Repeated Contention Scheduling: A Novel Resource Allocation Algorithm Toward 6G Vehicular Networks

2026-07-07

AI Summary

This work addresses the persistent resource conflicts and limited adaptability of conventional semi-persistent scheduling (SPS) and dynamic scheduling (DS) in NR-V2X sidelink communications under high-density, dynamic scenarios. To overcome these limitations, the authors propose RCS, a fully distributed, multi-round feedback-based competitive scheduling algorithm that eliminates long-term resource reservations and instead enables efficient allocation through reservation-free, feedback-driven contention. The scheme innovatively incorporates a distributed multi-round competition mechanism and is experimentally validated on a software-defined radio (SDR) platform. Both simulations and real-world measurements demonstrate that RCS significantly outperforms SPS and DS under high traffic loads, exhibiting superior robustness and scalability across key performance metrics—including transmission success probability, collision and packet loss rates, and information timeliness as measured by inter-packet delay and age of information.

Abstract

Efficient decentralized resource allocation remains a fundamental challenge in NR-V2X sidelink communications, where conventional Semi-Persistent Scheduling (SPS) and Dynamic Scheduling (DS) suffer from persistent collisions and limited adaptability under dynamic and dense conditions. This paper proposes Repeated Contention Scheduling (RCS), a novel resource allocation algorithm based on multi-round, feedback-driven contention that eliminates long-term reservations and enables fully distributed operation. Simulations demonstrate that RCS outperforms SPS and DS in terms of success probability, collision and loss reduction, and timeliness metrics such as Packet Inter-Reception Delay and Age of Information, particularly under high load. The practical feasibility of the approach is validated through an SDR-based experimental testbed, which confirms robust operation under realistic hardware impairments and closely matches theoretical and simulation results. These findings establish RCS as a viable and scalable solution for resource allocation in 5G NR sidelink and a promising candidate for future 6G vehicular communication systems.

Problem

• resource allocation
• NR-V2X
• vehicular networks
• decentralized scheduling
• collision avoidance

Innovation

• Repeated Contention Scheduling
• NR-V2X
• decentralized resource allocation
• feedback-driven contention
• 6G vehicular networks