Optimizing handover in LTE using SON system by handling mobility robustness

Prediction of handover and deciding of handover in long term evolution systems is very complicated. Adjusting the parameters to achieve less delay in the handover then we have to compromise with the system performance and user experience. By doing that it was consuming more time and even that was less robust. Because of increased cell number in Long Term Evolution systems the services are provided with higher speed. With the increase in cell number the operating expenditure for managing them also increases. Solution for resolving this problem is by making use of self-configuring and self-optimizing method. From these two techniques self-optimization is well known for reducing operating expenditure. The handover optimization techniques are analysed for the stationary mobility users in the conventional method. The main intention of our project is to obtain better handover performance for mobility robustness. This paper provides an algorithm for adjusting the handover parameters adaptively and automatically. The algorithm considers handover failure that is caused due to the user equipment mobility changes and also an analysis of the user mobility and handover results of the user equipment that are recorded in the database. These results are examined and selected for the next time handover when a user prefers the same mobility route. By doing so this will reduce the number of handover failures and avoids the unnecessary handovers.