An adaptive fuzzy handover triggering approach for Long-Term Evolution network
To cope with the increasing demand for efficient data delivery, self-organizing networks have been introduced in the Long Term Evolution (LTE) system to provide autonomous and flexible mobility management. The existing handover triggering scheme for LTE is not flexible enough to incorporate new perf...
| Main Authors: | , , , |
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| Format: | Article |
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Wiley
2016
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| Online Access: | http://eprints.intimal.edu.my/740/ |
| _version_ | 1848766554364182528 |
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| author | Kwong, Chiew Foong Chuah, Teong Chee Tan, Su Wei Moghanjoughi, Ayyoub Akbari |
| author_facet | Kwong, Chiew Foong Chuah, Teong Chee Tan, Su Wei Moghanjoughi, Ayyoub Akbari |
| author_sort | Kwong, Chiew Foong |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | To cope with the increasing demand for efficient data delivery, self-organizing networks have been introduced in the Long Term Evolution (LTE) system to provide autonomous and flexible mobility management. The existing handover triggering scheme for LTE is not flexible enough to incorporate new performance metrics, and it introduces handover latency. There are studies on non-conventional handoff algorithms for LTE applications, for instance, the fuzzy logic approach. However, the fuzzy logic approach needs regular manual tuning to constantly produce optimal output. In this paper, we address this issue by proposing an adaptive fuzzy logic-based handoff decision algorithm, which can cope with environmental changes and improve efficiency by reducing human intervention. Performance results show that the proposed algorithm can reduce unnecessary handovers by about 20% compared with the fuzzy logic and conventional LTE handover triggering scheme, leading to reduced packet loss rates. |
| first_indexed | 2025-11-14T11:52:59Z |
| format | Article |
| id | intimal-740 |
| institution | INTI International University |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:52:59Z |
| publishDate | 2016 |
| publisher | Wiley |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-7402017-03-16T05:26:59Z http://eprints.intimal.edu.my/740/ An adaptive fuzzy handover triggering approach for Long-Term Evolution network Kwong, Chiew Foong Chuah, Teong Chee Tan, Su Wei Moghanjoughi, Ayyoub Akbari TK Electrical engineering. Electronics Nuclear engineering To cope with the increasing demand for efficient data delivery, self-organizing networks have been introduced in the Long Term Evolution (LTE) system to provide autonomous and flexible mobility management. The existing handover triggering scheme for LTE is not flexible enough to incorporate new performance metrics, and it introduces handover latency. There are studies on non-conventional handoff algorithms for LTE applications, for instance, the fuzzy logic approach. However, the fuzzy logic approach needs regular manual tuning to constantly produce optimal output. In this paper, we address this issue by proposing an adaptive fuzzy logic-based handoff decision algorithm, which can cope with environmental changes and improve efficiency by reducing human intervention. Performance results show that the proposed algorithm can reduce unnecessary handovers by about 20% compared with the fuzzy logic and conventional LTE handover triggering scheme, leading to reduced packet loss rates. Wiley 2016 Article PeerReviewed Kwong, Chiew Foong and Chuah, Teong Chee and Tan, Su Wei and Moghanjoughi, Ayyoub Akbari (2016) An adaptive fuzzy handover triggering approach for Long-Term Evolution network. Expert Systems, 33 (1). pp. 30-45. ISSN 1468-0394 http://onlinelibrary.wiley.com/doi/10.1111/exsy.12120/abstract 10.1111/exsy.12120 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Kwong, Chiew Foong Chuah, Teong Chee Tan, Su Wei Moghanjoughi, Ayyoub Akbari An adaptive fuzzy handover triggering approach for Long-Term Evolution network |
| title | An adaptive fuzzy handover triggering approach for Long-Term Evolution network |
| title_full | An adaptive fuzzy handover triggering approach for Long-Term Evolution network |
| title_fullStr | An adaptive fuzzy handover triggering approach for Long-Term Evolution network |
| title_full_unstemmed | An adaptive fuzzy handover triggering approach for Long-Term Evolution network |
| title_short | An adaptive fuzzy handover triggering approach for Long-Term Evolution network |
| title_sort | adaptive fuzzy handover triggering approach for long-term evolution network |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.intimal.edu.my/740/ http://eprints.intimal.edu.my/740/ http://eprints.intimal.edu.my/740/ |