Research Article
Multi-objective Optimization Deployment Algorithm for 5G Ultra-Dense Networks
@INPROCEEDINGS{10.1007/978-3-030-92163-7_1, author={Yun-Zhe Li and Wei-Che Chien and Han-Chieh Chao and Hsin-Hung Cho}, title={Multi-objective Optimization Deployment Algorithm for 5G Ultra-Dense Networks}, proceedings={Bio-Inspired Information and Communications Technologies. 13th EAI International Conference, BICT 2021, Virtual Event, September 1--2, 2021, Proceedings}, proceedings_a={BICT}, year={2022}, month={1}, keywords={Multi-objective optimization 3D base station deployment NSGA-II}, doi={10.1007/978-3-030-92163-7_1} }- Yun-Zhe Li
Wei-Che Chien
Han-Chieh Chao
Hsin-Hung Cho
Year: 2022
Multi-objective Optimization Deployment Algorithm for 5G Ultra-Dense Networks
BICT
Springer
DOI: 10.1007/978-3-030-92163-7_1
Abstract
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.
