Statistical Robust Beamforming for Broadcast Channels and Applications in Satellite Communication

Gründinger, Andreas

Andreas Gründinger

Original title:: Statistical Robust Beamforming for Broadcast Channels and Applications in Satellite Communication
Translated title:: Statistisch Robustes Beamforming für den Broadcast Kanal und Anwendungen in der Satellitenkommunikation
Author:: Gründinger, Andreas
Year:: 2018
Document type:: Dissertation
Faculty/School:: Fakultät für Elektrotechnik und Informationstechnik
Advisor:: Utschick, Wolfgang (Prof. Dr.)
Referee:: Utschick, Wolfgang (Prof. Dr.); Castedo Ribas, Luis (Prof., Ph.D.)
Language:: en
Subject group:: ELT Elektrotechnik
TUM classification:: ELT 515d
Abstract:: Modern wireless communication systems exploit multi-path propagation for simultaneous data transmission from one transmitter to multiple receivers. Erroneous channel knowledge due to noise-prone estimation and delays can lead to increased interference at the receivers. The thesis investigates beamforming solutions that restrict the probability for associated data losses. Conservative approximations and efficient algorithms are developed for this problem and then evaluated for satellite communication. «
Modern wireless communication systems exploit multi-path propagation for simultaneous data transmission from one transmitter to multiple receivers. Erroneous channel knowledge due to noise-prone estimation and delays can lead to increased interference at the receivers. The thesis investigates beamforming solutions that restrict the probability for associated data losses. Conservative approximations and efficient algorithms are developed for this problem and then evaluated for satellite communica... »
Translated abstract:: Moderne Mobilfunksysteme nutzen die Mehrwegeausbreitung in der drahtlosen Funkkommunikation zur gleichzeitigen Datenübertragung an mehrere Empfänger. Fehlerhafte Kenntnis der Übertragungskanäle kann dabei zu erhöhter Interferenz führen. Diese Arbeit untersucht Lösungsansätze, um die Wahrscheinlichkeit daraus resultierender Datenverluste zu beschränken. Es werden konservative Abschätzungen untersucht, effiziente Algorithmen entwickelt und deren Anwendung in der Satellitenkommunikation bewertet.
Series:: Foundations in Signal Processing, Communications and Networking
Series volume:: 22
ISBN:: 978-3-030-29577-6
WWW:: https://mediatum.ub.tum.de/?id=1391967
Date of submission:: 20.11.2017
Oral examination:: 16.10.2018
Last change:: 31.01.2020
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