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超密集小峰窝网中基于干扰协调的小区分簇和功率分配算法 被引量:19

Interference Coordination-based Cell Clustering and Power Allocation Algorithm in Dense Small Cell Networks
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摘要 干扰的有效管理是超密集小蜂窝网中的一个研究难点。该文提出将超密集小蜂窝网中的小区干扰协调和分簇相结合的算法,通过分配最优的功率降低干扰,最大化系统吞吐量。根据干扰的程度,将干扰强的小蜂窝划为一个簇,同一个簇内的小蜂窝共享频谱资源,协作为用户服务,簇与簇之间实现频谱复用。仿真结果表明,该算法在网络密集部署时,有效地减小干扰,提高系统吞吐量。 Effective interference management is one of research difficulties in dense small cell network. This paper proposes a new algorithm in which inter-cell interference is combined with clustering. And the system achieves maximizing system throughput by the optimal power allocation. According to the degree of interference, the cells are divided into several clusters and the cells with the bigger inter-cell interference are divided in the same cluster. The cells within a cluster share the spectrum and serve the user terminals with cooperation and the cells within different clusters may reuse the spectrum. Simulation results show that the proposed algorithm can effectively decrease the interference and improve system throughput in densely deployed small networks.
出处 《电子与信息学报》 EI CSCD 北大核心 2016年第5期1173-1178,共6页 Journal of Electronics & Information Technology
基金 国家自然科学基金(61372125) 973计划(2013CB329104) 国家863计划(2015AA01A705) 东南大学移动通信国家重点实验室开放研究基金(2013D01)~~
关键词 超密集网络 分簇 功率分配 干扰管理 Dense small cell network Clustering Power allocation Interference management
作者简介 通信作者:朱晓荣xrzhu@njupt.edu.cn,朱晓荣:女,1977年生,博士,教授,研究方向为超密集无线网络、异构网络、无线传感器网络. 朱蔚然:女,1991年生,硕士生,研究方向为超密集无线网络
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