Multi-objective Optimization Deployment Algorithm for 5G Ultra-Dense Networks

被引：0

作者：

Li, Yun-Zhe ^{[1
]}

Chien, Wei-Che ^{[2
]}

Chao, Han-Chieh ^{[3
]}

Cho, Hsin-Hung ^{[1
]}

机构：

[1] Natl Ilan Univ, Dept Comp Sci & Informat Engn, Yilan, Taiwan

[2] Natl Dong Hwa Univ, Dept Comp Sci & Informat Engn, Hualien, Taiwan

[3] Natl Dong Hwa Univ, Dept Elect Engn, Hualien, Taiwan

来源：

BIO-INSPIRED INFORMATION AND COMMUNICATIONS TECHNOLOGIES, BICT 2021 | 2021年 / 403卷

关键词：

Multi-objective optimization; 3D base station deployment; NSGA-II; COVERAGE;

D O I：

10.1007/978-3-030-92163-7_1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Due to insufficient spectrum resources, B5G and 6G will adopt millimeter waves for data transmission. Due to the poor physical characteristics of millimeter-wave diffraction ability, a large number of base stations are required for deployment, forming ultra-dense networks. Regarding the deployment of base stations, the first problem faced by operators is how to optimize the deployment of base stations in consideration of deployment costs, coverage rates and other factors. This research focuses on multi-objective three-dimensional (3D) small cell deployment optimization for B5G mobile communication networks (B5G). An optimized deployment mechanism based on NSGA-II is proposed. The simulation results show that, compared with NSGA-II, the deployment cost of this method is slightly higher, but it has achieved better results in terms of coverage and RSSI indicators.

引用

页码：3 / 14

页数：12

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