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http://dx.doi.org/10.6109/jkiice.2022.26.9.1357

Rapid Self-Configuration and Optimization of Mobile Communication Network Base Station using Artificial Intelligent and SON Technology  

Kim, Jaejeong (Innowireless Co., Ltd.)
Lee, Heejun (Innowireless Co., Ltd.)
Ji, Seunghwan (Innowireless Co., Ltd.)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.9, 2022 , pp. 1357-1366 More about this Journal
Abstract
It is important to quickly and accurately build a disaster network or tactical mobile communication network adapting to the field. In configuring the traditional wireless communication systems, the parameters of the base station are set through cell planning. However, for cell planning, information on the environment must be established in advance. If parameters which are not appropriate for the field are used, because they are not reflected in cell planning, additional optimization must be carried out to solve problems and improve performance after network construction. In this paper, we present a rapid mobile communication network construction and optimization method using artificial intelligence and SON technologies in mobile communication base stations. After automatically setting the base station parameters using the CNN model that classifies the terrain with path loss prediction through the DNN model from the location of the base station and the measurement information, the path loss model enables continuous overage/capacity optimization.
Keywords
Mobile Communication Network; SON(Self-Organization Network); AI(Artificial Intelligence); Tactical Network; Public Safety Network;
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