Robust End-to-End Schedules for Wireless Time-Sensitive Networks under Correlated Large-scale Fading

Wireless control applications will play a fundamental role in future factory environments to enable novel mobility use cases and achieve the desired flexibility in production. The standardized integration of 5G into a time-sensitive networking (TSN) environment defines the joint architecture and communication interfaces between the different networks to support time-critical applications. Managing and scheduling such a network in an end-to-end fashion to guarantee the stringent QoS requirements is however a complex task. In this work, we present an efficient window-based resource allocation method for the end-to-end network. A big challenge in scheduling periodic and time-critical control applications over a wireless system is the uncertainty of the channel. We hence introduce a fading correlation-aware optimization to find robust schedules. Our simulation study shows that this approach is able to reduce peak resource demands and hence improve the schedulability compared to standard channel-unaware TSN scheduling.