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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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Hoofdauteurs: Yosvany Hervis Santana, Rodney Martinez Alonso, Glauco Guillen Nieto, Luc Martens, Wout Joseph, David Plets
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2022-04-01
Reeks:Applied Sciences
Onderwerpen:
5G
genetic algorithm
indoor environment
machine learning
network planning
path loss
Online toegang:https://www.mdpi.com/2076-3417/12/8/3923
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