Differential Evolution: A review of more than two decades of research
Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …
frequently used algorithms for solving complex optimization problems. Its flexibility and …
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 …
Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …
a key enabler and a leading infrastructure provider in the information and communication …
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 …
RadioUNet: Fast radio map estimation with convolutional neural networks
In this paper we propose a highly efficient and very accurate deep learning method for
estimating the propagation pathloss from a point (transmitter location) to any point on a …
estimating the propagation pathloss from a point (transmitter location) to any point on a …
Artificial intelligence in 5G technology: A survey
MEM Cayamcela, W Lim - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
A fully operative and efficient 5G network cannot be complete without the inclusion of
artificial intelligence (AI) routines. Existing 4G networks with all-IP (Internet Protocol) …
artificial intelligence (AI) routines. Existing 4G networks with all-IP (Internet Protocol) …
Determination of neural network parameters for path loss prediction in very high frequency wireless channel
It is very important to understand the input features and the neural network parameters
required for optimal path loss prediction in wireless communication channels. In this paper …
required for optimal path loss prediction in wireless communication channels. In this paper …
A UHF path loss model using learning machine for heterogeneous networks
M Ayadi, AB Zineb, S Tabbane - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we present and evaluate a new propagation model for heterogeneous
networks. The designed model is multiband, multienvironment, and is usable for short and …
networks. The designed model is multiband, multienvironment, and is usable for short and …
Digital twin-based optimization for ultraprecision motion systems with backlash and friction
A digital twin-based optimization procedure is presented for an ultraprecision motion system
with a flexible shaft connecting the motor to the (elastic) load, which is subject to both …
with a flexible shaft connecting the motor to the (elastic) load, which is subject to both …
Predicting path loss distribution of an area from satellite images using deep learning
Path loss prediction is essential for network planning in any wireless communication system.
For cellular networks, it is usually achieved through extensive received signal power …
For cellular networks, it is usually achieved through extensive received signal power …