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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2016
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| 在线阅读: | https://ir.uitm.edu.my/id/eprint/69042/1/69042.pdf |
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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 |