Target cell coverage aware handover algorithm for ultradense heterogeneous networks

Network densification is considered as the leading approach to meet the expectations of high data rates, sub 1ms latency, negligible packet loss rates, flexible deployment and other key network and user performance attributes however, several obstacles such as interference management, mobility manag...

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Main Author:	Kingsley, Dike Obinna
Format:	Thesis
Language:	English
Published:	2018
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/79276/1/KingsleyDikeObinnaMFKE2018.pdf
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id	my-utm-ep.79276
record_format	uketd_dc
spelling	my-utm-ep.792762018-10-14T08:41:53Z Target cell coverage aware handover algorithm for ultradense heterogeneous networks 2018 Kingsley, Dike Obinna TK Electrical engineering. Electronics Nuclear engineering Network densification is considered as the leading approach to meet the expectations of high data rates, sub 1ms latency, negligible packet loss rates, flexible deployment and other key network and user performance attributes however, several obstacles such as interference management, mobility management, back haul implementations, etc. exists that prevent a full commercial rollout. One of these hurdles includes the significant increase in number of handovers for mobile users due the ultra-dense deployment strategy of eNBs. In this work, we attempt to tackle this problem by developing a novel Cell Coverage Aware (CCA) strategy which augments the conventional strongest cell approach by factoring Target cell coverage size. Network performance attributes such as throughput, end to end delay, jitter and packet loss ratio for video streaming, VOIP and web browsing applications were monitored since they directly impact user QoE. Simulations were performed using NS3 discrete event simulator. In order to validate to performance of our approach, we perform a comparative analysis of our algorithm and the traditional approach under various traffic types. Results show that a handover saving of 33.3% can be achieved with CCA for considered topology at the cost of a marginal reduction network performance. 2018 Thesis http://eprints.utm.my/id/eprint/79276/ http://eprints.utm.my/id/eprint/79276/1/KingsleyDikeObinnaMFKE2018.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Kingsley, Dike Obinna Target cell coverage aware handover algorithm for ultradense heterogeneous networks
description	Network densification is considered as the leading approach to meet the expectations of high data rates, sub 1ms latency, negligible packet loss rates, flexible deployment and other key network and user performance attributes however, several obstacles such as interference management, mobility management, back haul implementations, etc. exists that prevent a full commercial rollout. One of these hurdles includes the significant increase in number of handovers for mobile users due the ultra-dense deployment strategy of eNBs. In this work, we attempt to tackle this problem by developing a novel Cell Coverage Aware (CCA) strategy which augments the conventional strongest cell approach by factoring Target cell coverage size. Network performance attributes such as throughput, end to end delay, jitter and packet loss ratio for video streaming, VOIP and web browsing applications were monitored since they directly impact user QoE. Simulations were performed using NS3 discrete event simulator. In order to validate to performance of our approach, we perform a comparative analysis of our algorithm and the traditional approach under various traffic types. Results show that a handover saving of 33.3% can be achieved with CCA for considered topology at the cost of a marginal reduction network performance.
format	Thesis
qualification_level	Master's degree
author	Kingsley, Dike Obinna
author_facet	Kingsley, Dike Obinna
author_sort	Kingsley, Dike Obinna
title	Target cell coverage aware handover algorithm for ultradense heterogeneous networks
title_short	Target cell coverage aware handover algorithm for ultradense heterogeneous networks
title_full	Target cell coverage aware handover algorithm for ultradense heterogeneous networks
title_fullStr	Target cell coverage aware handover algorithm for ultradense heterogeneous networks
title_full_unstemmed	Target cell coverage aware handover algorithm for ultradense heterogeneous networks
title_sort	target cell coverage aware handover algorithm for ultradense heterogeneous networks
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2018
url	http://eprints.utm.my/id/eprint/79276/1/KingsleyDikeObinnaMFKE2018.pdf
_version_	1747818188924518400

Target cell coverage aware handover algorithm for ultradense heterogeneous networks

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