Performance Optimization of Fronthaul Links to Satisfy Stringent URLLC Latency and Jitter Constraints

Abstract

Ultra-Reliable Low-Latency Communication (URLLC) is a key service category in 5G and beyond networks, enabling mission-critical applications such as industrial automation, autonomous systems, and real-time control. Achieving stringent latency and jitter requirements for URLLC services places significant demands on fronthaul networks, where variable delays and congestion can severely impact performance. This paper presents a comprehensive performance optimization framework for fronthaul links designed to satisfy ultra-low latency and minimal jitter constraints. The proposed approach integrates URLLC-aware traffic modeling with advanced optimization techniques, including priority-based scheduling, time-sensitive networking, packet preemption, dynamic bandwidth allocation, and precise time synchronization. Extensive performance evaluation under diverse network configurations and traffic load scenarios demonstrates substantial reductions in end-to-end latency and delay variation while maintaining high reliability and efficient resource utilization. The results confirm that the optimized fronthaul architecture consistently meets URLLC service level requirements, even under high network load conditions. This study highlights the importance of deterministic networking and adaptive resource management in fronthaul design and provides a scalable solution for supporting stringent URLLC performance demands in next-generation wireless networks.