Congestion-Aware and Energy-Efficient MEC Model with Low Latency for 5G

Abstract

Low latency, energy efficiency, massive connectivity, and high data rate are the main characteristics that academia and industry are seeking for 5 G. The majority of the recent studies were dedicated to solving the delay issue by leveraging the edge computing concept while other studies directed its efforts towards realizing a green cloud by minimizing the energy consumption in the cloud. Multi-access edge computing (MEC) emerged in the past decade as a promising solution for the determined millisecond-scale latency in 5 G networks. In this paper, we present an active queue management-based green cloud model (AGCM), an energy-efficient cloud model to reduce energy waste at both the cloud and mobile devices and the latency by relieving the congestion in the cloud. We also propose a hand-off strategy with MEC to acquire the potential gain and investigate its impact on the cloud's fundamental constraints. We tested our proposed models with simulation showing considerable improvement for the latency, energy consumption, and throughput.