DEVELOPMENT OF A MODIFIED HANDOVER DECISION ALGORITHM IN LONG TERM EVOLUTION ADVANCED NETWORK USING MOBILITY VECTOR PREDICTION TECHNIQUE
| dc.contributor.author | Abbas Sani SADA | en |
| dc.creator | Abbas Sani SADA | en |
| dc.date.accessioned | 2023-09-22T09:10:41Z | |
| dc.date.available | 2023-09-22T09:10:41Z | |
| dc.date.issued | 2021-09-28 | en |
| dc.description.abstract | 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. | en |
| dc.identifier.uri | https://teras.ng/api/asset/document/814d67b8-5d7e-479b-810a-f7ad63a158f2 | en |
| dc.identifier.uri | https://teras.ng/catalog-item/cb817447-5bd8-47c9-bf90-6fcb57cdc599 | en |
| dc.identifier.uri | http://dspace.teras-network.net:4000/handle/123456789/30291 | |
| dc.publisher | Ahmadu Bello University Zaria | en |
| dc.title | DEVELOPMENT OF A MODIFIED HANDOVER DECISION ALGORITHM IN LONG TERM EVOLUTION ADVANCED NETWORK USING MOBILITY VECTOR PREDICTION TECHNIQUE | en |
| dc.type | Research Theses | en |
| thesis.degree.level | Masters | en |
| thesis.matric.number | P16EGCM8008 | en |