An edge computing offloading mechanism for mobile peer sensing and network load weak balancing in 5G network

Abstract

In large-scale applications, 5G networks are faced with various challenges such as large-scale mobile terminals, dynamic topology and resource management. To solve these problems, we introduced the edge computing, peer entity perception, network load balancing and calculation offload into 5G networks, and proposed a real-time and efficient edge computing offload mechanism. On the one hand, the mechanism, through organic distribution and deep fusion of mobile terminals and cloud computing servers, rationally allocate storage, computing and network services, could achieve a feasible division of labor and collaboration between the quality of the network service and the quality of the user experience. On the other hand, the mechanism can satisfy the needs of massive mobile terminals and peer entities to access 5G networks by introducing peer to peer entities. In addition, the mechanism removes the mismatch features and isomerism between the mobile terminal of the limited 5G network resources and computing power and the high-performance server in real time through mobile peer sensing. Thus, a balance between user experience requirements and network service quality is sought. Simulation experiments and mathematical analysis results demonstrate the advantages of the proposed algorithm in terms of real-time performance, resource management level and computational efficiency.