Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm / Azrinawati Samaon

Finding the optimization of power allocation of subcarrier is always a challenge in MIMO-OFDMA schemes in order to maximize the capacity of the system. Resources allocation is process how set of network is decide in wireless system. This research is to study restriction of proportional rate and tota...

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Main Author:	Samaon, Azrinawati
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Wireless communication systems Mobile communication systems Access control
Online Access:	https://ir.uitm.edu.my/id/eprint/69473/1/69473.pdf
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id	my-uitm-ir.69473
record_format	uketd_dc
spelling	my-uitm-ir.694732023-03-27T07:54:15Z Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm / Azrinawati Samaon 2016 Samaon, Azrinawati Wireless communication systems. Mobile communication systems. Access control Quality of service (Computer networks). Computer network management Finding the optimization of power allocation of subcarrier is always a challenge in MIMO-OFDMA schemes in order to maximize the capacity of the system. Resources allocation is process how set of network is decide in wireless system. This research is to study restriction of proportional rate and total power among user in MIMOOFDMA scheme and the power allocation and capacity of subcarrier in the scheme. The objectives are to evaluate the system by Greedy Subcarrier Allocation and to suggest by using Greedy Power Allocation for capacity increment in MIMO-OFDMA system. Simulation results show that the proposed algorithm can improve the capacity of the network compared with the water-filling when using signal-to-noise ratio (SNR) with value 6dB. The proposed algorithm shows comparison between the noise to sub-channel ratio and power allocation among of data sub-channel for 25, 75 and 100 users. It result shows that there is increasing of capacity using Greedy algorithm compare with water-filling algorithm for 25, 75 and 100 users by 5.1%, 3.7% and 1.8% respectively but there is no significant difference in power allocation and Full Channel State Information (FCSI). 2016 Thesis https://ir.uitm.edu.my/id/eprint/69473/ https://ir.uitm.edu.my/id/eprint/69473/1/69473.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Idris, Azlina
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Idris, Azlina
topic	Wireless communication systems Mobile communication systems Access control Wireless communication systems Mobile communication systems Access control
spellingShingle	Wireless communication systems Mobile communication systems Access control Wireless communication systems Mobile communication systems Access control Samaon, Azrinawati Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm / Azrinawati Samaon
description	Finding the optimization of power allocation of subcarrier is always a challenge in MIMO-OFDMA schemes in order to maximize the capacity of the system. Resources allocation is process how set of network is decide in wireless system. This research is to study restriction of proportional rate and total power among user in MIMOOFDMA scheme and the power allocation and capacity of subcarrier in the scheme. The objectives are to evaluate the system by Greedy Subcarrier Allocation and to suggest by using Greedy Power Allocation for capacity increment in MIMO-OFDMA system. Simulation results show that the proposed algorithm can improve the capacity of the network compared with the water-filling when using signal-to-noise ratio (SNR) with value 6dB. The proposed algorithm shows comparison between the noise to sub-channel ratio and power allocation among of data sub-channel for 25, 75 and 100 users. It result shows that there is increasing of capacity using Greedy algorithm compare with water-filling algorithm for 25, 75 and 100 users by 5.1%, 3.7% and 1.8% respectively but there is no significant difference in power allocation and Full Channel State Information (FCSI).
format	Thesis
qualification_level	Master's degree
author	Samaon, Azrinawati
author_facet	Samaon, Azrinawati
author_sort	Samaon, Azrinawati
title	Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm / Azrinawati Samaon
title_short	Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm / Azrinawati Samaon
title_full	Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm / Azrinawati Samaon
title_fullStr	Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm / Azrinawati Samaon
title_full_unstemmed	Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm / Azrinawati Samaon
title_sort	performance analysis of resource allocation downlink for mimo-ofdma system using greedy algorithm / azrinawati samaon
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2016
url	https://ir.uitm.edu.my/id/eprint/69473/1/69473.pdf
_version_	1783735885099958272

Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm / Azrinawati Samaon

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