Queue Slicing Based Dynamic Cross-Layer Scheduling for Wireless Deterministic Network with Heterogeneous Traffic

In wireless deterministic network (DetNet), it is a great challenge to serve heterogeneous traffic under different delay-bound requirements and wireless channels. This paper investigates the dynamic transmission scheduling policy for wireless DetNet with heterogeneous traffic. To meet the delaybound requirements for diverse traffic types, we propose a queue slicing model, where the queue buffer is divided into multiple slices. In each time slot, the newly arriving packets of different traffic types are allocated to specific queue buffer slices. Based on the queue slicing model, a cross-layer scheduling scheme is proposed, utilizing channel state information (CSI) of the physical layer (PHY) and queue state information of the medium access control (MAC) layer. Our objective is to minimize the delay violation probability under constraints on average transmission power and queue slice length. To solve the problem, we propose a queue slicing based dynamic deterministic scheduling (QS-DDS) algorithm using the Lyapunov drift-plus-penalty optimization method. Numerical results demonstrate that the proposed algorithm provides deterministic transmission for different traffic types. For wireless network with a single traffic type, the proposed algorithm achieves a lower delay violation probability than traditional queuing model based deterministic scheduling policies. Moreover, we validate the effectiveness of Lyapunov optimization method and show a trade-off between the objective function and the average virtual queue backlog.