Statistical Robust Beamforming for Broadcast Channels and Applications in Satellite Communication
Published on 14. December 2020
Book
Paperback/Softback
XXV, 245 pages
978-3-030-29580-6 (ISBN)
Description
This book investigates adaptive physical-layer beamforming and resource allocation that ensure reliable data transmission in the multi-antenna broadcast channel. The book provides an overview of robust optimization techniques and modelling approximations to deal with stochastic performance metrics. One key contribution of the book is a closed-form description of the achievable rates with unlimited transmit power for a rank-one channel error model. Additionally, the book provides a concise duality framework to transform mean square error (MSE) based beamformer designs, e.g., quality of service and balancing optimizations, into equivalent uplink filter designs. For the algorithmic solution, the book analyses the following paradigm: transmission to receivers with large MSE targets (low demands) is switched off if the transmit power is low. The book also studies chance constrained optimizations for limiting the outage probability. In this context, the book provides two novel conservative outage probability approximations, that result in convex beamformer optimizations. To compensate for the remaining inaccuracy, the book introduces a post-processing power allocation. Finally, the book applies the introduced beamformer designs for SatCom, where interference from neighboring spotbeams and channel fading are the main limitations.
More details
Series
Edition
2020 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
42 farbige Abbildungen
XXV, 245 p. 42 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
474 gr
ISBN-13
978-3-030-29580-6 (9783030295806)
DOI
10.1007/978-3-030-29578-3
Schweitzer Classification
Other editions
Additional editions
Andreas Gründinger
Statistical Robust Beamforming for Broadcast Channels and Applications in Satellite Communication
Book
12/2019
Springer
€106.99
Shipment within 7-9 days
Person
Andreas Gründinger was born in Landshut (Germany) on October 13th, 1981. After secondary school, he started an apprenticeship as industrial electrician at BMW in Landshut, which he finished with high distinction in 2001. Three years later, he got the university acceptance, again with high distinction, from the local vocational high school. Andreas started his university studies in 2004 and received the B.Sc. degree in electrical engineering and M.Sc.(hons) in systems of information and multimedia technology, both from the Technische Universität München (TUM), Germany, in 2008 and 2010, respectively. From 2010 to 2015, he worked towards the doctoral degree in engineering at the Associate Institute for Signal Processing. He was recipient of the Qualcomm Innovation Fellowship Award in 2012 for his research proposal on coordinated communication in multi-satellite systems, authored and co-authored more than twenty conference papers and a journal paper and wrote two book chapters in "Communications in Interference Limited Networks". Since 2016, he is Development Engineer at the Center of Competence for Digital Signal Processing at Rohde & Schwarz, München, Germany. In 2018, he defended his dissertation on robust beamforming. His research interests include signal processing for wireless communications, with special emphasis on transceiver designs and resource allocation for MIMO systems, robust optimization, local and global optimization, and applications in satellite communication, massive MIMO, and relaying.
Content
Introduction.- Multi-User Downlink Communication.- Models for Incomplete Channel Knowledge.- Precoder Design for Ergodic Rates with Multiplicative Fading 53.- Average Mean Square Error Transceiver Design for Additive Fading.- Outage Constrained Beamformer Design.- Applications in Satellite Communication.- Summary, Conclusions, and Open Research on Robust Beamforming.- Conclusion.