刘子腱1,
李国权1,
陈前斌1,
林金朝1
1.重庆邮电大学通信与信息工程学院 重庆 400065
2.西安邮电大学陕西省信息通信网络及安全重点实验室 西安 710121
基金项目:国家自然科学基金(61601071)，重庆市自然科学基金(cstc2019jcyj-xfkxX0002)，陕西省信息通信网络及安全重点实验室(ICNS201904)
详细信息
作者简介:徐勇军：男，1986年生，副教授，硕士生导师，研究方向为D2D通信、能量收集、异构无线网络资源分配
刘子腱：男，1995年生，硕士生，研究方向为D2D通信、鲁棒资源分配
李国权：男，1980年生，副教授，硕士生导师，研究方向为多蜂窝网络性能分析
陈前斌：男，1967年生，教授，博士生导师，研究方向为下一代移动通信
林金朝：男，1966年生，教授，博士生导师，研究方向为无线传输技术、BAN网络与信道处理技术
通讯作者:徐勇军 xuyj@cqupt.edu.cn
中图分类号:TN929.5计量
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被引次数:0
出版历程
收稿日期:2020-03-17
修回日期:2020-07-24
网络出版日期:2020-08-22
刊出日期:2021-05-18
Robust Energy Efficiency Optimization Algorithm for NOMA-based D2D Communication With Simultaneous Wireless Information and Power Transfer
Yongjun XU1, 2,,,Zijian LIU1,
Guoquan LI1,
Qianbin CHEN1,
Jinzhao LIN1
1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2. Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts & Telecommunications, Xi’an 710121, China
Funds:The National Natural Science Foundation of China (61601071), The National Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002), The Shaanxi Key Laboratory of Information Communication Network and Security (ICNS201904)
摘要
摘要:针对频谱短缺、基站负荷过高、通信系统功耗较大等问题，考虑不完美的信道状态信息，该文提出一种基于非正交多址接入的无线携能(SWIPT)D2D网络鲁棒能效(EE)最大化资源分配算法(SREA)。考虑用户的服务质量约束以及最大发射功率约束，基于随机信道不确定性建立鲁棒能效最大化资源分配模型。利用Dinkelbach和变量替换方法，将原NP-hard问题转换为确定性的凸优化问题，通过拉格朗日对偶理论求得解析解。仿真结果表明，所提算法在保证蜂窝用户通信质量的同时，能够有效提高D2D用户的能效性和鲁棒性能。
关键词:非正交多址接入/
无线信息与功率同传/
终端直通/
鲁棒资源分配/
随机不确定性模型
Abstract:In order to resolve the problems of spectrum shortage, large power consumption, and excessive load at base stations, a Simultaneous Wireless Information and Power Transfer (SWIPT)-based Robust Energy Efficiency (EE) Algorithm (SREA) with imperfect channel state information is proposed to maximize the total EE in Non-Orthogonal Multiple Access (NOMA) assisted Device-to-Device (D2D) networks. Considering the users' Quality of Service (QoS) constraints and maximum transmit power constraints, a robust EE maximization-based resource allocation model is established based on random channel uncertainties. Moreover, the original NP-hard problem is transformed into a deterministic convex optimization problem by using Dinkelbach’s method and the variable substitution method. And the analytical solutions are obtained through Lagrange dual theory. Simulation results demonstrated that the proposed algorithm can effectively improve the system EE and the robustness of D2D users while ensuring the communication quality of cellular users.
Key words:Non-Orthogonal Multiple Access (NOMA)/
Simultaneous Wireless Information and Power Transfer (SWIPT)/
Device-to-Device (D2D)/
Robust resource allocation/
Stochastic uncertainty model
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