Dynamic QoS Mapping and Adaptive Semi-Persistent Scheduling in 5G-TSN Integrated Networks

The ubiquitous and deterministic commu-nication systems are becoming indispensable for fu-ture vertical applications such as industrial automation systems and smart grids. 5G-TSN (Time-Sensitive Networking) integrated networks with the 5G system (5GS) as a TSN bridge are promising to provide the re-quired communication service. To guarantee the end -to-end (E2E) QoS (Quality of Service) performance of traffic is a great challenge in 5G-TSN integrated net-works. A dynamic QoS mapping method is proposed in this paper. It is based on the improved K-means clustering algorithm and the rough set theory (IKC-RQM). The IKC-RQM designs a dynamic and load -aware QoS mapping algorithm to improve its flexibil-ity. An adaptive semi-persistent scheduling (ASPS) mechanism is proposed to solve the challenging de-terministic scheduling in 5GS. It includes two parts: one part is the persistent resource allocation for time -sensitive flows, and the other part is the dynamic re-source allocation based on the max-min fair share al-gorithm. Simulation results show that the proposed IKC-RQM algorithm achieves flexible and appropri-ate QoS mapping, and the ASPS performs correspond-ing resource allocations to guarantee the deterministic transmissions of time-sensitive flows in 5G-TSN inte-grated networks.