Sensing Window Adaptation in Partial Sensing-based (SWAP) Resource Allocation for Vulnerable Road Users in 5G-V2X

Vatanian N, Mohammad Soleymani D, Harounabadi M (2024)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2024

Publisher: IEEE

Pages Range: 7

Conference Proceedings Title: 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)

Event location: Washington, DC, USA US

ISBN: 979-8-3315-1778-6

URI: https://ieeexplore.ieee.org/document/10757469

DOI: 10.1109/VTC2024-Fall63153.2024.10757469

Abstract

In vehicular networks, implementing 5G for vehicle-to-everything (V2X) communication, various user categories are present, including vehicular users (VUEs) with huge source of energy and vulnerable road users, such as pedestrian users (PUEs) or cyclists, with dissimilar energy constraints. This paper investigates RA schemes specified by the 3rd Generation Partnership Project (3GPP) for both VUEs and PUEs, utilizing sidelink communication including sensing-based and random-based Resource Allocation (RA) algorithms for VUEs, along with periodic partial sensing (PPS) and contiguous partial sensing (CPS) algorithms for PUEs, with periodic and aperiodic traffic, respectively. It then proposes a novel algorithm named sensing window adaptation in partial sensing (SWAP) for PUEs with periodic traffic to further reduce energy consumption while fulfilling reliability and latency. The results show that the proposed algorithm outperforms the legacy PPS algorithms specified by 3GPP in energy consumption.

Authors with CRIS profile

Nazanin Vatanian Lehrstuhl für Intelligente Technische Elektronik und Systeme

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE)

How to cite

APA:

Vatanian, N., Mohammad Soleymani, D., & Harounabadi, M. (2024). Sensing Window Adaptation in Partial Sensing-based (SWAP) Resource Allocation for Vulnerable Road Users in 5G-V2X. In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall) (pp. 7). Washington, DC, USA, US: IEEE.

MLA:

Vatanian, Nazanin, Dariush Mohammad Soleymani, and Mehdi Harounabadi. "Sensing Window Adaptation in Partial Sensing-based (SWAP) Resource Allocation for Vulnerable Road Users in 5G-V2X." Proceedings of the 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), Washington, DC, USA IEEE, 2024. 7.

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