A Game Theory-Based Strategy for Allocating and Offloading Computing Resources in 5G Networks
Yuan Yuan, Wei Su · 2023
With the emergence of new services in fifth generation (5G) networks, computation offloading based on mobile edge computing (MEC) has emerged as a promising research paradigm in resource-constrained networks. An unreasonable offload strategy can result in high energy consumption and uncertain latency during the offload of such latency-sensitive, computationally intensive computing tasks. In this paper, we decouple the original computational offloading problem into a resource planning problem and an offloading strategy problem. Considering the edge server load state change and user mobility, we design the computational offloading scheme using a game theory approach based on the task offloading ratio and resource allocation ratio. The simulation results show that the proposed scheme has higher system utility compared with the traditional scheme.