A Coverage-Based Location Approach and Performance Evaluation for the Deployment of 5G Base Stations

• Published in: IEEE access Vol. 8; pp. 123320 - 123333
• Main Authors: Wang, Chia-Hung, Lee, Chia-Jung, Wu, Xiaojing
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 5G mobile communication; 5G network optimization; algorithm design and analysis; Base stations; computational intelligence; Cost benefit analysis; decision making; heterogeneous network; Investment; Optimization; Performance evaluation; Quality of service; Radio equipment; Signal strength; Site selection; Stations; Wireless networks
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.3006733

It has become a strategic consensus of the international community for accelerating the deployment of 5G network. This paper presents an approach for the deployment of 5G base stations under the considerations of both the cost and the signal coverage. We formulate an optimization problem for the site selection and location of 5G macro and micro base stations. An implementation procedure is proposed in the paper for the cooperative operation and deployment scheme of optimizing the location of 5G heterogeneous base stations, which aims to optimally reduce the setup cost and strengthen the signal coverage while deploying 5G base stations. A series of numerical examples are solved in the paper to demonstrate the proposed approach, and a cost-benefit analysis is also conducted to determine the optimal deployment plan for the number of macro and micro base stations. In the conclusion, a balanced executable solution is presented to make the signal strength of all demand points in the studied 5G network reach the strongest under the budget constraint.