O-RAN-Enabled Adaptive Relaying for Robust V2X Communication in Urban NLOS Scenarios


Por: Rehman, A, Shahid, H, Masini, BM, Di Marco, P, Munawar, F

Publicada: 1 ene 2025
Resumen:
The Open Radio Access Network (O-RAN) introduces programmability and intelligence into wireless infrastructure, making it a promising enabler of reliable Vehicle-to-Everything (V2X) communication in complex urban environments. Unlike traditional RAN, O-RAN's disaggregated architecture and RAN Intelligent Controller (RIC) allow real-time adaptation to Non-Line-of-Sight (NLOS) challenges, an issue unresolved in many existing V2X systems. This paper proposes an adaptive relaying framework that leverages the near-real-time RIC to dynamically enhance V2X reliability through dynamic relay selection and interference-aware resource coordination. The architecture supports programmable fallback relaying using disaggregated Distributed Unit (O-DU)/Radio Unit (O-RU) at roadside infrastructure, enabling low-latency two-hop paths when direct sidelink communication fails. To evaluate performance, a semi-analytical model based on Moment Matching Approximation (MMA) is developed, capturing the signal-to-interference-plus-noise ratio (SINR) under composite Nakagami-lognormal fading and stochastic co-channel interference. The framework integrates O-RAN with NR-V2X sidelink communication to bridge the gap between centralized and ad-hoc vehicular networks. Simulation results demonstrate that the proposed O-RAN-aided relaying improves Packet Success Probability (PSP) in dense NLOS scenarios, consistently achieving a PSP above 90%. The framework outperforms conventional LOS and NLOS approaches while maintaining compatibility with 3GPP Release 18 and O-RAN Alliance specifications, ensuring practical deployability in future intelligent transportation systems (ITS).

Filiaciones:
Rehman, A:
 Institute of Electronics, Consiglio Nazionale delle Ricerche, Rome, RM, Italy

Shahid, H:
 Centre Tecnològic de Telecomunicacions de Catalunya, Castelldefels, Barcelona, Spain

Masini, BM:
 Institute of Electronics, Consiglio Nazionale delle Ricerche, Rome, RM, Italy

Di Marco, P:
 Department of Information Engineering, Università degli Studi dell'Aquila, L'Aquila, AQ, Italy

Munawar, F:
 Government College University Faisalabad, Faisalabad, Pakistan
ISSN: 21693536





IEEE Access
Editorial
Institute of Electrical and Electronics Engineers Inc., 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, Estados Unidos America
Tipo de documento: Article
Volumen: 13 Número:
Páginas: 200946-200956
WOS Id: 001634166800029
imagen Green Submitted, gold, All Open Access; Gold Open Access; Green Open Access

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