A novel proactive soft load balancing framework for ultra dense network

Abstract

A major challenge for the future wireless network is to design the self-organizing architecture. The reactive self-organizing model of traditional networks needs to be transformed into an active self-organizing network. Due to the user mobility and the coverage of small cells, the network load often becomes unbalanced, resulting in poor network performance. Mobility management has become an important issue to ensure seamless communication when users move between cells, and proactive mobility management is one of the important functions of the active Self-Organizing Network (SON). This paper proposes a proactive mobility management framework for active SON, which transforms the original reactive load balancing into a forward-aware and proactive load balancing. The proposed framework firstly uses the BART model to predict the users’ temporal and spatial mobility based on a weekly cycle and then formulate the MLB optimization problem based on the soft load. Two solutions are proposed to solve the above MLB problem. The simulation results show that the proposed method can better optimize the network performance and realize intelligent mobile management for the future network.