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。
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.
作者
徐勇军
刘子腱
李国权
陈前斌
林金朝
XU Yongjun;LIU Zijian;LI Guoquan;CHEN Qianbin;LIN Jinzhao(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Shaanxi Key Laboratory of Information Communication Network and Security,Xi’an University of Posts&Telecommunications,Xi’an 710121,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2021年第5期1289-1297,共9页
Journal of Electronics & Information Technology
基金
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)。
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
Non-Orthogonal Multiple Access(NOMA)
Simultaneous Wireless Information and Power Transfer(SWIPT)
Device-to-Device(D2D)
Robust resource allocation
Stochastic uncertainty model
