反向散射辅助的无线供能通信网络中用户能效公平性研究

叶迎晖; 施丽琴; 卢光跃

doi:10.11959/j.issn.1000-436x.2020133

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反向散射辅助的无线供能通信网络中用户能效公平性研究

学术论文 | 更新时间：2024-06-05

- 反向散射辅助的无线供能通信网络中用户能效公平性研究
- User-centric energy efficiency fairness in backscatter-assisted wireless powered communication network
- 通信学报 2020年41卷第7期页码：84-94
- 作者机构：
  
  西安邮电大学陕西省信息通信网络及安全重点实验室，陕西西安 710121
- 作者简介：
  
  [ "叶迎晖（1991- ），男，浙江丽水人，博士，西安邮电大学副教授，主要研究方向为携能通信和边缘计算" ]
  [ "施丽琴（1993- ），女，安徽铜陵人，博士，西安邮电大学副教授，主要研究方向为边缘计算和无线供能网络" ]
  [ "卢光跃（1971- ），男，河南南阳人，博士，西安邮电大学教授、博士生导师，主要研究方向为认知无线电、携能通信和边缘计算等" ]
- 基金信息：
  
  陕西省重点科技创新团队计划基金资助项目(2017KCT-30-02);国家自然科学基金资助项目(61901370)
- DOI：10.11959/j.issn.1000-436x.2020133
  中图分类号： TN92
- 网络出版日期：2020-07，
  
  纸质出版日期：2020-07-25
- 稿件说明：
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叶迎晖, 施丽琴, 卢光跃. 反向散射辅助的无线供能通信网络中用户能效公平性研究[J]. 通信学报, 2020,41(7):84-94.

Yinghui YE, Liqin SHI, Guangyue LU. User-centric energy efficiency fairness in backscatter-assisted wireless powered communication network[J]. Journal on communications, 2020, 41(7): 84-94.
叶迎晖, 施丽琴, 卢光跃. 反向散射辅助的无线供能通信网络中用户能效公平性研究[J]. 通信学报, 2020,41(7):84-94. DOI： 10.11959/j.issn.1000-436x.2020133.

Yinghui YE, Liqin SHI, Guangyue LU. User-centric energy efficiency fairness in backscatter-assisted wireless powered communication network[J]. Journal on communications, 2020, 41(7): 84-94. DOI： 10.11959/j.issn.1000-436x.2020133.

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。

Abstract

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.

关键词

Keywords

references

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