Asynchronous Channel-Aware and Queue-Aware Deficit Round Robin Scheduling Strategy for Different TSN Traffics in the TSN-5G Network

Abstract

One of the most significant technologies for ensuring deterministic low-latency transmission for time-sensitive applications in the integrated TSN-5G network is the traffic scheduling method. In this paper, we propose a channel-aware and queue-aware deficit round Robin (CQDRR) scheduling method for different hybrid flows in an integrated TSN-5G network. The proposed asynchronous CQDRR scheduling algorithm achieves a computational complexity of O(m), making it effective and particularly suitable for scalable TSN-5G network environments. Its design eliminates the need for time synchronization between 5G and TSN networks, further enhancing its applicability in heterogeneous network scenarios. The CQDRR scheduling method considers both queue load and channel information in its quantum allocation decisions, achieving a good delay performance by distributing suitable quantities of quantum to various TSN flows. The simulation results show that the CQDRR scheduling algorithm significantly outperforms the deterministic quality-of-service (DQOS) and deficit round Robin (DRR) in terms of end-to-end delay performance, especially at high network loads and/or bad channel conditions.