Centralized Intelligent Network Management for Energy Efficient Resource Mechanism Small Cell Network

Wireless Heterogeneous Small Cells Network (WHSCN) raised an enormous interest among communication industry and academia all around the world. Recent development of mobile services and applications has resulted in an imposing rise in the network traffic. In order to enhance the network capacity to m...

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Main Author:	Abdul, Qahar
Format:	Thesis
Language:	English
Published:	2021
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://ir.unimas.my/id/eprint/35824/1/Abdul%20Qahar%20ft.pdf
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id	my-unimas-ir.35824
record_format	uketd_dc
spelling	my-unimas-ir.358242023-03-02T08:01:07Z Centralized Intelligent Network Management for Energy Efficient Resource Mechanism Small Cell Network 2021-08-17 Abdul, Qahar QA75 Electronic computers. Computer science Wireless Heterogeneous Small Cells Network (WHSCN) raised an enormous interest among communication industry and academia all around the world. Recent development of mobile services and applications has resulted in an imposing rise in the network traffic. In order to enhance the network capacity to meet the traffic demands, the Service Providers (SPs) make use of dense deployment of small cells base stations. However, dense deployment of small cells poses several challenges such as inefficient utilization of resources, imbalance of load during peak-hours and underutilization of resources during off-hours leading to high energy consumption and hence degrading the network efficiency of WHSCN. In order to address these issues, this research has proposed a centralized Intelligent Network Management (INM) mechanism. The INM mechanism is implemented in a centralized Small Base Station (SBS). This centralized SBS is known as High Signal Strength (HSS-SBS). The proposed INM mechanism has efficiently utilized the resources by monitoring the load of each SBSs in a cluster. INM also shares the SBSs’ load by activating the centralized SBS during peak-hours and reducing high energy consumption by deactivating the under loaded SBSs during the off-hours. The simulation results show that the proposed mechanism outperforms in terms of decreased user rejection ratio only 3% during peak-hours while 30% reduced energy consumption as compared to Mobility Load Balancing (MLB) scheme of Random Sleep SBSs (RS-SBSs) and Sleep Only Centralized SBS (SOC-SBS) scheme during off-hours. Thus, the proposed INM mechanism has proved to be a better solution to address the issue of inefficient utilization of resources, imbalance of load sharing and energy inefficiency in the WHSCNs. Universiti Malaysia Sarawak (UNIMAS) 2021-08 Thesis http://ir.unimas.my/id/eprint/35824/ http://ir.unimas.my/id/eprint/35824/1/Abdul%20Qahar%20ft.pdf text en validuser phd doctoral Universiti Malaysia Sarawak Faculty of Computer Science and Information Technology
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Abdul, Qahar Centralized Intelligent Network Management for Energy Efficient Resource Mechanism Small Cell Network
description	Wireless Heterogeneous Small Cells Network (WHSCN) raised an enormous interest among communication industry and academia all around the world. Recent development of mobile services and applications has resulted in an imposing rise in the network traffic. In order to enhance the network capacity to meet the traffic demands, the Service Providers (SPs) make use of dense deployment of small cells base stations. However, dense deployment of small cells poses several challenges such as inefficient utilization of resources, imbalance of load during peak-hours and underutilization of resources during off-hours leading to high energy consumption and hence degrading the network efficiency of WHSCN. In order to address these issues, this research has proposed a centralized Intelligent Network Management (INM) mechanism. The INM mechanism is implemented in a centralized Small Base Station (SBS). This centralized SBS is known as High Signal Strength (HSS-SBS). The proposed INM mechanism has efficiently utilized the resources by monitoring the load of each SBSs in a cluster. INM also shares the SBSs’ load by activating the centralized SBS during peak-hours and reducing high energy consumption by deactivating the under loaded SBSs during the off-hours. The simulation results show that the proposed mechanism outperforms in terms of decreased user rejection ratio only 3% during peak-hours while 30% reduced energy consumption as compared to Mobility Load Balancing (MLB) scheme of Random Sleep SBSs (RS-SBSs) and Sleep Only Centralized SBS (SOC-SBS) scheme during off-hours. Thus, the proposed INM mechanism has proved to be a better solution to address the issue of inefficient utilization of resources, imbalance of load sharing and energy inefficiency in the WHSCNs.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abdul, Qahar
author_facet	Abdul, Qahar
author_sort	Abdul, Qahar
title	Centralized Intelligent Network Management for Energy Efficient Resource Mechanism Small Cell Network
title_short	Centralized Intelligent Network Management for Energy Efficient Resource Mechanism Small Cell Network
title_full	Centralized Intelligent Network Management for Energy Efficient Resource Mechanism Small Cell Network
title_fullStr	Centralized Intelligent Network Management for Energy Efficient Resource Mechanism Small Cell Network
title_full_unstemmed	Centralized Intelligent Network Management for Energy Efficient Resource Mechanism Small Cell Network
title_sort	centralized intelligent network management for energy efficient resource mechanism small cell network
granting_institution	Universiti Malaysia Sarawak
granting_department	Faculty of Computer Science and Information Technology
publishDate	2021
url	http://ir.unimas.my/id/eprint/35824/1/Abdul%20Qahar%20ft.pdf
_version_	1783728464717676544

Centralized Intelligent Network Management for Energy Efficient Resource Mechanism Small Cell Network

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