Meta-reinforcement learning based resource allocation for dynamic V2X communications
This paper studies the allocation of shared resources between vehicle-to-infrastructure (V2I)
and vehicle-to-vehicle (V2V) links in vehicle-to-everything (V2X) communications. In existing …
and vehicle-to-vehicle (V2V) links in vehicle-to-everything (V2X) communications. In existing …
Joint autonomous resource selection and scheduled resource allocation for D2D-based V2X communication
In this paper, we investigate the resource allocation problem for D2D-based Vehicle-to-
Everything (V2X) communication. There are two resource allocation modes for V2X sidelink …
Everything (V2X) communication. There are two resource allocation modes for V2X sidelink …
D2D-based V2V communications with latency and reliability constraints
Direct device-to-device (D2D) communication has been proposed as a possible enabler for
vehicle-to-vehicle (V2V) applications, where the incurred intra-cell interference and the …
vehicle-to-vehicle (V2V) applications, where the incurred intra-cell interference and the …
A latency and reliability guaranteed resource allocation scheme for LTE V2V communication systems
By leveraging direct device-to-device interaction, LTE vehicle-to-vehicle (V2V)
communication becomes a promising solution to meet the stringent requirements of …
communication becomes a promising solution to meet the stringent requirements of …
Deep deterministic policy gradient (DDPG)-based resource allocation scheme for NOMA vehicular communications
YH Xu, CC Yang, M Hua, W Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
This paper investigates the resource allocation problem in vehicular communications based
on multi-agent Deep Deterministic Policy Gradient (DDPG), in which each Vehicle-to …
on multi-agent Deep Deterministic Policy Gradient (DDPG), in which each Vehicle-to …
Joint spectrum allocation and power control in vehicular communications based on dueling double DQN
J Ren, Z Chai, Z Chen - Vehicular Communications, 2022 - Elsevier
Vehicular communications is one of the important applications of 5G communication
systems. The allocation scheme of scarce wireless resources will directly affect the quality of …
systems. The allocation scheme of scarce wireless resources will directly affect the quality of …
Deep-reinforcement-learning-based mode selection and resource allocation for cellular V2X communications
Cellular vehicle-to-everything (V2X) communication is crucial to support future diverse
vehicular applications. However, for safety-critical applications, unstable vehicle-to-vehicle …
vehicular applications. However, for safety-critical applications, unstable vehicle-to-vehicle …
Resource sharing and power allocation for D2D-based safety-critical V2X communications
Deploying direct device-to-device (D2D) links is considered an enabler for V2X applications,
with intra-cell interference and stringent latency and reliability requirements as challenging …
with intra-cell interference and stringent latency and reliability requirements as challenging …
Chaotic grey wolf optimization‐based resource allocation for vehicle‐to‐everything communications
Summary Device‐to‐device (D2D) enables direct communication between Vehicle‐to‐
Everything (V2X) devices. For V2X communications, efficient power control and radio sub …
Everything (V2X) devices. For V2X communications, efficient power control and radio sub …
Enabling security-aware D2D spectrum resource sharing for connected autonomous vehicles
With the emergence of automated driving technology, wireless demand for secure
information exchange among automated vehicles has increased dramatically. To this end …
information exchange among automated vehicles has increased dramatically. To this end …