A review on rain signal attenuation modeling, analysis and validation techniques: Advances, challenges and future direction
Radio waves are attenuated by atmospheric phenomena such as snow, rain, dust, clouds,
and ice, which absorb radio signals. Signal attenuation becomes more severe at extremely …
and ice, which absorb radio signals. Signal attenuation becomes more severe at extremely …
Radial basis function neural network path loss prediction model for LTE networks in multitransmitter signal propagation environments
Path loss prediction models occupy a central role in wireless signal propagation because of
the continuous need to achieve reliable and high quality of service for subscribers …
the continuous need to achieve reliable and high quality of service for subscribers …
Opportunities and challenges of bridging the digital divide using 5G enabled high altitude platforms and TVWS spectrum
Like with the past generations of mobile cellular networks, deployment of 5G services in
rural areas are expected to be financially and technically challenging. Currently, researchers …
rural areas are expected to be financially and technically challenging. Currently, researchers …
Optimal model for path loss predictions using feed-forward neural networks
In this paper, an optimal model is developed for path loss predictions using the Feed-
Forward Neural Network (FFNN) algorithm. Drive test measurements were carried out in …
Forward Neural Network (FFNN) algorithm. Drive test measurements were carried out in …
Path loss predictions in the VHF and UHF bands within urban environments: Experimental investigation of empirical, heuristics and geospatial models
Deep knowledge of how radio waves behave in a practical wireless channel is required for
effective planning and deployment of radio access networks in urban environments …
effective planning and deployment of radio access networks in urban environments …
An ensemble machine learning approach for enhanced path loss predictions for 4G LTE wireless networks
Accurate path loss prediction models are indispensable in modern wireless communication
systems. In recent times, several path loss prediction models have been proposed to …
systems. In recent times, several path loss prediction models have been proposed to …
Investigation of path loss and modeling for digital terrestrial television over Nigeria
A Akinbolati, MO Ajewole - Heliyon, 2020 - cell.com
Accurate prediction of path losses is a key factor in Digital Terrestrial Television (DTTV) to
ensure Quality of Service (QoS). This study investigates the path losses of three Digital …
ensure Quality of Service (QoS). This study investigates the path losses of three Digital …
[HTML][HTML] Path loss predictions for multi-transmitter radio propagation in VHF bands using Adaptive Neuro-Fuzzy Inference System
Path loss prediction is an important process in radio network planning and optimization
because it helps to understand the behaviour of radio waves in a specified propagation …
because it helps to understand the behaviour of radio waves in a specified propagation …
Improving accuracy for TVWS geolocation databases: Results from measurement-driven estimation approaches
A Achtzehn, J Riihijärvi… - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
Recent advances towards opening underutilized spectrum resources for secondary use rely
on geolocation databases to determine protection requirements of primary users. This paper …
on geolocation databases to determine protection requirements of primary users. This paper …
Large-scale radio propagation path loss measurements and predictions in the VHF and UHF bands
N Faruk, IY Abdulrasheed, NT Surajudeen-Bakinde… - Heliyon, 2021 - cell.com
For decades now, a lot of radio wave path loss propagation models have been developed
for predictions across different environmental terrains. Amongst these models, empirical …
for predictions across different environmental terrains. Amongst these models, empirical …