S Ojo, A Sari, TP Ojo - Open Journal of Applied Sciences, 2022 - scirp.org
Path loss prediction models are vital for accurate signal propagation in wireless channels. Empirical and deterministic models used in path loss predictions have not produced optimal …
M Piacentini, F Rinaldi - Computational Management Science, 2011 - Springer
Path loss prediction is a crucial task for the planning of networks in modern mobile communication systems. Learning machine-based models seem to be a valid alternative to …
Y Zhang, J Wen, G Yang, Z He, J Wang - Applied Sciences, 2019 - mdpi.com
Path loss prediction is of great significance for the performance optimization of wireless networks. With the development and deployment of the fifth-generation (5G) mobile …
The propagation of radio waves in a built-up area is of great importance for the design of a mobile communication network and the Path Loss (PL) of the transmitted power is one of the …
This paper presents an alternative procedure for the prediction of propagation path loss in urban environments. It is based on Neural Network (NN) algorithms and uses the detailed …
L Klozar, J Prokopec - Proceedings of 21st International …, 2011 - ieeexplore.ieee.org
Signal propagation and path losses are the key elements of wireless network design. This paper describes tuning process of empirical propagation path loss models for typical …
In optimization of wireless networks, path loss prediction is of great importance for adequate planning and budgeting in wireless communications. For efficient and reliable …
This work presents the results of the studies concerning the application of the neural networks to the propagation path loss prediction in indoor environment. The proposed …
Path loss propagation models are critically needed for optimum planning and deployment of wireless communication networks. However, the complexity exhibited by the propagated …