Smart Predictive Tracking and Collision Resolution for Next Generation Vehicular Sidelink Communications
- Authors
- Elsharief, Mahmoud; Jo, Han-Shin
- Issue Date
- Mar-2026
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- 6GV2X; NRV2X Mode 2; predictive resource allocation; SPTCR; vehicle-to-everything (V2X)
- Citation
- Proceedings - IEEE Global Communications Conference, GLOBECOM, pp 1029 - 1034
- Pages
- 6
- Indexed
- SCOPUS
- Journal Title
- Proceedings - IEEE Global Communications Conference, GLOBECOM
- Start Page
- 1029
- End Page
- 1034
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/219347
- DOI
- 10.1109/GLOBECOM59602.2025.11432587
- ISSN
- 1930-529X
2576-6813
- Abstract
- Reliable, low latency communication is vital for emerging vehicular applications, yet existing protocols, such as the new radio for vehicle-to-everything (NRV2X) Mode 2 encounter resource allocation conflicts in dense traffic. The growing data demands of future smart networks will force sidelink radios to resolve more sophisticated collisions within a few milliseconds while sustaining higher reliability. This study introduces smart predictive tracking and collision resolution (SPTCR), a novel protocol designed to enhance resource allocation in vehicular sidelink communications. SPTCR integrates a predictive resource allocation mechanism with an ID-based collision resolution strategy to improve communication reliability. Its performance is evaluated through analytical modeling and simulations conducted in both controlled environments and real-world scenarios modeled in simulation of urban mobility (SUMO). Results demonstrate that SPTCR outperforms NRV2X Mode 2 in high-traffic conditions, achieving up to a 32.1 % improvement in packet reception ratio (PRR) at a 500 m distance. Additionally, SPTCR significantly extends the communication range, ensuring robust performance across diverse traffic scenarios.
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