Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced System
Although Long Term Evolution Advanced (LTE-Advanced) system has benefited from Carrier Aggregation (CA) technology, the advent of CA technology has increased handover scenario probability through user mobility. That leads to a user’s throughput degradation and its outage probability. Therefore, a ha...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2014/739504 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849468146846531584 |
|---|---|
| author | Ibraheem Shayea Mahamod Ismail Rosdiadee Nordin Hafizal Mohamad |
| author_facet | Ibraheem Shayea Mahamod Ismail Rosdiadee Nordin Hafizal Mohamad |
| author_sort | Ibraheem Shayea |
| collection | DOAJ |
| description | Although Long Term Evolution Advanced (LTE-Advanced) system has benefited from Carrier Aggregation (CA) technology, the advent of CA technology has increased handover scenario probability through user mobility. That leads to a user’s throughput degradation and its outage probability. Therefore, a handover decision algorithm must be designed properly in order to contribute effectively for reducing this phenomenon. In this paper, Multi-Influence Factors for Adaptive Handover Decision Algorithm (MIF-AHODA) have been proposed through CA implementation in LTE-Advanced system. MIF-AHODA adaptively makes handover decisions based on different decision algorithms, which are selected based on the handover scenario type and resource availability. Simulation results show that MIF-AHODA enhances system performance better than the other considered algorithms from the literature by 8.3 dB, 46%, and 51% as average gains over all the considered algorithms in terms of SINR, cell-edge spectral efficiency, and outage probability reduction, respectively. |
| format | Article |
| id | doaj-art-ffa67cb1b85f4065a3c8e558cd45683c |
| institution | Kabale University |
| issn | 2090-7141 2090-715X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj-art-ffa67cb1b85f4065a3c8e558cd45683c2025-08-20T03:25:56ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2014-01-01201410.1155/2014/739504739504Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced SystemIbraheem Shayea0Mahamod Ismail1Rosdiadee Nordin2Hafizal Mohamad3Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaFaculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaFaculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, MalaysiaMIMOS Berhad, Technology Park Malaysia, 57000 Kuala Lumpur, MalaysiaAlthough Long Term Evolution Advanced (LTE-Advanced) system has benefited from Carrier Aggregation (CA) technology, the advent of CA technology has increased handover scenario probability through user mobility. That leads to a user’s throughput degradation and its outage probability. Therefore, a handover decision algorithm must be designed properly in order to contribute effectively for reducing this phenomenon. In this paper, Multi-Influence Factors for Adaptive Handover Decision Algorithm (MIF-AHODA) have been proposed through CA implementation in LTE-Advanced system. MIF-AHODA adaptively makes handover decisions based on different decision algorithms, which are selected based on the handover scenario type and resource availability. Simulation results show that MIF-AHODA enhances system performance better than the other considered algorithms from the literature by 8.3 dB, 46%, and 51% as average gains over all the considered algorithms in terms of SINR, cell-edge spectral efficiency, and outage probability reduction, respectively.http://dx.doi.org/10.1155/2014/739504 |
| spellingShingle | Ibraheem Shayea Mahamod Ismail Rosdiadee Nordin Hafizal Mohamad Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced System Journal of Computer Networks and Communications |
| title | Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced System |
| title_full | Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced System |
| title_fullStr | Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced System |
| title_full_unstemmed | Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced System |
| title_short | Adaptive Handover Decision Algorithm Based on Multi-Influence Factors through Carrier Aggregation Implementation in LTE-Advanced System |
| title_sort | adaptive handover decision algorithm based on multi influence factors through carrier aggregation implementation in lte advanced system |
| url | http://dx.doi.org/10.1155/2014/739504 |
| work_keys_str_mv | AT ibraheemshayea adaptivehandoverdecisionalgorithmbasedonmultiinfluencefactorsthroughcarrieraggregationimplementationinlteadvancedsystem AT mahamodismail adaptivehandoverdecisionalgorithmbasedonmultiinfluencefactorsthroughcarrieraggregationimplementationinlteadvancedsystem AT rosdiadeenordin adaptivehandoverdecisionalgorithmbasedonmultiinfluencefactorsthroughcarrieraggregationimplementationinlteadvancedsystem AT hafizalmohamad adaptivehandoverdecisionalgorithmbasedonmultiinfluencefactorsthroughcarrieraggregationimplementationinlteadvancedsystem |