Dynamic-Driven Congestion Control and Segment Rerouting in the 6G-Enabled Data Networks

Abstract

The perceptual experience of next-generation wireless networks is nowadays coexisting with a unified heterogeneous system. It uses advanced internet protocol (IP) features with scalable infrastructure to optimize the efficiency rate of the core networks. Of late, the Internet-of-Things has played a significant role in the growth of smart devices that derive a forward and backward interface to provide a low-rate data flow. Moreover, a software-defined network (SDN) is openly chosen to explore the promising features such as controller and switches to separate the control and data plane. To fulfill the standard constraints of 6G networks, this article presents dynamic-driven congestion control and segment rerouting. It has two essential purposes: 1) to mitigate the flow rate and signal congestion and 2) to enhance the monitoring process and path adjustment. The approach of Deleroi superimposed, forward-backward interface, and segment rerouting have been implemented and configured in the IMSCore platform that examines the quality metrics such as throughput rate and transmission delay. To probe the signaling traffic and congestion rate, two superposition principles were derived that can minimize the transmission rate and signaling congestion to achieve the demands of the media zone.