Q-learning based two-timescale power allocation for multi-homing hybrid RF/VLC networks
This letter investigates hybrid networks composed of a radio frequency (RF) access point
(AP) and multiple visible light communication (VLC) APs. We consider mobile multi-homing …
(AP) and multiple visible light communication (VLC) APs. We consider mobile multi-homing …
DQN-based multi-user power allocation for hybrid RF/VLC networks
In this paper, a Deep Q-Network (DQN) based multi-agent multi-user power allocation
algorithm is proposed for hybrid networks composed of radio frequency (RF) and visible light …
algorithm is proposed for hybrid networks composed of radio frequency (RF) and visible light …
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 …
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) …
Adaptive network resource optimization for heterogeneous VLC/RF wireless networks
W Wu, F Zhou, Q Yang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Deploying a radio frequency (RF) access point (AP) to the visible light communication (VLC)
system is a promising strategy to overcome the VLC's limitations, such as limited coverage …
system is a promising strategy to overcome the VLC's limitations, such as limited coverage …
Reinforcement learning approach for hybrid WiFi-VLC networks
AM Alenezi, KA Hamdi - 2020 IEEE 91st Vehicular Technology …, 2020 - ieeexplore.ieee.org
The number of mobile devices in indoor environment has dramatically increased and the
capacity of conventional RF wireless networks may not be enough to support the indoor …
capacity of conventional RF wireless networks may not be enough to support the indoor …
Artificial intelligence for smart resource management in multi-user mobile heterogeneous RF-light networks
Recent trends in 5G and beyond wireless networks have encouraged the migration from the
already congested radio frequency (RF) spectrum to higher frequency bands. In this context …
already congested radio frequency (RF) spectrum to higher frequency bands. In this context …
VLC and D2D heterogeneous network optimization: A reinforcement learning approach based on equilibrium problems with equilibrium constraints
N Raveendran, H Zhang, D Niyato… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The radio frequency spectrum crunch has triggered the harnessing of other sources of
bandwidth, for which visible light is a promising candidate. Even though visible light …
bandwidth, for which visible light is a promising candidate. Even though visible light …
Reinforcement learning based load balancing for hybrid LiFi WiFi networks
Light fidelity (LiFi) is an emerging communication technology, which utilizes the light-
emitting diodes (LEDs) for high-speed wireless communications. Due to its huge unlicensed …
emitting diodes (LEDs) for high-speed wireless communications. Due to its huge unlicensed …
Optimizing handover parameters by Q-learning for heterogeneous radio-optical networks
Existing literature studying the access point (AP)-user association problem of
heterogeneous radio-optical networks either investigates quasi-static network selection or …
heterogeneous radio-optical networks either investigates quasi-static network selection or …