Spectrum Allocation for Hyper-Dense Small Cell Networks: A Partially-Distributed Approach

被引:0
|
作者
Qiu, Junfei [1 ]
Du, Zhiyong [1 ]
Sun, Youming [2 ]
Wu, Ducheng [1 ]
机构
[1] PLA Univ Sci & Technol, Coll Commun Engn, Nanjing 210007, Jiangsu, Peoples R China
[2] Natl Digital Switching Syst Engn & Technol Res Ct, Zhengzhou 450000, Peoples R China
关键词
Small cells; Spectrum allocation; Clustering; Q-learning; SCHEME;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we investigate the problem of spectrum allocation for small cell networks with dense deployment of access points in large quantities. Since the formulated problem is intractable in the context of large-scale networks, finding the optimal solution is very complex. To tackle this issue, here, we develop a partially-distributed approach to achieve desirable performance. Specifically, the proposed scheme mainly consists of three phases: dividing network into disjoint clusters, sub-channel assignment within each cluster and interference elimination among clusters. Finally, numerical results show that the partially-distributed solution outperforms some existing approaches. Meanwhile, the proposed scheme can achieve desirable performance, which is close to that of the global optimization method, with a faster convergence speed.
引用
收藏
页码:913 / 919
页数:7
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