%0 Journal Article
%A HUANG Xiao-ge
%A LIU Xiao-xiao
%A SHEN Bin
%T User Association Algorithm for Fog Computing Based on Multiple Attribute Decision Making Model
%D 
%R 10.13190/j.jbupt.2020-221
%J Journal of Beijing University of Posts and Telecommunications
%P 68-74
%V 44
%N 4
%X Fog computing enabled heterogeneous cellular networks suffer from the high complexity issue of user associations. To solve the problem, a user association algorithm based on multi-attribute decision model is proposed. The proposed method adjusts the attribute priority by appropriately selecting key performance indicators (KPI), and designing models and the combination weights. Meanwhile, comprehensive evaluation indicator is designed to jointly optimize the six KPIs. Simulation results show that the proposed method can not only achieve a superior trade-off between quality of experience and system performance, but also effectively reduce the association delay and system energy consumption. Moreover, the porposed method also has advantages in load balancing.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2020-221