TP8b-2.6

Generative vs. Predictive Models in Massive MIMO Channel Prediction

Juhyung Lee, Joohan Lee, Andreas F. Molisch, University of Southern California, United States
Session:
TP8b-2: Massive MIMO Poster
Track:
MIMO Communications and Signal Processing
Location:
Poster - Kiln
Presentation Time:
Tue, 29 Oct, 15:30 - 17:35 PT (UTC -8)
Session Chair:
Robert Heath, University of California, San Diego
Presentation
Discussion
Resources
No resources available.
Session TP8b-2
TP8b-2.1: End-to-End Power Minimization for Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul
Ozan Alp Topal, KTH Royal Institute of Technology, Sweden; Özlem Tuğfe Demir, TOBB University of Economics and Technology, Turkey; Emil Björnson, Cicek Cavdar, KTH Royal Institute of Technology, Sweden
TP8b-2.2: Fast and Robust Expectation Propagation MIMO Detection via Preconditioned Conjugated Gradient
Luca Schmid, Karlsruhe Institute of Technology, Germany; Dominik Sulz, University of Tübingen, Germany; Laurent Schmalen, Karlsruhe Institute of Technology, Germany
TP8b-2.3: Decentralized Multi-Antenna Architectures with Unitary Constraints
Juan Vidal Alegría, Ove Edfors, Lund University, Sweden
TP8b-2.4: Optimal Detection in MIMO Systems using Spatial Sigma-Delta ADCs
Toan-Van Nguyen, Sajjad Nassirpour, San Diego State University, United States; Italo Atzeni, Antti Tolli, Oulu University, Finland; A. Lee Swindlehurst, University of California, Irvine, United States; Duy H. N. Nguyen, San Diego State University, United States
TP8b-2.5: SRS Compression for Cloud RAN Massive MIMO
Javad Abdoli, Avik Sengupta, Daewon Lee, Bishwarup Mondal, Intel Corporation, United States
TP8b-2.6: Generative vs. Predictive Models in Massive MIMO Channel Prediction
Juhyung Lee, Joohan Lee, Andreas F. Molisch, University of Southern California, United States
Contacts