Signal design-based channel identification techniques for fiber-wireless systems

Radio-over-fiber (RoF) based fiber-wireless (Fi-Wi) networks have received increasing attention for their ability to achieve high spectral efficiency and macroscopic coverage for high speed multimedia services envisioned by future broadband communication systems. However, a major issue associated wi...

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Bibliographic Details
Main Author:	Ng, Yin Hoe
Format:	Thesis
Published:	2013
Subjects:	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
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id	my-mmu-ep.5219
record_format	uketd_dc
spelling	my-mmu-ep.52192020-12-29T06:47:51Z Signal design-based channel identification techniques for fiber-wireless systems 2013-03 Ng, Yin Hoe TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Radio-over-fiber (RoF) based fiber-wireless (Fi-Wi) networks have received increasing attention for their ability to achieve high spectral efficiency and macroscopic coverage for high speed multimedia services envisioned by future broadband communication systems. However, a major issue associated with this appealing technology is that multipath dispersion of the wireless channel coupled with the nonlinear distortion (NLD) of the RoF link significantly degrades the system performance. In order to counteract the effects of these distortions, estimation and subsequently equalization, of the concatenated Fi-Wi channel need to be performed. In a multiuser environment, multiple access interference (MAI) poses another challenge to the tasks of channel estimation and equalization. Against this background, this thesis explores improved channel estimation techniques for the uplink of RoF based Fi-Wi networks and three novel techniques have been proposed. 2013-03 Thesis http://shdl.mmu.edu.my/5219/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php phd doctoral Multimedia University Faculty of Engineering
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
spellingShingle	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Ng, Yin Hoe Signal design-based channel identification techniques for fiber-wireless systems
description	Radio-over-fiber (RoF) based fiber-wireless (Fi-Wi) networks have received increasing attention for their ability to achieve high spectral efficiency and macroscopic coverage for high speed multimedia services envisioned by future broadband communication systems. However, a major issue associated with this appealing technology is that multipath dispersion of the wireless channel coupled with the nonlinear distortion (NLD) of the RoF link significantly degrades the system performance. In order to counteract the effects of these distortions, estimation and subsequently equalization, of the concatenated Fi-Wi channel need to be performed. In a multiuser environment, multiple access interference (MAI) poses another challenge to the tasks of channel estimation and equalization. Against this background, this thesis explores improved channel estimation techniques for the uplink of RoF based Fi-Wi networks and three novel techniques have been proposed.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ng, Yin Hoe
author_facet	Ng, Yin Hoe
author_sort	Ng, Yin Hoe
title	Signal design-based channel identification techniques for fiber-wireless systems
title_short	Signal design-based channel identification techniques for fiber-wireless systems
title_full	Signal design-based channel identification techniques for fiber-wireless systems
title_fullStr	Signal design-based channel identification techniques for fiber-wireless systems
title_full_unstemmed	Signal design-based channel identification techniques for fiber-wireless systems
title_sort	signal design-based channel identification techniques for fiber-wireless systems
granting_institution	Multimedia University
granting_department	Faculty of Engineering
publishDate	2013
_version_	1747829564725264384

Signal design-based channel identification techniques for fiber-wireless systems

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