Energy-efficient resource allocation for aggregated RF/VLC systems
Visible light communication (VLC) is envisioned as a core component of future wireless
communication networks due to, among other reasons, the very large unlicensed bandwidth …
communication networks due to, among other reasons, the very large unlicensed bandwidth …
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 …
Distributed Learning for 6G–IoT Networks: A Comprehensive Survey
Smart services based on the Internet of Things (IoT) are likely to grow in popularity in the
forthcoming years, necessitating the improvement of fifth-generation (5G) cellular networks …
forthcoming years, necessitating the improvement of fifth-generation (5G) cellular networks …
[HTML][HTML] Dynamic user resource allocation for downlink multicarrier NOMA with an actor–critic method
X Wang, K Meng, X Wang, Z Liu, Y Ma - Energies, 2023 - mdpi.com
Future wireless communication systems require higher performance requirements. Based
on this, we study the combinatorial optimization problem of power allocation and dynamic …
on this, we study the combinatorial optimization problem of power allocation and dynamic …
[HTML][HTML] HAP-assisted multi-aerial base station deployment for capacity enhancement via federated deep reinforcement learning
Aerial base stations (AeBSs), as crucial components of air-ground integrated networks, are
widely employed in cloud computing, disaster relief, and various applications. How to …
widely employed in cloud computing, disaster relief, and various applications. How to …
[HTML][HTML] Hypergraph convolution mix DDPG for multi-aerial base station deployment
Aerial base stations (AeBS), as crucial components of air-ground integrated networks, can
serve as the edge nodes to provide flexible services to ground users. Optimizing the …
serve as the edge nodes to provide flexible services to ground users. Optimizing the …
Adaptive target-condition neural network: DNN-aided load balancing for hybrid LiFi and WiFi networks
Load balancing (LB) is a key challenge in hybrid light fidelity (LiFi) and wireless fidelity
(WiFi) networks (HLWNets), due to the nature of heterogeneous access points (APs) …
(WiFi) networks (HLWNets), due to the nature of heterogeneous access points (APs) …
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 …
Transfer learning for resource allotment in dynamic hybrid WiFi/LiFi communication systems
T Verma, S Shrivastava, UD Dwivedi, DP Kothari - Optics Communications, 2023 - Elsevier
The demand of newer technologies for fifth generation mobile communication systems is
high in the current arena. A hybrid form of Free Space Optical (FSO) Communication, also …
high in the current arena. A hybrid form of Free Space Optical (FSO) Communication, also …
Energy Efficient Multi-aerial Base Station Deployment Via DDPG-Mix Algorithm
Compared to ground base stations, aerial base stations (AeBSs) offer advantages in terms
of overcoming limitations posed by complex terrain and transportation constraints, providing …
of overcoming limitations posed by complex terrain and transportation constraints, providing …