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User’s mobility history-based mobility prediction in LTE femtocells network

Seamless and fast handover is one of main goals in Long Term Evolution (LTE) in supporting mobility and maintaining user’s quality of services. Mobility prediction is a technique to identify future targeted base station in advance, to reduce handover latency, and finally to enhance handover performa...

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Main Authors: Amirrudin, Nurul Ain, Syed Ariffin, Sharifah Hafizah, Nik Abd. Malik, Nik Noordini, Ghazali, Nurzal Effiyana
Format: Conference or Workshop Item
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/39651/
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spelling my.utm.396512017-09-28T01:14:09Z http://eprints.utm.my/id/eprint/39651/ User’s mobility history-based mobility prediction in LTE femtocells network Amirrudin, Nurul Ain Syed Ariffin, Sharifah Hafizah Nik Abd. Malik, Nik Noordini Ghazali, Nurzal Effiyana TK Electrical engineering. Electronics Nuclear engineering Seamless and fast handover is one of main goals in Long Term Evolution (LTE) in supporting mobility and maintaining user’s quality of services. Mobility prediction is a technique to identify future targeted base station in advance, to reduce handover latency, and finally to enhance handover performance in wireless networks. In this paper, mobility prediction via Markov Chains with an input of user’s mobility history is proposed as a technique to predict the user’s movement in femtocells deployment. The results show that our proposed method predicts better when random data is 50% and above compared to the existing method. We had also analysed the effect of unavailable base station to the accuracy of the prediction in our proposed method. From the analysis, it is found that, the length of time collecting the data for the database effect the prediction accuracy in certain duration. 2013 Conference or Workshop Item PeerReviewed Amirrudin, Nurul Ain and Syed Ariffin, Sharifah Hafizah and Nik Abd. Malik, Nik Noordini and Ghazali, Nurzal Effiyana (2013) User’s mobility history-based mobility prediction in LTE femtocells network. In: IEEE International RF and Microwave Conference (RFM 2013), 2013.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Amirrudin, Nurul Ain
Syed Ariffin, Sharifah Hafizah
Nik Abd. Malik, Nik Noordini
Ghazali, Nurzal Effiyana
User’s mobility history-based mobility prediction in LTE femtocells network
description Seamless and fast handover is one of main goals in Long Term Evolution (LTE) in supporting mobility and maintaining user’s quality of services. Mobility prediction is a technique to identify future targeted base station in advance, to reduce handover latency, and finally to enhance handover performance in wireless networks. In this paper, mobility prediction via Markov Chains with an input of user’s mobility history is proposed as a technique to predict the user’s movement in femtocells deployment. The results show that our proposed method predicts better when random data is 50% and above compared to the existing method. We had also analysed the effect of unavailable base station to the accuracy of the prediction in our proposed method. From the analysis, it is found that, the length of time collecting the data for the database effect the prediction accuracy in certain duration.
format Conference or Workshop Item
author Amirrudin, Nurul Ain
Syed Ariffin, Sharifah Hafizah
Nik Abd. Malik, Nik Noordini
Ghazali, Nurzal Effiyana
author_facet Amirrudin, Nurul Ain
Syed Ariffin, Sharifah Hafizah
Nik Abd. Malik, Nik Noordini
Ghazali, Nurzal Effiyana
author_sort Amirrudin, Nurul Ain
title User’s mobility history-based mobility prediction in LTE femtocells network
title_short User’s mobility history-based mobility prediction in LTE femtocells network
title_full User’s mobility history-based mobility prediction in LTE femtocells network
title_fullStr User’s mobility history-based mobility prediction in LTE femtocells network
title_full_unstemmed User’s mobility history-based mobility prediction in LTE femtocells network
title_sort user’s mobility history-based mobility prediction in lte femtocells network
publishDate 2013
url http://eprints.utm.my/id/eprint/39651/
_version_ 1643650349576224768
score 13.211869

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