Advanced signal processing techniques for single-carrier multi-user MIMO wireless communications

Overcoming the inter-symbol interference (ISI) and co-channel interference (CCI) encountered in broadband frequency-selective multi-user multi-input multi-output (MU-MIMO) wireless channels with advanced baseband signal processing techniques is the focus of the thesis. Single-carrier (SC) techniques...

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Main Author: Abdullah Aljohani
Format: Default Thesis
Published: 2009
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Online Access:https://hdl.handle.net/2134/35299
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spelling rr-article-95239762009-01-01T00:00:00Z Advanced signal processing techniques for single-carrier multi-user MIMO wireless communications Abdullah Aljohani (7201544) Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified Overcoming the inter-symbol interference (ISI) and co-channel interference (CCI) encountered in broadband frequency-selective multi-user multi-input multi-output (MU-MIMO) wireless channels with advanced baseband signal processing techniques is the focus of the thesis. Single-carrier (SC) techniques with frequency domain equalization (FDE) are considered as they benefit from much reduced peak-to-average transmit power ratio (PAPR) and hence considerably less linearity requirements on the radio frequency amplifier as compared to orthogonal frequency division multiplexing (OFDM) methods. A new two-step interference cancellation scheme is first proposed for the uplink MU-MIMO wireless channel. SC transmission is exploited together with time-reversed spacetime block coding. Average symbol error rate simulations for quasi-static and fast-fading broadband frequency-selective two-user MIMO channels confirm the utility of the approach. [Continues.] 2009-01-01T00:00:00Z Text Thesis 2134/35299 https://figshare.com/articles/thesis/Advanced_signal_processing_techniques_for_single-carrier_multi-user_MIMO_wireless_communications/9523976 CC BY-NC-ND 4.0
institution Loughborough University
collection Figshare
topic Mechanical engineering not elsewhere classified
untagged
Mechanical Engineering not elsewhere classified
spellingShingle Mechanical engineering not elsewhere classified
untagged
Mechanical Engineering not elsewhere classified
Abdullah Aljohani
Advanced signal processing techniques for single-carrier multi-user MIMO wireless communications
description Overcoming the inter-symbol interference (ISI) and co-channel interference (CCI) encountered in broadband frequency-selective multi-user multi-input multi-output (MU-MIMO) wireless channels with advanced baseband signal processing techniques is the focus of the thesis. Single-carrier (SC) techniques with frequency domain equalization (FDE) are considered as they benefit from much reduced peak-to-average transmit power ratio (PAPR) and hence considerably less linearity requirements on the radio frequency amplifier as compared to orthogonal frequency division multiplexing (OFDM) methods. A new two-step interference cancellation scheme is first proposed for the uplink MU-MIMO wireless channel. SC transmission is exploited together with time-reversed spacetime block coding. Average symbol error rate simulations for quasi-static and fast-fading broadband frequency-selective two-user MIMO channels confirm the utility of the approach. [Continues.]
format Default
Thesis
author Abdullah Aljohani
author_facet Abdullah Aljohani
author_sort Abdullah Aljohani (7201544)
title Advanced signal processing techniques for single-carrier multi-user MIMO wireless communications
title_short Advanced signal processing techniques for single-carrier multi-user MIMO wireless communications
title_full Advanced signal processing techniques for single-carrier multi-user MIMO wireless communications
title_fullStr Advanced signal processing techniques for single-carrier multi-user MIMO wireless communications
title_full_unstemmed Advanced signal processing techniques for single-carrier multi-user MIMO wireless communications
title_sort advanced signal processing techniques for single-carrier multi-user mimo wireless communications
publishDate 2009
url https://hdl.handle.net/2134/35299
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