English

Sensing-Based Beamformed Resource Allocation in Standalone Millimeter-Wave Vehicular Networks

Networking and Internet Architecture 2025-10-24 v1 Signal Processing

Abstract

In 3GPP New Radio (NR) Vehicle-to-Everything (V2X), the new standard for next-generation vehicular networks, vehicles can autonomously select sidelink resources for data transmission, which permits network operations without cellular coverage. However, standalone resource allocation is uncoordinated, and is complicated by the high mobility of the nodes that may introduce unforeseen channel collisions (e.g., when a transmitting vehicle changes path) or free up resources (e.g., when a vehicle moves outside of the communication area). Moreover, unscheduled resource allocation is prone to the hidden node and exposed node problems, which are particularly critical considering directional transmissions. In this paper, we implement and demonstrate a new channel access scheme for NR V2X in Frequency Range 2 (FR2), i.e., at millimeter wave (mmWave) frequencies, based on directional and beamformed transmissions along with Sidelink Control Information (SCI) to select resources for transmission. We prove via simulation that this approach can reduce the probability of collision for resource allocation, compared to a baseline solution that does not configure SCI transmissions.

Keywords

Cite

@article{arxiv.2503.15228,
  title  = {Sensing-Based Beamformed Resource Allocation in Standalone Millimeter-Wave Vehicular Networks},
  author = {Alessandro Traspadini and Anay Ajit Deshpande and Marco Giordani and Chinmay Mahabal and Takayuki Shimizu and Michele Zorzi},
  journal= {arXiv preprint arXiv:2503.15228},
  year   = {2025}
}

Comments

7 pages, 8 figures, 3 tables. Accepted for publication in the 2025 IEEE International Conference on Communications (ICC). \c{opyright} 2025 IEEE. A. Traspadini, A. A. Deshpande, M. Giordani, C. Mahabal, T. Shimizu, and M. Zorzi, "Sensing-Based Beamformed Resource Allocation in Standalone Millimeter-Wave Vehicular Networks," in Proc. IEEE International Conference on Communications (ICC), 2025

R2 v1 2026-06-28T22:26:51.694Z