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) …
Intelligent dynamic spectrum access using deep reinforcement learning for VANETs
Y Wang, X Li, P Wan, R Shao - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
In vehicular ad hoc networks (VANETs), vehicles can communicate with other vehicles or
devices through vehicle-to-X communication. However, with the rise of the Internet of Things …
devices through vehicle-to-X communication. However, with the rise of the Internet of Things …
Analytical investigation of two benchmark resource allocation algorithms for LTE-V2V
Short-range wireless technologies will enable vehicles to communicate and coordinate their
actions, thus improving people's safety and traffic efficiency. Whereas IEEE 802.11 p (and …
actions, thus improving people's safety and traffic efficiency. Whereas IEEE 802.11 p (and …
Deep reinforcement learning for dynamic uplink/downlink resource allocation in high mobility 5G HetNet
Recently, the 5G is widely deployed for supporting communications of high mobility nodes
including train, vehicular and unmanned aerial vehicles (UAVs) largely emerged as the …
including train, vehicular and unmanned aerial vehicles (UAVs) largely emerged as the …
AoI-aware resource allocation for platoon-based C-V2X networks via multi-agent multi-task reinforcement learning
This paper investigates the problem of age of information (AoI) aware radio resource
management for a platooning system. Multiple autonomous platoons exploit the cellular …
management for a platooning system. Multiple autonomous platoons exploit the cellular …