Mobile Communication Network Base Station Deployment Under 5G
To cope with this challenge, many scholars have decided to adopt genetic algorithms (GA) and machine learning (ML) to optimize the base station deployment problem
To solve the problems of unreasonable deployment and high construction costs caused by the rapid increase of the fifth generation (5 G) base stations, this article proposes a 5 G base station deployment optimization method that considers coverage and cost weights for certain areas in Kowloon, Hong Kong.
A deployment scheme and cooperative operation for optimizing the location of 5G macro and micro base stations under the considerations of both the cost and signal coverag... References is not available for this document.
Gou et al. proposed an efficient micro base station deployment strategy by jointly optimizing the number, location, and power of micro base stations, optimizing trade-offs under different user distribution probabilities to enhance adaptability to various user distribution scenarios.
The construction of the 5G network in the communication system can potentially change future life and is one of the most cutting-edge engineering fields today. The 5G base station is the core equipment of the 5G network, and the performance of the base station directly affects the deployment of the 5G network.
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