Statistical Robust Beamforming for Broadcast Channels and Applications in Satellite Communication

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.

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.