RAHVANET | Md Noor-A-Rahim

Project Timeline: December 2018 – November 2020

Funding Body: Marie Skłodowska-Curie Co-funded EDGE Fellowship

DSRC and cellular techniques have their respective advantages and limitations when used in vehicular environments. As a result, an integration of such heterogeneous vehicular networks bears promise to exploit their unique benefits, while addressing their drawbacks. This proposal is focused on resource allocation for heterogeneous vehicular networks to utilize the resources of each network effectively and to enable high-speed communication between vehicles. We aim to develop the proposed resource allocation scheme based on cross layer optimization in each standard, which will jointly optimize the physical and MAC layers performance of the heterogeneous vehicular network. Particularly, the proposed resource allocation scheme will be adapted to an on-demand data/cache transfer use case.

Heterogeneous Vehicular Network (Noor-A-Rahim et al., 2022)

References

2022

A Survey on Resource Allocation in Vehicular Networks

Md. Noor-A-Rahim , Zilong Liu , Haeyoung Lee , and 3 more authors

IEEE Transactions on Intelligent Transportation Systems, 2022

Bib HTML PDF

@article{a9186820,
  author = {Noor-A-Rahim, Md. and Liu, Zilong and Lee, Haeyoung and Ali, G. G. Md. Nawaz and Pesch, Dirk and Xiao, Pei},
  journal = {IEEE Transactions on Intelligent Transportation Systems},
  title = {A Survey on Resource Allocation in Vehicular Networks},
  year = {2022},
  volume = {23},
  number = {2},
  pages = {701-721},
  keywords = {Resource management;Wireless communication;Machine learning;Long Term Evolution;Intelligent transportation systems;Quality of service;Technological innovation;Intelligent transportation system;vehicular network;autonomous driving;DSRC V2X;cellular V2X;resource allocation;network slicing;machine learning},
  doi = {10.1109/TITS.2020.3019322},
  google_scholar_id = {nb7KW1ujOQ8C},
}