Statistical characterization and modeling of radio frequency signal propagation in mobile broadband cellular next generation wireless networks
An accurate assessment of the spatial and temporal radio frequency channel characteristics
is essential for complex signal processing and cellular network optimization. Current …
is essential for complex signal processing and cellular network optimization. Current …
A Quasi-Moment-Method empirical modelling for pathloss prediction
S Adekola, A Ayorinde, F Okewole… - International Journal of …, 2022 - Taylor & Francis
The main objective of this paper is to introduce a novel approach to empirical modelling for
the prediction of propagation pathloss, in wireless radio communication systems. The …
the prediction of propagation pathloss, in wireless radio communication systems. The …
Deep learning-based path loss prediction model for 5G mmWave
The proliferation of wireless devices that utilize the 5G mmWave technology continues to stir
several design requirements for optimizing performance. However, mitigating the underlying …
several design requirements for optimizing performance. However, mitigating the underlying …
Path Loss Models in Dense Urban Areas: A study of Lagos Island, Nigeria
SK Hinga, T Ogunfunmi - 2023 28th Asia Pacific Conference on …, 2023 - ieeexplore.ieee.org
Path loss is a major factor affecting the performance of wireless networks in dense urban
areas. This paper investigates the path loss models in Lagos Island, Nigeria, a dense urban …
areas. This paper investigates the path loss models in Lagos Island, Nigeria, a dense urban …
[CITATION][C] Application of GMDH-type Neural Network for Pathloss Predictions
AU USMAN, A Ozovehe - 2019 - Innovative Solutions in Engineering …
[CITATION][C] Path-loss Model Prediction for Urban and/or Rural Areas in Nigeria using ANFIS
CM Chukwuma