TA1a: Model-based learning for array processing
Tue, 29 Oct, 08:15 - 09:55 PT (UTC -7)
Location: Heather
Session Type: Lecture
Track: Array Processing and Multisensor Systems
Tue, 29 Oct, 08:15 - 08:40 PT (UTC -7)

TA1a.1: Optimization of Iterative Blind Detection based on Expectation Maximization and Belief Propagation
Luca Schmid, Karlsruhe Institute of Technology, Germany; Tomer Raviv, Nir Shlezinger, Ben-Gurion University of the Negev, Israel; Laurent Schmalen, Karlsruhe Institute of Technology, Germany
Tue, 29 Oct, 08:40 - 09:05 PT (UTC -7)

TA1a.2: Enhancing Off-Grid One-Bit DOA Estimation with Learning-based Sparse Bayesian Approach for Non-Uniform Sparse Array
Yunqiao Hu, Shunqiao Sun, The University of Alabama, United States; Yimin D. Zhang, Temple University, United States
Tue, 29 Oct, 09:05 - 09:30 PT (UTC -7)

TA1a.3: Codebook-Based Downlink Beamforming with Imperfect CSI using Model-Driven Deep Learning
Lukas Schynol, Moritz Hemsing, Marius Pesavento, Technical University of Darmstadt, Germany
Tue, 29 Oct, 09:30 - 09:55 PT (UTC -7)

TA1a.4: Learning Power Control Policies for Non-stationary Multiuser Wireless Networks
Reza Ramezanpour, Santiago Segarra, Ashutosh Sabharwal, Rice University, United States