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Smart Predictive Tracking and Collision Resolution for Next Generation Vehicular Sidelink Communications
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Elsharief, Mahmoud | - |
| dc.contributor.author | Jo, Han-Shin | - |
| dc.date.accessioned | 2026-07-20T02:00:16Z | - |
| dc.date.available | 2026-07-20T02:00:16Z | - |
| dc.date.issued | 2026-03 | - |
| dc.identifier.issn | 1930-529X | - |
| dc.identifier.issn | 2576-6813 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/219347 | - |
| dc.description.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. | - |
| dc.format.extent | 6 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.title | Smart Predictive Tracking and Collision Resolution for Next Generation Vehicular Sidelink Communications | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1109/GLOBECOM59602.2025.11432587 | - |
| dc.identifier.scopusid | 2-s2.0-105036347655 | - |
| dc.identifier.bibliographicCitation | Proceedings - IEEE Global Communications Conference, GLOBECOM, pp 1029 - 1034 | - |
| dc.citation.title | Proceedings - IEEE Global Communications Conference, GLOBECOM | - |
| dc.citation.startPage | 1029 | - |
| dc.citation.endPage | 1034 | - |
| dc.type.docType | Conference paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordPlus | Mobile telecommunication systems | - |
| dc.subject.keywordPlus | Radio communication | - |
| dc.subject.keywordPlus | Radio systems | - |
| dc.subject.keywordAuthor | 6GV2X | - |
| dc.subject.keywordAuthor | NRV2X Mode 2 | - |
| dc.subject.keywordAuthor | predictive resource allocation | - |
| dc.subject.keywordAuthor | SPTCR | - |
| dc.subject.keywordAuthor | vehicle-to-everything (V2X) | - |
| dc.identifier.url | https://ieeexplore.ieee.org/document/11432587 | - |
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