Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-Based Solutions

Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-Based Solutions

As one of the promising intelligent transportation frameworks, vehicular platooning has the potential to bring about sustainable and efficient mobility solutions. One of the challenges in the development of platooning is maintaining the string stability, which ensures that there is no amplification...

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Bibliographic Details
Main Authors: Mohammad Parvini, Philipp Schulz, Gerhard Fettweis
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Difference of two convex functions (d.c.) programming
optimization
multi-agent reinforcement learning (MARL)
platooning
radio resource management (RRM)
federated learning (FL)
Online Access:https://ieeexplore.ieee.org/document/10477602/

Internet

https://ieeexplore.ieee.org/document/10477602/

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