Identification for Multi-Antenna Gaussian Channels
Konferenz: WSA 2021 - 25th International ITG Workshop on Smart Antennas
10.11.2021 - 12.11.2021 in French Riviera, France
Tagungsband: ITG-Fb. 300: WSA 2021
Seiten: 6Sprache: EnglischTyp: PDF
Autoren:
Labidi, Wafa (Technical University of Munich, Chair of Theoretical Information Technology, Munich, Germany)
Deppe, Christian (Technical University of Munich, Institute for Communications Engineering, Munich, Germany)
Boche, Holger (Technical University of Munich, Chair of Theoretical Information Technology, Munich, Germany & CASA – Cyber Security in the Age of Large-Scale Adversaries– Exzellenzcluster, Ruhr-Universität Bochum, Germany & Munich Center for Quantum Science and Technology (MCQST), Munich, Germany)
Inhalt:
We analyze message identification via single-user multi-antenna Gaussian channels, which is part of the Post Shannon theory. For applications like machine-to-machine and human-to-machine communications, the identification approach of Ahlswede and Dueck is much more efficient than the classical message transmission scheme proposed by Shannon. Previous studies concentrate mainly on identification over discrete channels. We consider Multiple-Input Multiple-Output (MIMO) Gaussian channels and provide a single-letter characterization on the corresponding identification capacity. We provide an efficient signal-processing scheme. This scheme allows us to separate signal-processing and Gaussian coding.