敛性,并证明了所提资源分配方法能够有效地保障用户能效公平性。
In order to address the unfair user-centric energy efficiency(EE)problem caused by channel difference in the backscatter-assisted wireless powered communication network,a resource allocation scheme was proposed.Firstly,a mixed integer nonconvex fractional programming problem was formulated to maximize the minimum user-centric EE,subject to the quality of service and energy-causality constraints.Based on the generalized fractional programming theory,the original problem was transformed into a mixed integer nonconvex subtraction problem.With the aid of the slack variable,the proof by contradiction,the auxiliary variable and the mixed integer nonconvex subtraction problem were further transformed into an equivalent convex problem.Finally,an iterative algorithm was proposed to obtain the optimal solutions.Computer simulations validated the quick convergence of the proposed iterative algorithm,and that the developed resource allocation scheme efficiently guarantees the fairness among users in terms of EE.
作者
叶迎晖
施丽琴
卢光跃
YE Yinghui;SHI Liqin;LU Guangyue(Shaanxi Key Laboratory of Information Communication Network and Security,Xi’an University of Posts&Telecommunications,Xi’an 710121,China)
出处
《通信学报》
EI
CSCD
北大核心
2020年第7期84-94,共11页
Journal on Communications
基金
陕西省重点科技创新团队计划基金资助项目(No.2017KCT-30-02)
国家自然科学基金资助项目(No.61901370)。
关键词
反向散射
无线供能通信网络
用户能效
公平性
backscatter
wireless powered communication network
user-centric energy efficiency
fairness
