A New Intelligent Approach Based on Genetic Algorithm for Finding Optimal Base Stations Configuration in the Dynamic Scenario Used in SON

Abstract:

The problem of automatic selection and configuration of base station sites in the dynamic scenario is investigated. We propose a intelligent approach based on Genetic Algorithm used to adjust the level of the antenna power and select the base stations’ site from the candidate sites. According to the users’ density the base stations adjust their antenna radiated power automatically. Results are given that most of base stations are powered off when the density becomes very low, and show that it will save lots of energy resources. Since this algorithm can adjust the status of base stations intelligently and automatically, it can be used in SON.

• Periodical: Applied Mechanics and Materials (Volumes 121-126)
• Pages: 4325-4329
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.121-126.4325
• Online since: October 2011
• Authors: Qian Bin Chen, Yang Wang, Zhan Jun Liu, Cheng Chao Liang
• Keywords: Automatic Selection, Genetic Algorithm (GA), Minimum Power, Optimal Configuration, SON

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