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超密集网络中一种改进的分簇及资源分配方案
引用本文:许焱平,贾文杰,李晓静,张长森,田心记. 超密集网络中一种改进的分簇及资源分配方案[J]. 北京邮电大学学报, 2019, 42(2): 77-82. DOI: 10.13190/j.jbupt.2018-095
作者姓名:许焱平  贾文杰  李晓静  张长森  田心记
作者单位:河南理工大学物理与电子信息学院,河南焦作,454000;黄河科技学院信息工程学院,郑州,450000
基金项目: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基金项目(KY2015-01);河南省高校基本科研业务费专项资金项目(NSFRF140126)
摘    要:为了减少超密集网络中小区间的干扰,提出了一种改进的分簇及资源分配方案.首先,根据小基站间的路径损耗程度构造损耗图,基于损耗图选出簇头并且分簇,将路径损耗之和较小的小基站放在一个簇中,每个簇中小基站的数量不超过子信道的数量;然后,根据簇内的用户在每个子信道上的信干噪比依次为每个簇的用户分配正交的子信道;最后,优化功率分配,以提高吞吐量.仿真结果显示,与相同场景中的已有方案相比,所提方案更加均匀地将小基站分布在每个簇中,并且显著提高了系统吞吐量.

关 键 词:超密集网络  分簇  资源分配  路径损耗  信干噪比
收稿时间:2018-05-19

An Improved Clustering and Resource Allocation Scheme for Ultra-Dense Networks
XU Yan-ping,JIA Wen-jie,LI Xiao-jing,ZHANG Chang-sen,TIAN Xin-ji. An Improved Clustering and Resource Allocation Scheme for Ultra-Dense Networks[J]. Journal of Beijing University of Posts and Telecommunications, 2019, 42(2): 77-82. DOI: 10.13190/j.jbupt.2018-095
Authors:XU Yan-ping  JIA Wen-jie  LI Xiao-jing  ZHANG Chang-sen  TIAN Xin-ji
Affiliation: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
Abstract:An improved clustering and resource allocation scheme was proposed for ultra-dense network in order to reduce the interference among small cells. Firstly, a loss graph was constructed according to the path loss among the small base stations, and the cluster head was selected based on the loss graph. Small base stations with the smaller sum of path loss were divided into the one cluster in which the number of small base stations was no more than the number of subchannels. Then, orthogonal subchannels were allocated to users in each cluster according to the signal to interference plus noise ratio on each subchannel of each user in the cluster. Finally, power allocation was optimized to improve throughput. Simulation results show that compared with the existed schemes in the same scenario, the small base stations are more evenly distributed in each cluster, so that the system throughput is improved significantly.
Keywords:ultra-dense networks  clustering  resource allocation  path loss  signal to interference plus noise ratio  
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