Smart spectrum management for V2X
T Fujii - 2018 IEEE International Symposium on Dynamic …, 2018 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) are expected to revolutionize future
transportation systems, and so, active research and development are in progress. In …
transportation systems, and so, active research and development are in progress. In …
Hybrid spectrum access for V2V heterogeneous networks with deep reinforcement learning
J Huang, J Peng, H Xiang, L Li… - 2022 14th International …, 2022 - ieeexplore.ieee.org
This paper studies the hybrid spectrum access for cellular vehicle-to-vehicle (V2V)
heterogeneous networks (Het-Nets) exploiting deep reinforcement learning (DRL) …
heterogeneous networks (Het-Nets) exploiting deep reinforcement learning (DRL) …
Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications
YC Chung, HY Chang, RY Chang… - 2023 IEEE 97th …, 2023 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication is an essential technology for future vehicular
applications. It is challenging to simultaneously achieve vehicle-to-infrastructure (V2I) and …
applications. It is challenging to simultaneously achieve vehicle-to-infrastructure (V2I) and …
Artificial intelligence inspired transmission scheduling in cognitive vehicular communications and networks
The Internet of Things (IoT) platform has played a significant role in improving road transport
safety and efficiency by ubiquitously connecting intelligent vehicles through wireless …
safety and efficiency by ubiquitously connecting intelligent vehicles through wireless …
Spectral efficiency maximization for V2V communication underlaid cellular uplink using deep neural networks
D Ron, EJ Han, JR Lee - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Vehicle-to-vehicle (V2V) communication has been considered as a key technology of the
intelligent transportation system because it has emerged with significant benefits such as …
intelligent transportation system because it has emerged with significant benefits such as …
Matching Combined Heterogeneous Multi-Agent Reinforcement Learning for Resource Allocation in NOMA-V2X Networks
To combat the spectrum scarcity, non-orthogonal multiple access (NOMA) and vehicle-to-
everything (V2X) systems are integrated as NOMA-V2X networks, where multiple vehicleto …
everything (V2X) systems are integrated as NOMA-V2X networks, where multiple vehicleto …
Power Control and Evolutionary Strategy Based Slicing Resource Allocation for V2V Communication
Y Liang, X Chen, T Ma, S Ma… - 2021 22nd Asia-Pacific …, 2021 - ieeexplore.ieee.org
The emerging Vehicle to Vehicle (V2V) technology supports the direct communication about
road condition information between vehicles, which improves the communication efficiency …
road condition information between vehicles, which improves the communication efficiency …
Spectrum allocation strategies based on QoS in cognitive vehicle networks
R Li, P Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
The vehicular ad hoc network (VANET) is an important part of modern intelligent
transportation systems (ITS), and its emergence has provided support for improving traffic …
transportation systems (ITS), and its emergence has provided support for improving traffic …
Multi-agent reinforcement learning resources allocation method using dueling double deep Q-network in vehicular networks
The communications between vehicle-to-vehicle (V2V) with high frequency, group sending,
group receiving and periodic lead to serious collision of wireless resources and limited …
group receiving and periodic lead to serious collision of wireless resources and limited …
Socially aware V2X networks with RIS: Joint resource optimization
Inspired by the promising potentialof reconfigurable intelligent surface (RIS)-based
transmission, this paper investigates the RIS-aided vehicle-to-everything (V2X) …
transmission, this paper investigates the RIS-aided vehicle-to-everything (V2X) …