Statistical AoI Guarantee Optimization for Supporting xURLLC in ISAC-enabled V2I Networks

This paper addresses the critical challenge of supporting next-generation ultra-reliable and low-latency communication (xURLLC) within integrated sensing and communication (ISAC)-enabled vehicle-to-infrastructure (V2I) networks. We incorporate channel evaluation and retransmission mechanisms for rea...

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Bibliographic Details
Published inarXiv.org
Main Authors Zhang, Yanxi, Yao, Mingwu, Yang, Qinghai, Yan, Dongqi, Zhang, Xu, Xu, Bao, Muyu Mei
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 01.08.2024
Subjects
Network latency
Network reliability
Real time
Statistical analysis
Upper bounds
Vehicle-to-infrastructure
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Summary:This paper addresses the critical challenge of supporting next-generation ultra-reliable and low-latency communication (xURLLC) within integrated sensing and communication (ISAC)-enabled vehicle-to-infrastructure (V2I) networks. We incorporate channel evaluation and retransmission mechanisms for real-time reliability enhancement. Using stochastic network calculus (SNC), we establish a theoretical framework to derive upper bounds for the peak age of information violation probability (PAVP) via characterized sensing and communication moment generation functions (MGFs). By optimizing these bounds, we develop power allocation schemes that significantly reduce the statistical PAVP of sensory packets in such networks. Simulations validate our theoretical derivations and demonstrate the effectiveness of our proposed schemes.
ISSN:2331-8422