Autonomous dynamic window shaping and rerouting for a service-converged layer-2 network with a time-aware shaper accommodating mobile fronthaul and IoT backhaul

We propose autonomous dynamic window shaping and rerouting to improve the throughput of the Internet of Things (IoT) on a service-converged layer-2 network with a time-aware shaper (TAS) accommodating mobile fronthaul (MFH) and IoT backhaul. While low latency for MFH is assured by the TAS technique, the maximum throughput of the IoT traffic is limited because the available bandwidth for the IoT is limited. Our dynamic window shaping and rerouting improves the IoT throughput autonomously by utilizing the burstiness feature of the MFH traffic. Experimental results showed that our techniques increased overall throughput from 3.9 to 7.9 Gbps under certain conditions.