Large scale survey for radio propagation in developing machine learning model for path losses in communication systems

Large scale survey for radio propagation in developing machine learning model for path losses in communication systems

Several orthodox approaches, such as empirical methods and deterministic methods, had earlier been used for the prediction of path loss in wireless communication systems. These approaches are either inefficient or complex. Robustness and performance motivated the adoption of machine learning for mod...

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Bibliographic Details
Main Authors: Haruna Chiroma, Ponman Nickolas, Nasir Faruk, Emmanuel Alozie, Imam-Fulani Yusuf Olayinka, Kayode S. Adewole, Abubakar Abdulkarim, Abdulkarim A. Oloyede, Olugbenga A. Sowande, Salisu Garba, Aliyu D. Usman, Lawan S. Taura, Yinusa A. Adediran
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Scientific African
Subjects:
Path loss modeling
5G wireless communication systems
Deep learning
Artificial neural network
Feature engineering
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227623000091

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http://www.sciencedirect.com/science/article/pii/S2468227623000091

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