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Machine Learning-Based Small Cell Location Selection Process
2021
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 other
doi:10.26636/jtit.2021.151021
fatcat:qlago5ivmjhqflhtpvuq2ezqxa