肖娇,,
赵国繁,
杨友超,
陈前斌
1.重庆邮电大学通信与信息工程学院 重庆 400065
2.重庆邮电大学移动通信技术重点实验室 重庆 400065
基金项目:国家自然科学基金(61571073)，重庆市教委科学技术研究项目(KJZD-M201800601)
详细信息
作者简介:唐伦：男，1973年生，教授，博士生导师，主要研究方向为新一代无线通信网络、异构蜂窝网络等
肖娇：女，1995年生，硕士生，研究方向为蜂窝车联网络下的资源调度算法
赵国繁：女，1993年生，硕士生，研究方向为5G网络切片中的资源分配，可靠性
杨友超：男，1993年生，硕士生，研究方向为网络虚拟化和切片资源分配
陈前斌：男，1967年生，教授，博士生导师，主要研究方向为个人通信、多媒体信息处理与传输、下一代移动通信网络、异构蜂窝网络等
通讯作者:肖 娇 Ir_xiao@163.com
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:2019-01-03
修回日期:2019-05-28
网络出版日期:2019-11-25
刊出日期:2020-02-19
Energy Efficiency Based Dynamic Resource Allocation Algorithm for Cellular Vehicular Based on Non-Orthogonal Multiple Access
Lun TANG,Jiao XIAO,,
Guofan ZHAO,
Youchao YANG,
Qianbin CHEN
1. School of Communication and Information Engineering, Chongqing University of Post and Telecommunications, Chongqing 400065, China
2. Key Laboratory of Mobile Communication Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China
Funds:The National Natural Science Foundation of China (61571073), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-M201800601)
摘要
摘要:在支持车与车直接通信(V2V)的非正交多址接入(NOMA)蜂窝网络场景下，针对V2V用户与蜂窝用户的干扰以及NOMA准则下的功率分配问题，该文提出一种基于能效的动态资源分配算法。该算法首先为了保证V2V用户的时延及可靠性同时满足蜂窝用户的速率需求，联合考虑子信道调度、功率分配和拥塞控制，建立了最大化系统能效的随机优化模型。其次，利用李雅普诺夫随机优化方法，通过控制可接入数据量保证队列稳定性以避免网络拥塞，并根据实时网络负载状态动态地进行资源调度，设计一种次优化子信道匹配算法获得用户调度方案，进一步，利用凸优化理论和拉格朗日对偶分解方法得到功率分配策略。最后，仿真结果表明，该文算法可以满足不同用户的服务质量(QoS)需求，并在保证网络稳定性前提下提高系统能效。
关键词:非正交多址接入/
蜂窝车联网/
资源分配/
李雅普诺夫优化
Abstract:In the Non-Orthogonal Multiple Access (NOMA) based cellular network with Vehicle-to-Vehicle (V2V) communication, to mitigate the co-channel interference between V2V users and cellular users as well as the power allocation problem based on the NOMA principle, an energy efficiency dynamic resource allocation algorithm is proposed. Firstly, a stochastic optimization model is established to maximize the energy efficiency by considering subchannel scheduling, power allocation and congestion control, in order to guarantee the delay and reliability of V2V users while satisfying the rate of cellular users. Then, leveraging on the Lyapunov stochastic optimization method, the traffic queues can be stabilized by admitting as much traffic data as possible to avoid network congestion, and the radio resource can be allocated dynamically according to the real-time network traffic and thus a suboptimal subchannel matching algorithm is designed to obtain the user scheduling scheme. Furthermore, the power allocation policy is obtained by utilizing successive convex optimization theory and Lagrange dual decomposition method. Finally, the simulation results show that the proposed algorithm can improve the system energy efficiency and ensure the Quality of Service (QoS) requirements of different users and network stability.
Key words:Non-Orthogonal Multiple Access (NOMA)/
Cellular vehicular/
Resource allocation/
Lyapunov optimization
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