Deep reinforcement learning based distributed resource allocation for V2V broadcasting
In this article, we exploit deep reinforcement learning for joint resource allocation and
scheduling in vehicle-to-vehicle (V2V) broadcast communications. Each vehicle, considered …
scheduling in vehicle-to-vehicle (V2V) broadcast communications. Each vehicle, considered …
Enhancing Internet of vehicles (IOVs) performances using intelligent cognitive radio principles
I Benomarat, Z Madini, Y Zouine… - … on Electronics, Control …, 2018 - ieeexplore.ieee.org
Internet of vehicles or IOV is widely regarded as an ubiquitous trend of the Intelligent
Transportation Systems to encompass transport safety and abate accidents inherent in …
Transportation Systems to encompass transport safety and abate accidents inherent in …
Deep reinforcement learning based resource allocation for V2V communications
In this paper, we develop a novel decentralized resource allocation mechanism for vehicle-
to-vehicle (V2V) communications based on deep reinforcement learning, which can be …
to-vehicle (V2V) communications based on deep reinforcement learning, which can be …
Deep deterministic policy gradient based resource allocation in Internet of vehicles
The development of sensors and wireless communication technology has greatly promoted
the development of the Internet of Vehicles (IoV). In Vehicle to Everything (V2X) …
the development of the Internet of Vehicles (IoV). In Vehicle to Everything (V2X) …
Resource allocation in V2X communication: State-of-the-art and research challenges
A Nair, S Tanwar - Physical Communication, 2024 - Elsevier
This paper explores the multifaceted domain of resource allocation (RA) in vehicle-to-
everything (V2X) communication, emphasizing its pivotal role in advancing intelligent …
everything (V2X) communication, emphasizing its pivotal role in advancing intelligent …
Multiband Cooperative Spectrum Sensing Meets Vehicular Network: Relying on CNN‐LSTM Approach
A vehicular network is expected to empower all aspects of the intelligent transportation
system (ITS) and aim at improving road safety and traffic efficiency. In view of the fact that …
system (ITS) and aim at improving road safety and traffic efficiency. In view of the fact that …
Proactive Dynamic Spectrum Sharing for URLLC Services Under Uncertain Environment via Deep Reinforcement Learning
X Chen, L Shan, X Li, N Deng… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
To support the emerging applications with the coming of the Beyond-5G (B5G) era, eg, Ultra
Reliable Low Latency Communications (URLLC) services, our telecommunications …
Reliable Low Latency Communications (URLLC) services, our telecommunications …
Toward 5G spectrum sharing for immersive-experience-driven vehicular communications
Dynamic sharing of 5G and the DSRC spectrum has been considered as an attainable
paradigm to provide VANETs with massive system capacity, reduced latency, and lowered …
paradigm to provide VANETs with massive system capacity, reduced latency, and lowered …
Self-Adapted Resource Allocation in V2X Communication
The intelligent transportation system (ITS) along with vehicular communications are making
our daily life safer and easier eg, saving time, traffic control, safe driving, etc. Many …
our daily life safer and easier eg, saving time, traffic control, safe driving, etc. Many …
AoI-Driven Cluster-Based Spectrum Sharing in Internet of Construction Equipment with Multi-Agent Reinforcement Learning
P Ning, H Wang, T Tang, L Zhu… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Tunnel construction is a dynamic excavation process that requires a variety of construction
equipment and workers to cooperate according to standard procedures. To enhance …
equipment and workers to cooperate according to standard procedures. To enhance …