Multi-Link V2X | Md Noor-A-Rahim

Project Timeline: April 2024 – March 2028

Funding Body: Science Foundation Ireland

Unleashing mmWave and THz Frequencies for 6G-V2X Networks

This project aims to harness the untapped potential of the mmWave and THz frequency spectrum to achieve the ambitious Key Performance Indicators (KPIs) of 6G technology, such as terabits per second data rates, connectivity for billions of devices, and sub-millisecond access latency. By exploiting the abundant frequency resources available in the mmWave and THz bands, which offer larger bandwidth compared to sub-6 GHz frequencies, congested in existing cellular systems, we aim to enable high-speed data transmission and ultra-low latency for 6G-V2X communications (Noor-A-Rahim et al., 2022). Despite extensive research on infrastructure-based 5G mmWave communications, challenges persist in V2X communications at mmWave and THz frequencies, including propagation loss and susceptibility to blockage by obstacles (Noor-A-Rahim et al., 2022). Moreover, the deployment of much smaller cells in these frequency bands may lead to increased handover frequencies, posing further challenges for ensuring Quality of Service (QoS) for advanced V2X applications. Therefore, this project seeks to explore innovative solutions, including multi-radio access technologies combining sub-6 GHz, mmWave, and THz frequencies, to overcome these challenges and pave the way for future 6G-V2X networks.

References

2022

6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities

Md. Noor-A-Rahim , Zilong Liu , Haeyoung Lee , and 6 more authors

Proceedings of the IEEE, 2022

Bib HTML PDF

@article{a9779322,
  author = {Noor-A-Rahim, Md. and Liu, Zilong and Lee, Haeyoung and Khyam, Mohammad Omar and He, Jianhua and Pesch, Dirk and Moessner, Klaus and Saad, Walid and Poor, H. Vincent},
  journal = {Proceedings of the IEEE},
  title = {6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities},
  year = {2022},
  volume = {110},
  number = {6},
  pages = {712-734},
  keywords = {Vehicle-to-everything;6G mobile communication;NOMA;Wireless communication;Security;Vehicle-to-infrastructure;Vehicle safety;Blockchains;Vehicle-to-everything;Autonomous aerial vehicles;Visible light communication;Satellites;Federated learning;Autonomous vehicles;Haptic interfaces;Blockchain;brain-controlled vehicle (BCV);federated learning;intelligent reflective surfaces (IRSs);machine learning (ML);nonorthogonal multiple access (NOMA);quantum;radio frequency (RF)-visible light communication (VLC) vehicle-to-everything (V2X);sixth-generation (6G)-V2X;tactile-V2X;terahertz (THz) communications;unmanned-aerial-vehicle (UAV)/satelliteassisted V2X},
  doi = {10.1109/JPROC.2022.3173031},
  google_scholar_id = {UxriW0iASnsC},
}

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},
}