Decentralized resource allocation-based multiagent deep learning in vehicular network
AD Mafuta, BTJ Maharaj, AS Alfa - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
Resource allocation (RA) has a significant impact on vehicular network performance. With
high mobility, RA is more challenging, as the number of vehicles in close proximity changes …
high mobility, RA is more challenging, as the number of vehicles in close proximity changes …
[HTML][HTML] Deep Reinforcement Learning-Based Resource Allocation for Cellular Vehicular Network Mode 3 with Underlay Approach
J Fu, X Qin, Y Huang, L Tang, Y Liu - Sensors, 2022 - mdpi.com
Vehicle-to-vehicle (V2V) communication has attracted increasing attention since it can
improve road safety and traffic efficiency. In the underlay approach of mode 3, the V2V links …
improve road safety and traffic efficiency. In the underlay approach of mode 3, the V2V links …
Resource allocation for D2D-enabled inter-vehicle communications in multiplatoons
Platooning has been identified as a promising vehicular traffic management strategy to
improve road capacity, energy efficiency, and on-road safety in intelligent transportation …
improve road capacity, energy efficiency, and on-road safety in intelligent transportation …
Be stable and fair: Robust data scheduling for vehicular networks
The stable and fair data transmission of vehicular networks can improve transport efficiency
and reduce traffic accident. It is challenging to ensure the stability and fairness of data …
and reduce traffic accident. It is challenging to ensure the stability and fairness of data …
Modeling and analysis on access control for device-to-device communications in cellular network: A network-calculus-based approach
Device-to-device (D2D) communication plays a crucial role in improving the performance of
cellular systems, and it is expected to be an innovative technology for next-generation …
cellular systems, and it is expected to be an innovative technology for next-generation …
Energy efficient relay selection and resource allocation in D2D-enabled mobile edge computing
In order to improve resource utilization and network capacity, we propose the Device-to-
Device (D2D) enabled Mobile Edge Computing (MEC) system, where multiple Smart …
Device (D2D) enabled Mobile Edge Computing (MEC) system, where multiple Smart …
Dynamic mode selection and resource allocation approach for 5G-vehicle-to-everything (V2X) communication using asynchronous federated deep reinforcement …
I Rasheed - Vehicular Communications, 2022 - Elsevier
Abstract 5G vehicle-to-everything (V2X) connectivity is crucial to enable future complex
vehicular networking environment for enabling intelligent transportation systems (ITS). But …
vehicular networking environment for enabling intelligent transportation systems (ITS). But …
Enhancing the user experience in vehicular edge computing networks: An adaptive resource allocation approach
X Sun, J Zhao, X Ma, Q Li - IEEE Access, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been developed as a key technique to handle the
explosive computation demands of vehicles. However, it is non-trivial to realize high-reliable …
explosive computation demands of vehicles. However, it is non-trivial to realize high-reliable …
Reliable adaptive resource management for cognitive cloud vehicular networks
N Cordeschi, D Amendola… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we design and test the performance of a distributed and adaptive resource
management controller, which allows the optimal exploitation of cognitive radio and soft …
management controller, which allows the optimal exploitation of cognitive radio and soft …
A survey on resource allocation in vehicular networks
Vehicular networks, an enabling technology for Intelligent Transportation System (ITS),
smart cities, and autonomous driving, can deliver numerous on-board data services, eg …
smart cities, and autonomous driving, can deliver numerous on-board data services, eg …