通信学报 ›› 2017, Vol. 38 ›› Issue (1): 16-25.doi: 10.11959/j.issn.1000-436x.2017003

• 学术论文 • 上一篇    下一篇

Femtocell网络中基于分簇的资源分配机制

张海波1,2,邹剑1,刘开健1,陈善学1   

  1. 1 重庆邮电大学移动通信技术重庆市重点实验室,重庆 400065
    2 北卡罗来纳州立大学电子与计算机工程系,美国 罗利 27695
  • 修回日期:2016-12-05 出版日期:2017-01-01 发布日期:2017-01-23
  • 作者简介:张海波(1979-),男,重庆人,博士,重庆邮电大学副教授、硕士生导师,主要研究方向为无线资源管理。|邹剑(1990-),男,重庆人,重庆邮电大学硕士生,主要研究方向为无线资源管理。|刘开健(1981-),女,重庆人,重庆邮电大学讲师,主要研究方向为无线资源分配与优化。|陈善学(1966-),男,安徽合肥人,博士,重庆邮电大学教授、硕士生导师,主要研究方向为通信网络优化。
  • 基金资助:
    国家自然科学基金资助项目(61301122);国家自然科学基金资助项目(61102062);国家自然科学基金资助项目(61271260);重庆市基础与前沿基金资助项目(cstc2014jcyjA40052);长江学者和创新团队发展计划基金资助项目(IRT16R72)

Cluster-based resource allocation mechanism for Femtocell network

Hai-bo ZHANG1,2,Jian ZOU1,Kai-jian LIU1,Shan-xue CHEN1   

  1. 1 Chongqing Key Lab of Mobile Communications Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
    2 Department of Electrical and Computer Engineering,North Carolina State University,Raleigh 27695,USA
  • Revised:2016-12-05 Online:2017-01-01 Published:2017-01-23
  • Supported by:
    The National Natural Science Foundation of China(61301122);The National Natural Science Foundation of China(61102062);The National Natural Science Foundation of China(61271260);The Natural Science Foundation Project of Chongqing(NSF of Chongqing)(cstc2014jcyjA40052);Program for Changjiang Scholars and Innovative Research Team in University(IRT16R72)

摘要:

针对Macro-Femto网络中Femtocell与Macrocell之间的干扰问题,提出了一种基于分簇的资源分配机制。该机制结合图论及凸优化理论对毫微微节点分簇;随后采用基于速率公平的子信道分配算法对毫微微用户和宏用户分别进行子信道分配;利用分布式功率分配算法对完成信道分配的系统进行功率分配。仿真结果表明,该机制有效地抑制了Macro-Femto网络中存在的跨层干扰及同层干扰,提升了平均速率,同时满足了用户的速率公平性需求,使用户获得更高的满意度。

关键词: 资源分配, 凸优化, 分簇, 功率分配, 毫微微小区

Abstract:

A based-cluster resource allocation mechanism was proposed for suppressing interference between Femtocell and Macrocell in Macro-Femto network.The mechanism included three parts,FBS was put in disjoint clusters by graph theory and convex optimization,then a sub-channel allocation algorithm was adopted to assign sub-channel to the FUE and MUE based on fairness of rate.In the end,power allocation was performed by using distributed algorithm.Simulation results show that the proposed mechanism effectively suppresses cross-tier and co-tier interference in the Macro-Femto network,improves the average rate,meanwhile satisfies the requirements of fairness of rate,which makes users more satisfied.

Key words: resource allocation, convex optimization, cluster, power allocation, Femtocell

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