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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

朱晓荣 朱蔚然

朱晓荣, 朱蔚然. 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[J]. 电子与信息学报, 2016, 38(5): 1173-1178. doi: 10.11999/JEIT150756
引用本文: 朱晓荣, 朱蔚然. 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[J]. 电子与信息学报, 2016, 38(5): 1173-1178. doi: 10.11999/JEIT150756
ZHU Xiaorong, ZHU Weiran. Interference Coordination-based Cell Clustering and Power Allocation Algorithm in Dense Small Cell Networks[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1173-1178. doi: 10.11999/JEIT150756
Citation: ZHU Xiaorong, ZHU Weiran. Interference Coordination-based Cell Clustering and Power Allocation Algorithm in Dense Small Cell Networks[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1173-1178. doi: 10.11999/JEIT150756

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

doi: 10.11999/JEIT150756
基金项目: 

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)

Interference Coordination-based Cell Clustering and Power Allocation Algorithm in Dense Small Cell Networks

Funds: 

The National Natural Science Foundation of China (61372125), The National 973 Project of China (2013CB 329104), The National 863 Project of China (2015AA01A705), The Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (2013D01)

  • 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。
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出版历程
  • 收稿日期:  2015-06-24
  • 修回日期:  2016-03-03
  • 刊出日期:  2016-05-19

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