Improving energy efficiency of massive memo using small cell network / Alizawati Mat Zim

Nowadays, the compaction of the cellular network resulted in increased demand in wireless data services. However, the cellular energy efficiency (EE) can be improved by densification the network topology, without bothering quality-of-service (QoS) constraint at the users. In this paper, small cell n...

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Main Author:	Mat Zim, Alizawati
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/69042/1/69042.pdf
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id	my-uitm-ir.69042
record_format	uketd_dc
spelling	my-uitm-ir.690422023-02-02T15:01:54Z Improving energy efficiency of massive memo using small cell network / Alizawati Mat Zim 2016 Mat Zim, Alizawati Neural networks (Computer science) Nowadays, the compaction of the cellular network resulted in increased demand in wireless data services. However, the cellular energy efficiency (EE) can be improved by densification the network topology, without bothering quality-of-service (QoS) constraint at the users. In this paper, small cell network (SCN) is applied in massive MIMO (MM) and analyze the power consumption of these two densification approaches for different QoS constraints. For this paper, three beamforming (BF) algorithms are compared which are optimal BF is using only the base station (BS), multiflow regularized zero forcing (RZF) BF and optimal spatial soft-cell coordination BF. Numerical result compared with BF algorithm proposed in different simulation parameters and show that by increasing the number of small-cell access points (SCAs), the antennas per SCAs could enhance the total system energy efficiency. 2016 Thesis https://ir.uitm.edu.my/id/eprint/69042/ https://ir.uitm.edu.my/id/eprint/69042/1/69042.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abd. Razak, Nur Idora
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abd. Razak, Nur Idora
topic	Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Mat Zim, Alizawati Improving energy efficiency of massive memo using small cell network / Alizawati Mat Zim
description	Nowadays, the compaction of the cellular network resulted in increased demand in wireless data services. However, the cellular energy efficiency (EE) can be improved by densification the network topology, without bothering quality-of-service (QoS) constraint at the users. In this paper, small cell network (SCN) is applied in massive MIMO (MM) and analyze the power consumption of these two densification approaches for different QoS constraints. For this paper, three beamforming (BF) algorithms are compared which are optimal BF is using only the base station (BS), multiflow regularized zero forcing (RZF) BF and optimal spatial soft-cell coordination BF. Numerical result compared with BF algorithm proposed in different simulation parameters and show that by increasing the number of small-cell access points (SCAs), the antennas per SCAs could enhance the total system energy efficiency.
format	Thesis
qualification_level	Master's degree
author	Mat Zim, Alizawati
author_facet	Mat Zim, Alizawati
author_sort	Mat Zim, Alizawati
title	Improving energy efficiency of massive memo using small cell network / Alizawati Mat Zim
title_short	Improving energy efficiency of massive memo using small cell network / Alizawati Mat Zim
title_full	Improving energy efficiency of massive memo using small cell network / Alizawati Mat Zim
title_fullStr	Improving energy efficiency of massive memo using small cell network / Alizawati Mat Zim
title_full_unstemmed	Improving energy efficiency of massive memo using small cell network / Alizawati Mat Zim
title_sort	improving energy efficiency of massive memo using small cell network / alizawati mat zim
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2016
url	https://ir.uitm.edu.my/id/eprint/69042/1/69042.pdf
_version_	1783735835817934848

Improving energy efficiency of massive memo using small cell network / Alizawati Mat Zim

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