A self-optimising neighbor list with priority mechanism based on user behavior

Reduction of operational efforts and complexity are key drivers for RAN Long Term Evolution. It is also of interest to minimise operational effort by introducing self-configuring and self-optimising mechanisms. A self-optimising function shall increase network performance and quality reacting to dynamic processes in the network. To improve the efficiency and performance of the E-UTRAN system, an efficiency measurement procedure is required which can guarantee the LTE seamless HO requirement and keep the quality of service (QoS) criteria. In order to release the RAN from the burden of a huge number of measurements, a new neighbor list management algorithm with priority mechanism based on user behavior towards the mobile station has been evaluated in the in this paper, and is compared with the traditional neighbor list management without the priority mechanism. The study focuses on the LTE intra-frequency HO scenario and uses the number of measurements as the key performance indication (KPI). The results show that the priority algorithm has less frequent measurements than the traditional neighbor list management algorithm per UE.