Sliceable Congestion Control for Latency-Aware Bandwidth Allocation in Network Slicing

Emerging applications such as video streaming and automated driving require low latency communication in the wireless link. We can classify the traffic in these applications according to bandwidth requirements. We can improve the Quality of Experience if we can satisfy their bandwidth requirements and suppress the latency. However, conventional bandwidth control causes queuing delay due to the highly variable bandwidth of the wireless network. We propose a novel slicing method that enables per-flow bandwidth control while minimizing queuing delay. We use sliceable congestion control, where an individual slice follows an identical rate control equation that obeys linearity in terms of link capacity. The slices as a whole still preserve the desirable characteristics such as queuing delay reduction. We adjust the congestion window size of each class’s flow based on the sliceable congestion control and enforce the control by overwriting this to the TCP receiver window size field. We evaluate the proposed slicing architecture using cellular traffic traces. We show that we can reduce the queuing delay by 82% compared to conventional bandwidth allocation methods.