Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
The frontiers of deep reinforcement learning for resource management in future wireless HetNets: Techniques, challenges, and research directions
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …
massive heterogeneity in terms of the types of network architectures they incorporate, the …
Deep reinforcement learning for radio resource allocation and management in next generation heterogeneous wireless networks: A survey
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …
massive heterogeneity in terms of the types of network architectures they incorporate, the …
Toward AI-Enabled Green 6G Networks: A Resource Management Perspective
N Alhussien, TA Gulliver - IEEE Access, 2024 - ieeexplore.ieee.org
The development of 6G wireless networks is driven by the pressing need for reliable
connectivity in the increasingly intelligent Internet of Things (IoT) ecosystem. The goal of …
connectivity in the increasingly intelligent Internet of Things (IoT) ecosystem. The goal of …
Distributed DRL-based downlink power allocation for hybrid RF/VLC networks
Hybrid radio frequency (RF) and visible light communication (VLC) networks can provide
high throughput and energy efficiency with VLC access points (APs) while ensuring …
high throughput and energy efficiency with VLC access points (APs) while ensuring …
Hierarchical multi-agent DRL-based framework for joint multi-RAT assignment and dynamic resource allocation in next-generation HetNets
This article considers the problem of cost-aware downlink sum-rate maximization via joint
optimal radio access technologies (RATs) assignment and power allocation in next …
optimal radio access technologies (RATs) assignment and power allocation in next …
Dual objective bandit for best channel selection in hybrid band wireless systems
This paper manipulates a creative online learning solution for optimal band/channel
assignment in hybrid radio frequency and visible light communication (RF/VLC) systems …
assignment in hybrid radio frequency and visible light communication (RF/VLC) systems …
Federated Reinforcement Learning with Knowledge Transfer for Network Selection in Hybrid WiFi-VLC Networks
AM Alenezi, KA Hamdi - IEEE Transactions on Artificial …, 2023 - ieeexplore.ieee.org
The dramatic growth of mobile data demand may impose a heavy traffic burden in indoor
environments such that conventional radio frequency wireless networks might not be …
environments such that conventional radio frequency wireless networks might not be …
A Survey on Machine and Deep Learning for Optical Communications
MA Amirabadi, SA Nezamalhosseini… - arXiv preprint arXiv …, 2024 - arxiv.org
The ever-growing complexity of optical communication systems and networks demands
sophisticated methodologies to extract meaningful insights from vast amounts of …
sophisticated methodologies to extract meaningful insights from vast amounts of …
Reinforcement learning-based resource allocation for dynamic aggregated WiFi/VLC HetNet
L Luo, B Bai, X Zhang, G Han - Optics Communications, 2024 - Elsevier
High transmission rates and low power consumption make visible light communication
(VLC) a highly promising supplementary technology for the next generation of mobile …
(VLC) a highly promising supplementary technology for the next generation of mobile …