Latency- and Jitter-Aware Traffic Scheduling for Hybrid Services in 5G-TSN Integrated Systems
In this paper, we investigate the hybrid traffic scheduling problem in 5G-TSN integrated systems, to achieve the endogenous deterministic communication for 5G. A novel strategy namely time-slot orchestration is proposed, and a latencyand jitter-aware traffic scheduling problem with the objective of maximizing the resource utilization is further formulated. To the best of our knowledge, it is the first time for such a problem being studied in the context of 5G-TSN integration. To solve this complex combinatorial optimization problem, a low-complexity heuristic scheduling algorithm is elaborately designed and extensively evaluated. Experimental results show that, compared with the optimal method derived from the genetic algorithm (GA) and the method based on the classical earliest deadline first (EDF) scheduling, the proposed method can efficiently enhance the endogenous deterministic communication capability of 5G by orders of magnitude, especially under high loads.
Authors
- Zening Liu (ORCID: https://orcid.org/0000-0002-3390-4976)
- Yongming Huang (ORCID: https://orcid.org/0009-0009-2545-2875)
- Feiyang Wang (ORCID: https://orcid.org/0000-0002-7668-2971)
- Hongxin Lin (ORCID: https://orcid.org/0000-0001-9932-7975)
- Cheng Zhang (ORCID: https://orcid.org/0000-0003-2663-4207)
- Nian Xiong (ORCID: https://orcid.org/0000-0003-2188-4995)
Institutions
- Purple Mountain Laboratories (CN)
- Southeast University (CN)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1109/vtc2025-spring65109.2025.11174737
- Primary Topic
- Software-Defined Networks and 5G
- Type
- article
- Field-Weighted Citation Impact
- 0.00