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Dai, L. and Zhang, H. (2020) Propagation-Model-Free Base Station Deployment for Mobile Networks: Integrating Machine Learning and Heuristic Methods. IEEE Access, 8, 83375-83386.
https://doi.org/10.1109/access.2020.2990631

has been cited by the following article:

• TITLE: Telecommunications and Energy Infrastructure Sharing: Technical and Socio-Economic Impact Analysis in a Multi-Operator Environment in Burundi

  AUTHORS: Apollinaire Bigirimana, Jérémie Ndikumagenge, Sami Tabbane, Romeo Nibitanga, Hassan Kibeya

  KEYWORDS: Infrastructure Sharing, Mobile Telephony, Energy, Multi-Operators Environment, Technical and Socio-Economic Impact

  JOURNAL NAME: Journal of Computer and Communications, Vol.12 No.10, October 24, 2024

  ABSTRACT: The sharing of telecommunications infrastructure and power supply equipment is currently an applicable and very common model for grouping signal transmission and reception equipment and their power supply on the same site to ensure coverage of fixed, mobile, Internet and radio and television broadcasting networks. This study consists of producing an inventory of telecommunications and energy infrastructure sharing, focusing on the one hand on analyzing the impacts of active and passive sharing of telecommunications infrastructure from a technical point of view, particularly in terms of legal framework, deployment, coverage and exposure to electromagnetic radiation, and on the other hand on identifying the effects of infrastructure sharing from a socio-economic point of view in a multi-operator mobile telephony environment, by indicating the economic value of the revenue generated as a result of infrastructure sharing. Finally, the results will contribute to identify strategies for ensuring maximum deployment and coverage of the country, and for developing the information and communication technologies (ICT) sector in order to contribute to the digital transformation by digitising services using mobile telephony and the Internet in Burundi.