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Machine Learning-Based Small Cell Location Selection Process
Journal of Telecommunications and Information Technology
In this paper, the authors present an algorithm for determining the location of wireless network small cells in a dense urban environment. This algorithm uses machine learning, such as k-means clustering and spectral clustering, as well as a very accurate propagation channel created using the ray tracing method. The authors compared two approaches to the small cell location selection process -one based on the assumption that end terminals may be arbitrarily assigned to stations, and the otherdoi:10.26636/jtit.2021.151021 fatcat:qlago5ivmjhqflhtpvuq2ezqxa