邓天垠,,
苏开荣,
李云
重庆邮电大学移动通信技术重庆市重点实验室 ??重庆 ??400065
基金项目:科技新星培育工程(KJXX2017019)，重庆市教委科学技术研究项目(KJ1704096)，2016年博士研究生高端人才培养项目(BYJS2016009)，国家自然科学基金(61701059, 61671096)，重庆市基础科学与前沿技术研究项目(cstc2017jcyjBX0005)，东南大学移动通信国家重点实验室开放研究基金(2015D07)
详细信息
作者简介:吴广富：男，1980年生，博士生，工程师，研究方向为卫星移动通信基带算法、卫星通信侦察和干扰、5G物理层关键技术等
邓天垠：男，1992年生，硕士生，研究方向为5G无线通信技术
苏开荣：男，1962年生，教授，主要从事现代通信网、信息技术应用领域的研究与开发
李云：男，1974年生，博士，教授，主要从事无线移动通信理论与技术的研究工作
通讯作者:邓天垠 dtianyin@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:2017-12-22
修回日期:2018-05-15
网络出版日期:2018-07-12
刊出日期:2018-09-01
Multi-user Grouping Optimization Algorithm Based on Non-orthogonal Multiple Access Systems
Guangfu WU,Tianyin DENG,,
Kairong SU,
Yun LI
Chongqing Key Lab of Mobile Communication Technology, The Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Funds:The Science and Technology Nova Breeding Project (KJXX2017019), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJ1704096), The Doctoral Student Training Program (BYJS2016009), The National Natural Science Foundation of China (61701059, 61671096), Chongqing Research Program of Basic Science and Frontier Technology (cstc2017jcyjBX0005), The Open Research Fund of National Mobile Communications Research Laboratory Southeast University (2015D07)
摘要
摘要:用户分组算法作为非正交多址接入(NOMA)的关键部分，对系统吞吐量和用户公平性具有重要影响。当用户数量和可用的资源增加时，用户分组的最佳调度将变得不可行，该文提出一种子带间多用户分组优化算法。该算法首先根据用户信道增益差异和子带复用用户数限制条件进行多用户初始分组处理，减小用户搜索空间，然后逐步完成初始分组用户间的优化组合，以几何平均用户吞吐量最大为用户分组准则，进一步提升小区边缘用户的吞吐量。仿真结果表明，所提算法与传统的用户分组算法相比，系统总吞吐量和几何平均用户吞吐量性能提升均超过3%。
关键词:5G移动通信/
非正交多址接入/
比例公平调度/
多用户分组
Abstract:As a key part in Non-Orthogonal Multiple Access (NOMA), user grouping is of particular importance for non-orthogonal multiple access system to improve throughput performance and user fairness. When the number of users and the available resources is increased, the optimal scheduling of user grouping will be infeasible, so a multi-user grouping optimization algorithm for different sub-bands is proposed. According to the user channel gain difference and the restrictions of the multiplexed user number in the same subband, the proposed algorithm firstly performs the process of the initial multi-user grouping to reduce the user’s search space. Then, the optimized combination of the initial grouping users is gradually completed, and the maximum geometric mean user throughput is used as user grouping criterion, which can further enhance the cell-edge user throughput. Simulation results show that the system total throughput and geometric mean user throughput performance of the proposed algorithm can be improved by more than 3% compared with the traditional user grouping algorithms.
Key words:5G mobile communication/
Non-Orthogonal Multiple Access (NOMA)/
Proportional fairness scheduling/
Multi-user grouping
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