徐勇军1, 2,,,
陈前斌1
1.重庆邮电大学通信与信息工程学院 重庆 400065
2.山东大学山东省无线通信技术重点实验室 济南 250100
基金项目:国家自然科学基金(61601071)，重庆市教委科学技术研究计划项目(KJQN201800606)，重庆市基础研究与前沿探索专项面上项目(cstc2019jcyj -msxmX0666, cstc2019jcyj-xfkxX0002), 重庆市科技创新领军人才项目(CSTCCXLJRC201908)，山东省无线通信技术重点实验室开放课题(SDKLWCT-2019-04)
详细信息
作者简介: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
徐勇军：男，1986年生，副教授，硕士生导师，研究方向为异构无线网络资源分配
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
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:2019-06-07
修回日期:2020-01-18
网络出版日期:2020-02-20
刊出日期:2020-06-04
Interference Efficiency-based Base Station Selection and Power Allocation Algorithm for Multi-cell Heterogeneous Wireless Networks
Guoquan LI1,Yongjun XU1, 2,,,
Qianbin CHEN1
1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2. Shandong Provincial Key Laboratory of Wireless Communication Technologies, Shandong University, Jinan 250100, China
Funds:The National Natural Science Foundation of China (61601071), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN201800606), The Natural Science Foundation of Chongqing (cstc2019jcyj-msxmX0666, cstc2019jcyj-xfkxX0002), The Chongqing Science and Technology Innovation Leading Talent Support Program (CSTCCXLJRC201908), The Open Research Fund from Shandong Provincial Key Laboratory of Wireless Communication Technologies (SDKLWCT-2019-04)
摘要
摘要:针对多蜂窝多用户异构无线网络干扰管理和效率提升问题，该文研究了基于干扰效率最大的下行链路基站(BS)-用户匹配和功率分配问题。首先，考虑宏用户和微蜂窝用户的服务质量，将问题建模为多变量混合整数非线性规划问题。其次将原问题分解为基站选择和功率分配两个子问题。针对基站选择问题，利用凸优化问题获得最优基站选择策略；针对功率分配问题，利用二次变换法和Dinkelbach辅助变量法，将功率分配问题转换为凸优化问题求解。仿真结果表明，与现有算法对比，该算法具有较好的干扰效率和干扰控制性能。
关键词:异构无线网络/
干扰效率/
资源分配/
基站选择
Abstract:To solve interference management and efficiency improvement of multi-cell multi-user heterogeneous wireless networks, the downlink Base Station (BS)-user matching and power allocation problem are studied to maximize the interference efficiency of femtocells. Firstly, consideration of quality of service of macro cell users and femtocell users, the problem is formulated as a multivariate mixed integer nonlinear programming problem. Secondly, the problem is decomposed into two subproblems. The BS selection problem is solved by convex optimization technique. The power allocation problem is firstly converted into a convex one by using quadratic transformation method and Dinkelbach approach, then the problem is resolved by using Lagrange dual methods and subgradient methods. Simulations results show the effectiveness of the proposed algorithm by comparing with the existing algorithms in terms of interference efficiency and interference management.
Key words:Heterogeneous wireless networks/
Interference efficiency/
Resource allocation/
Base Station (BS) selection
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