A Novel Self-Optimizing Load Balancing Method Based on Ant Colony in LTE Network

With the rapid growth of mobile communication technologies, the schemes of the mobile networks become more and more complex. Self-optimizing method can make the wireless network resolve the problems automatically, and attracts more attention. The traffic in wireless network has the characteristics of spatial and temporal distribution. The load of the hotspot areas is very heavy, while the neighbors have light load. For the same place, the traffic varies timely. Load balancing is an effective way to resolve the uneven traffic distribution. In this paper, a novel ant colony self-optimizing method of load balancing is proposed, which is based on stimulation intensity of all users in the cell. First the method estimates the load of all cells in the LTE network; then according the stimulation intensity of all users in the cell, some users are selected to be handover to the neighbor cells in order to achieve load balancing. The simulation results show that the proposed algorithm can reduce the number of unsatisfied users significantly compared with iterative algorithm and drop the HO failure rate.