An Optimal Choice for QoE with Cooperative Mobile-edge-computing in UDN

Abstract

MEC and UDN are two key technologies in the field of wireless communication. In a UDN network, deploying MEC servers in both macro and micro base stations can effectively improve user experience. However, according to the actual scenario, the processing capability of each MEC server is different. If the collaborative processing of the server is not considered, some servers may be busy and idle, and how to design a server collaborative processing strategy to get the best user experience is an issue that needs to be addressed. Therefore, we first establish a system model of the topological MEC server under UDN, and then establish the objective function considering delay and energy consumption. In order to find the cooperation strategy between servers, we use cooperation algorithm to find the optimal solution. Finally, the results are compared with the baseline algorithm. The results show that the collaborative strategy can perform better time and energy consumption.