Hypergraph Spectral Clustering Based Spectrum Resource Allocation for Dense NOMA-HetNet

被引：15

作者：

Chen, Liang ^{[1
]}

Ma, Lin ^{[1
]}

Xu, Yubin ^{[1
]}

Leung, Victor C. M. ^{[2
]}

机构：

[1] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150001, Heilongjiang, Peoples R China

[2] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2019年 / 8卷 / 01期

基金：

中国国家自然科学基金;

关键词：

NOMA; spectrum resource allocation; hypergraph; densely deployment; spectral clustering; NONORTHOGONAL MULTIPLE-ACCESS; SUCCESSIVE INTERFERENCE CANCELLATION;

D O I：

10.1109/LWC.2018.2871553

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 letter, we propose a spectrum resource allocation algorithm in non-orthogonal multiple access heterogeneous network (NOMA-HetNet). We consider a dense two-tier HetNet consisting multiple macro base station (MBS) and multiple femto base stations (FBSs), which are very close to each other. All the MBS and FBSs are working in NOMA mode. Our hypergraph spectral clustering based method is proposed to deal with the serious cumulative interference. We aim at improving the system throughput with the prerequisite that all users' fairness in the same base station is guaranteed. We analyze the computation complexity of the algorithm. The simulation result shows that our algorithm can improve the system throughput with low computational complexity.

引用

页码：305 / 308

页数：4

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