MA6b2: Multiuser and Massive MIMO
Mon, 30 Oct, 10:15 - 11:55 PT (UTC -8)
Location: Kiln
Session Type: Poster
Session Chair: Canan Cebeci, University of California, Santa Barbara
Track: MIMO Communications and Signal Processing

MA6b2.1: DFT-Based Channel Estimation for Holographic MIMO
Antonio Alberto D'Amico, Giacomo Bacci, Luca Sanguinetti, University of Pisa, Italy

MA6b2.2: Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling
Nurettin Turan, Benedikt Fesl, Wolfgang Utschick, Technical University of Munich, Germany

MA6b2.3: Device Detection and Channel Estimation in MTC with Correlated Activity Pattern
Hamza Djelouat, Mikko Sillanpää, Markku Juntti, University of Oulu, Finland

MA6b2.4: PAPR Reduction Utilizing Difference in Singular Values Among Spatial Channels in Uplink Eigenmode Massive MIMO Transmission
Yuta Abekura, Kenichi Higuchi, Tokyo University of Science, Japan

MA6b2.5: The Impact of SAR-ADC Mismatch on Quantized Massive MU-MIMO Systems
Jérémy Guichemerre, Christoph Studer, ETH Zurich, Switzerland

MA6b2.6: Enhanced Data Detection for Massive MIMO with 1-Bit ADCs
Amin Radbord, Italo Atzeni, Antti Tölli, University of Oulu, Finland

MA6b2.7: A Fourier Analysis of Digital Beamforming with Severely Quantized mmWave Arrays
Canan Cebeci, Upamanyu Madhow, University of California, Santa Barbara, United States

MA6b2.8: Reinforcement Learning-Based Weak Signal Detection from Compressed Measurements in Massive MIMO Systems
Md Saidur Rahman Pavel, Yimin Zhang, Temple University, United States