DEVELOPMENT OF A MODIFIED HANDOVER DECISION ALGORITHM IN LONG TERM EVOLUTION ADVANCED NETWORK USING MOBILITY VECTOR PREDICTION TECHNIQUE
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Ahmadu Bello University Zaria
Abstract
Heterogeneous deployment of access points is considered as a promising technique for
improved network performance in 4G Long Term Evolution Advanced (LTE-A) networks.
While the heterogeneity of the network results in reduced cell sizes thereby improving network
coverage, inter-cell handover process becomes more complex and frequent. This frequent
handover is usually caused by small cell (SC) densification and speed of the UEs. Therefore,
the different velocities and angles of movement of the mobile users in the cell area leads to
excessive scanning process between neighbouring cells and this poses an inherent delay in the
handover decision. This research is aimed at addressing unnecessary handovers which drops
network quality. And also, to improve network throughput by considering signal to interference
plus noise ratio (SINR). This SINR was to mitigate neighbour cell interference. An angle of
movement of 300 was used to create a shortened candidate list of small cells (SCs) with high
signal strength. This helps in reducing delay in searching for target small cells (SCs) for
handover. And mobility vector prediction technique was incorporated so that low to medium
speed user equipment (UEs) access the same small cell (SC). This helps in reducing the
scanning for different target SCs and accurately execute handover. This research was carried
out using LTE system level model in MATLAB and the performance of the improved
algorithm was compared with the existing work. Probability of Handover was reduced by
33.33%, Probability of Unnecessary handover was also reduced by 44.44%. Network
throughput was improved by 40%. To further improve on the strength of the developed
algorithm; Radio link failure probability was reduced by 46.37% when compared with the
conventional scheme. The results obtained show tremendous improvement in UE call quality.