5G Enabling Streaming Media Architecture with Edge Intelligence Gateway in Smart Grids

Abstract

Smart Grids is now blending with sophisticated information and communications technology by virtue of orchestrated 5G network to potentially minimize power system accident and provide intelligent and large-scale power management. In this work, we propose a novel streaming media architecture over 5G network with intelligent edge for differentiated QoS requirements. Our proposed design spans a modular surveillance system architecture including the point-to-multipoint MEC gateway (MEC-GW), cloud media server, 5G network. The proposed system leverages the local data acquired at the edge GW to control multipoint video streams access in synergic optimization way, and alleviate traffic congestion near a specific base station (BS). MEC-GW schedulers with advanced adapter properties can adjust the priority state for differentiated QoS requirements and improve the efficiency in the 5G access network. Moreover, the joint 5G MEC-GWs deployment and resource allocation optimization strategy was formulated to maximize system energy efficiency (EE) taking stringent bandwidth and Qos constraints into account. By introducing Charnes-Cooper transform, a non-convex relaxation optimization is proposed to obtain the optimal solution. Real measurement and simulation results show that proposed strategy is scalable and robust, and also offer supplementary and energy-efficient room for improvement with respect to existing approaches.