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 …
Secure transmission scheme based on joint radar and communication in mobile vehicular networks
Vehicle-to-vehicle (V2V) communication applications face significant challenges to security
and privacy since all types of possible breaches are common in connected and autonomous …
and privacy since all types of possible breaches are common in connected and autonomous …
A review–unguided optical communications: Developments, technology evolution, and challenges
This review paper discusses the complete evolution of free-space optical (FSO)
communication, also known as unguided optical communication (UOC) technologies, all the …
communication, also known as unguided optical communication (UOC) technologies, all the …
Joint access point assignment and power allocation in multi-tier hybrid RF/VLC HetNets
This paper investigates the joint problem of access point (AP) assignment and power
allocation (PA) in a three-tier hybrid radio frequency/visible light communication (VLC) …
allocation (PA) in a three-tier hybrid radio frequency/visible light communication (VLC) …
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 …
Reinforcement learning-based near-optimal load balancing for heterogeneous LiFi WiFi network
Owing to the nonoverlapping spectrum, light fidelity (LiFi) and WiFi technologies can coexist
and form a heterogeneous LiFi WiFi network (HLWN). The performance of HLWN …
and form a heterogeneous LiFi WiFi network (HLWN). The performance of HLWN …
Deep Q-network learning based downlink resource allocation for hybrid RF/VLC systems
Developing high data rate systems to meet the requirements of fifth generation mobile
systems has become crucial. Hybrid radio frequency/visible light communication (RF/VLC) …
systems has become crucial. Hybrid radio frequency/visible light communication (RF/VLC) …
A reinforcement-learning-based beam adaptation for underwater optical wireless communications
I Romdhane, G Kaddoum - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Underwater optical wireless communications (UOWCs) have recently appeared as an
attractive solution for many applications, such as remote controlling and sensing due to its …
attractive solution for many applications, such as remote controlling and sensing due to its …
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 …