THE PROBABILITY DISTRIBUTION SELECTION FOR SELF-CONFIGURATION AND TARGET CELL SELECTION FOR SELF-OPTIMIZATION IN 3GPP LTE SYSTEM

This paper aims to minimize the handover drop rate and distribute the cell load evenly in the self organizing network (SON) of 3G PP long term evolution (LT E) system with a variable loading and dynamic mobility environment. To accomplish the object, we propose two schemes. Firstly, at self-configuration phase, we propose a probability distribution selection scheme for estimating the load change value which means the difference of load value changed during the time interval between the handover decision stage and the admission control stage. Secondly, at self-optimization phase, we propose a target cell selection (TCS) scheme reflecting the estimated load change value obtained from the above-mentioned scheme. The simulation results reveal that the proposed schemes provide better performance than the existing schemes in terms of handover drop rate and load balancing.