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Permanent link (DOI): https://doi.org/10.7939/R3J71M

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Imperfect Channel Knowledge for Interference Avoidance Open Access

Descriptions

Other title
Subject/Keyword
Channel Knowledge, Feedback Quantization, Channel Estimation, LTE Systems, MIMO Multipath, Channel Reconstruction, Zero-forcing Precoding, Multiuser Interference
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Lajevardi, Saina
Supervisor and department
Nowrouzian Behrouz (Electrical and Computer Engineering)
Schlegel, Christian (Computing Science)
Examining committee member and department
Cockburn, Bruce (Electrical and Computer Engineering)
Nikolaidis, Iannis (Computing Science)
Department
Department of Electrical and Computer Engineering
Specialization

Date accepted
2011-01-18T16:31:10Z
Graduation date
2011-06
Degree
Master of Science
Degree level
Master's
Abstract
This thesis examines various signal processing techniques that are required for establishing efficient (near optimal) communications in multiuser multiple-input multiple-output (MIMO) environments. The central part of this thesis is dedicated to acquisition of information about the MIMO channel state - at both the receiver and the transmitter. This information is required to organize a communication set up which utilizes all the available channel resources. Realistic channel model, i.e., the spatial channel model (SCM), has been used in this study, together with modern long-term evolution (LTE) standard. The work consists of three major themes: (a) estimation of the channel at the receiver, also known as tracking; (b) quantization of the channel information and its feedback from receiver to the transmitter (feedback quantization); and (c) reconstruction of the channel knowledge at the transmitter, and its use for data precoding during communication transmission.
Language
English
DOI
doi:10.7939/R3J71M
Rights
License granted by Saina Lajevardi (lajevard@ualberta.ca) on 2011-01-11T19:54:26Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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