Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Kwong, Chiew Foong, Chuah, Teong Chee, Tan, Su Wei, Moghanjoughi, Ayyoub Akbari
Format: Article
Published: Wiley 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.intimal.edu.my/740/
http://onlinelibrary.wiley.com/doi/10.1111/exsy.12120/abstract
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-inti-eprints.740
record_format eprints
spelling my-inti-eprints.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
institution INTI International University
building INTI Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider INTI International University
content_source INTI Institutional Repository
url_provider http://eprints.intimal.edu.my
topic TK Electrical engineering. Electronics Nuclear engineering
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
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.
format Article
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
title 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_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_sort adaptive fuzzy handover triggering approach for long-term evolution network
publisher Wiley
publishDate 2016
url http://eprints.intimal.edu.my/740/
http://onlinelibrary.wiley.com/doi/10.1111/exsy.12120/abstract
_version_ 1644541291063672832
score 13.211869

Similar Items