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Imperfect Channel Knowledge for Interference Avoidance

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. / Communications

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:AEU.10048/1740
Date06 1900
CreatorsLajevardi, Saina
ContributorsSchlegel, Christian (Computing Science), Nowrouzian Behrouz (Electrical and Computer Engineering), Cockburn, Bruce (Electrical and Computer Engineering), Nikolaidis, Iannis (Computing Science)
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
Languageen_US
Detected LanguageEnglish
TypeThesis
Format1070203 bytes, application/pdf

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