Abstract
The exponential growth in the tele-density in India and around the world has put forth a lot of challenges for the network operators. The customers look for good signal reception, fast data speeds, and call quality while choosing their cell phone operators. The aim of this study is to obtain an optimum number of telecommunications towers using data science algorithms like mean shift, SVM classification, and K-means algorithm and practically implemented it using Android application. We propose a new method for optimizing the position of cell towers to get the coverage area of the widest service through three stages: Clustering, classification, and positioning. The proposed cell phone tower placement scheme involves data extraction from cell phone users through an Android application and the analysis of the data to obtain a set of possible candidate sites for establishing a base station.
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Agarwal, H., Tejaswi, B., Bhattacharya, D. (2019). A Practical Implementation of Optimal Telecommunication Tower Placement Strategy Using Data Science. In: Panigrahi, C., Pujari, A., Misra, S., Pati, B., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 714. Springer, Singapore. https://doi.org/10.1007/978-981-13-0224-4_30
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DOI: https://doi.org/10.1007/978-981-13-0224-4_30
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