Performance Analysis on LTE Mobility Management in Heterogeneous Networks

Abstract

Long Term Evolution was developed to be step toward the 4th generation (4G) of radio technologies designed to increase the capacity and speed of mobile. Femtocell is a small cellular base station designed for use in subscriber’s home and small business environments .Handover is one of the key components in cellular network mobility management .The objective of this thesis Performance Evaluation Handover in LTE Based on two Handover Algorithms UE Transmit Power Reduction (UTPR) handover decision policy algorithm and Strongest cell handover decision policy algorithm (SCB). Matlab software is used for this evaluation process, the obtained results included UE Power consumption, in which the SCB reduced the power consumption by 8.6% and the UTPR by 52%; the hysteresis margin and the handover , the datarate with the number of users, in which the SCB decrease the data rate by 91.7% and the UTPR by 83.7%; the throughput of the system in it the UTPR increase the throughput by 88.8% and the SCB by 86.4%, the handover probability with respect to the femtoblock deployment Density, and the average interference power , for downlink interference the UTPR mitigate it by a ratio of 17.5% and the SCB by 12.5% while for the uplink interference the UTPR decrease it by 4% and the SCB by 0.2%. founded that UTPR algorithm is better than SCB algorithm.