北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2019, Vol. 42 ›› Issue (3): 72-78.doi: 10.13190/j.jbupt.2018-208

• 论文 • 上一篇    下一篇

UDN中基于JR-CoMP的分簇和资源分配方案

田心记1, 张浩天1, 李晓静2, 张长森1   

  1. 1. 河南理工大学 物理与电子信息学院, 河南 焦作 454000;
    2. 黄河科技学院 信息工程学院, 郑州 450000
  • 收稿日期:2018-09-03 出版日期:2019-06-28 发布日期:2019-06-20
  • 通讯作者: 张长森(1969-),男,教授,E-mail:zhangchangsen@hpu.edu.cn. E-mail:zhangchangsen@hpu.edu.cn
  • 作者简介:田心记(1983-),女,副教授,E-mail:tian215216@sohu.com.
  • 基金资助:
    河南省科技攻关项目(172102210023);河南省高等学校矿山信息化重点学科开放实验室开放课题(KY2015-01);河南省省属高校基本科研业务费专项资金项目(NSFRF140126)

JR-CoMP-Based Clustering and Resource Allocation Scheme in UDN

TIAN Xin-ji1, ZHANG Hao-tian1, LI Xiao-jing2, ZHANG Chang-sen1   

  1. 1. School of Physics and Electronic Information Engineering, Henan Polytechnic University, Henan Jiaozuo 454000, China;
    2. School of Information Engineering, Huanghe S & T University, Zhengzhou 450000, China
  • Received:2018-09-03 Online:2019-06-28 Published:2019-06-20

摘要: 针对超密集网络(UDN)中的上行干扰问题,提出了一种基于多点协作联合接收(JR-CoMP)的分簇与资源分配方法.首先,将用户和基站进行单频段分簇,将同一小小区的多个边缘用户放在不同的用户簇中,将位于相邻小小区并且距离较近的边缘用户放在同一个用户簇中,根据中心用户到已有基站簇的干扰强度将其归簇;然后,对用户簇进行多重子频段分配,为包含同一个小小区用户的多个簇分配不同的子频段,并且尽量为每个用户簇多分配子频段;最后,以最大化系统总传输速率为目标,采用注水算法为每个用户分配功率.仿真结果显示,所提方案能显著提高频谱效率.

关键词: 超密集网络, 多点协作, 联合接收, 分簇, 资源分配

Abstract: For uplink interference problem in ultra dense networks(UDN), a joint clustering and resource allocation scheme is proposed based on coordinated multiple point joint reception(JR-CoMP). Firstly, users and small base stations are divided into several clusters according to the uni-subband clustering. The multiple edge users in the same small cell are assigned to different user clusters. The users at the close edge of the adjacent small cell are assigned to the same cluster. The cell-center users are clustered according to the interference intensity of them to the existing base station clusters. Then, multi-sub band allocation is performed for user clusters. The user clusters containing the same small cell users are allocated different sub-bands, and the number of allocated sub-bands for each user clusters is as much as possible. Finally, the water-filling algorithm is used to allocate appropriate power to each user with the goal of maximizing the total transmission rate of the system. Simulation results show that spectral efficiency can be significantly improved by the proposed scheme.

Key words: ultra dense networks, coordinated multiple point, joint reception, clustering, resource allocation

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