Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar

Normally, the cell-edged users in wireless network experiencing a low Signal-to- Interference-plus-Noise-Ratio (SINR). This problem will result in low signal strength and it will cause a bad performance for the overall system. Moreover, the small cell capacity and cell coverage will occur at the cel...

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Main Author:	Jaafar, Aminah Najihah
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/69596/1/69596.pdf
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id	my-uitm-ir.69596
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spelling	my-uitm-ir.695962023-03-08T07:56:41Z Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar 2016 Jaafar, Aminah Najihah Neural networks (Computer science) Normally, the cell-edged users in wireless network experiencing a low Signal-to- Interference-plus-Noise-Ratio (SINR). This problem will result in low signal strength and it will cause a bad performance for the overall system. Moreover, the small cell capacity and cell coverage will occur at the cell-edge. To support a high data services and applications it is required a peak data rate. The enhancement of the cell-edge capacity as well as cell coverage are the expectation that can be provided by Long Term Evolution Advanced (LTE-A). In this paper, a new scheme for an optimum Relay Node (RN) placement in LTE-A cellular network to enhance the coverage extension at cell-edges region is proposed. It is due to user with low SINR will hand over to the Relay Node (RN) and will efficiently utilize the system resources. Various LTE-A technologies including RN deployments have been studied to meet these requirements. To provide high data rates coverage with a minimum operator cost is the advantage of RNs. Algorithms to determine the minimum distance between users and both Base Station (BS) and RN and the signal strength received in the proposed scheme also provided. The simulation results indicate an improvement in signal strength for the deployment of fixed relays. 2016 Thesis https://ir.uitm.edu.my/id/eprint/69596/ https://ir.uitm.edu.my/id/eprint/69596/1/69596.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Yusof, Azita Laily
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Yusof, Azita Laily
topic	Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Jaafar, Aminah Najihah Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar
description	Normally, the cell-edged users in wireless network experiencing a low Signal-to- Interference-plus-Noise-Ratio (SINR). This problem will result in low signal strength and it will cause a bad performance for the overall system. Moreover, the small cell capacity and cell coverage will occur at the cell-edge. To support a high data services and applications it is required a peak data rate. The enhancement of the cell-edge capacity as well as cell coverage are the expectation that can be provided by Long Term Evolution Advanced (LTE-A). In this paper, a new scheme for an optimum Relay Node (RN) placement in LTE-A cellular network to enhance the coverage extension at cell-edges region is proposed. It is due to user with low SINR will hand over to the Relay Node (RN) and will efficiently utilize the system resources. Various LTE-A technologies including RN deployments have been studied to meet these requirements. To provide high data rates coverage with a minimum operator cost is the advantage of RNs. Algorithms to determine the minimum distance between users and both Base Station (BS) and RN and the signal strength received in the proposed scheme also provided. The simulation results indicate an improvement in signal strength for the deployment of fixed relays.
format	Thesis
qualification_level	Master's degree
author	Jaafar, Aminah Najihah
author_facet	Jaafar, Aminah Najihah
author_sort	Jaafar, Aminah Najihah
title	Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar
title_short	Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar
title_full	Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar
title_fullStr	Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar
title_full_unstemmed	Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar
title_sort	performance evaluation of relay deployment in long term evolution advanced (lte-a) network / aminah najihah jaafar
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2016
url	https://ir.uitm.edu.my/id/eprint/69596/1/69596.pdf
_version_	1783735895515463680

Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar

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