Evolution of non-terrestrial networks from 5G to 6G: A survey
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the
recent technological advancements and manufacturing cost reduction opened up myriad …
recent technological advancements and manufacturing cost reduction opened up myriad …
A tutorial on environment-aware communications via channel knowledge map for 6G
Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
Artificial intelligence for satellite communication: A review
F Fourati, MS Alouini - Intelligent and Converged Networks, 2021 - ieeexplore.ieee.org
Satellite communication offers the prospect of service continuity over uncovered and under-
covered areas, service ubiquity, and service scalability. However, several challenges must …
covered areas, service ubiquity, and service scalability. However, several challenges must …
From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …
demand for even faster communication networks, we expected to witness the birth of a new …
Artificial neural network based path loss prediction for wireless communication network
Accurate path loss (PL) prediction is essential for predicting transmitter coverage and
optimizing wireless network performance. Traditional PL models are difficult to cope with the …
optimizing wireless network performance. Traditional PL models are difficult to cope with the …
An overview of machine learning techniques for radiowave propagation modeling
We give an overview of recent developments in the modeling of radiowave propagation,
based on machine learning (ML) algorithms. We identify the input and output specification …
based on machine learning (ML) algorithms. We identify the input and output specification …
Development of a multilayer perceptron neural network for optimal predictive modeling in urban microcellular radio environments
Modern cellular communication networks are already being perturbed by large and steadily
increasing mobile subscribers in high demand for better service quality. To constantly and …
increasing mobile subscribers in high demand for better service quality. To constantly and …
Radio map estimation: A data-driven approach to spectrum cartography
Radio maps characterize quantities of interest in radio communication environments, such
as the received signal strength and channel attenuation, at every point of a geographical …
as the received signal strength and channel attenuation, at every point of a geographical …
Machine-learning-based 3-D channel modeling for U2V mmWave communications
Unmanned aerial vehicle (UAV) millimeter wave (mmWave) technologies can provide
flexible link and high data rate for future communication networks. By considering the new …
flexible link and high data rate for future communication networks. By considering the new …
Toward greener 5G and beyond radio access networks—A survey
LMP Larsen, HL Christiansen, S Ruepp… - IEEE Open journal of …, 2023 - ieeexplore.ieee.org
Mobile network traffic is increasing and so is the energy consumption. The Radio Access
Network (RAN) part is responsible for the largest share of the mobile network energy …
Network (RAN) part is responsible for the largest share of the mobile network energy …