Indoor Genetic Algorithm-Based 5G Network Planning Using a Machine Learning Model for Path Loss Estimation

Accurate wireless network planning is crucial for the deployment of new wireless services. This usually requires the consecutive evaluation of many candidate solutions, which is only feasible for simple path loss models, such as one-slope models or multi-wall models. However, such path loss models a...

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Autors principals:	Yosvany Hervis Santana, Rodney Martinez Alonso, Glauco Guillen Nieto, Luc Martens, Wout Joseph, David Plets
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-04-01
Col·lecció:	Applied Sciences
Matèries:	5G genetic algorithm indoor environment machine learning network planning path loss
Accés en línia:	https://www.mdpi.com/2076-3417/12/8/3923
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