Resource allocation for OFDMA based cognitive radio in wireless regional area network / Norazlina Jaafar
Orthogonal Frequency Division Multiple Access (OFDMA) will be the predominant technology for the air interface of broadband mobile wireless system for the next decades. In recent years, OFDMA platform for IEEE 802.22 based on cognitive radio (CR) are rolled out for commercial used. The first worldwi...
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my-uitm-ir.678542022-10-21T08:56:03Z Resource allocation for OFDMA based cognitive radio in wireless regional area network / Norazlina Jaafar 2011 Jaafar, Norazlina Wireless LANs Radio Orthogonal Frequency Division Multiple Access (OFDMA) will be the predominant technology for the air interface of broadband mobile wireless system for the next decades. In recent years, OFDMA platform for IEEE 802.22 based on cognitive radio (CR) are rolled out for commercial used. The first worldwide application of cognitive radio (CR) networks in unlicensed television broadcast bands is IEEE 802.22, Wireless Regional Area Network (WRAN). CR is the key technology that will enable flexible, efficient and reliable spectrum use by adapting the radio's characteristics to the real-time conditions of the environment. Resource allocation lays an important role in communication networks as a way of optimizing the assignment of available resources to achieve a network design objective and at the same time guarantee the QoS for all users. Efficiency, power consumption and QoS factors should be taken into account by mapping algorithms. This paper investigates the OFDMA based cognitive radio resource allocation problems in WRAN networks. 2011 Thesis https://ir.uitm.edu.my/id/eprint/67854/ https://ir.uitm.edu.my/id/eprint/67854/1/67854.PDF text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Idris,, Azlina |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
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English |
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Idris,, Azlina |
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Wireless LANs Radio |
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Wireless LANs Radio Jaafar, Norazlina Resource allocation for OFDMA based cognitive radio in wireless regional area network / Norazlina Jaafar |
description |
Orthogonal Frequency Division Multiple Access (OFDMA) will be the predominant technology for the air interface of broadband mobile wireless system for the next decades. In recent years, OFDMA platform for IEEE 802.22 based on cognitive radio (CR) are rolled out for commercial used. The first worldwide application of cognitive radio (CR) networks in unlicensed television broadcast bands is IEEE 802.22, Wireless Regional Area Network (WRAN). CR is the key technology that will enable flexible, efficient and reliable spectrum use by adapting the radio's characteristics to the real-time conditions of the environment. Resource allocation lays an important role in communication networks as a way of optimizing the assignment of available resources to achieve a network design objective and at the same time guarantee the QoS for all users. Efficiency, power consumption and QoS factors should be taken into account by mapping algorithms. This paper investigates the OFDMA based cognitive radio resource allocation problems in WRAN networks. |
format |
Thesis |
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Master's degree |
author |
Jaafar, Norazlina |
author_facet |
Jaafar, Norazlina |
author_sort |
Jaafar, Norazlina |
title |
Resource allocation for OFDMA based cognitive radio in wireless regional area network / Norazlina Jaafar |
title_short |
Resource allocation for OFDMA based cognitive radio in wireless regional area network / Norazlina Jaafar |
title_full |
Resource allocation for OFDMA based cognitive radio in wireless regional area network / Norazlina Jaafar |
title_fullStr |
Resource allocation for OFDMA based cognitive radio in wireless regional area network / Norazlina Jaafar |
title_full_unstemmed |
Resource allocation for OFDMA based cognitive radio in wireless regional area network / Norazlina Jaafar |
title_sort |
resource allocation for ofdma based cognitive radio in wireless regional area network / norazlina jaafar |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2011 |
url |
https://ir.uitm.edu.my/id/eprint/67854/1/67854.PDF |
_version_ |
1783735737084018688 |