… for the two dominant vehicular network technologies, eg … based vehicular networks. We
discuss the challenges and opportunities for resource allocations in modern vehicular networks …

… a new type of vehicular network concept, namely a Federated Vehicular Network (FVN), …
and endto-end delay in VANET, compared to traditional vehicular networks; however, we are not …

… of 5G-enabled applications in vehicular networks. In this article, we construct an intelligent
offloading framework for 5Genabled vehicular networks, by jointly utilizing licensed cellular …

… mobility vehicular networks, where multiple V2V links attempt to share the frequency spectrum
preoccupied by V2I links. To support diverse service requirements in vehicular networks, …

… been introduced into vehicular networks by … vehicular network architecture was proposed
to improve the coverage probability of the network slicing technology in 5G vehicular networks […

… performance and better handle the dynamics in a vehicular network, we investigate in [86]
a multiagent RL-based … Ribeiro, “Large scale wireless power allocation with graph neural …

We describe Veins, an open-source model library for (and a toolbox around) OMNeT ++ ,
which supports researchers conducting simulations involving communicating road vehicles—…

… not only by the potentially tricky implementation on a large scale but also by the lack of a …
Again, the main challenges are represented by the difficult implementation on a large scale, …

… evolution for vehicular networks in terms of communication, networking, and … vehicular
networks. Then, the potential ML-technologybased intelligent solutions for 6G vehicular networks …

… instances, their performance deteriorates in large problems. This article presents a novel
learning-augmented local search framework to solve large-scale VRP. The method iteratively …