SS-8.2
PREDICTING FLAT-FADING CHANNELS VIA META-LEARNED CLOSED-FORM LINEAR FILTERS AND EQUILIBRIUM PROPAGATION
Sangwoo Park, Osvaldo Simeone, King’s College London, United Kingdom of Great Britain and Northern Ireland
Session:
Machine Learning in Beyond 5G Wireless Networks
Track:
Special Sessions
Location:
Gather Area A
Presentation Time:
Tue, 10 May, 21:00 - 21:45 China Time (UTC +8)
Tue, 10 May, 13:00 - 13:45 UTC
Tue, 10 May, 13:00 - 13:45 UTC
Session Co-Chairs:
Paolo Di Lorenzo, Sapienza University of Rome and Emilio Calvanese Strinati, Univ. Grenoble Alpes, CEA-Leti and Mattia Merluzzi, Univ. Grenoble Alpes, CEA-Leti
Session SS-8
SS-8.1: DEEP LEARNING FOR LOCATION BASED BEAMFORMING WITH NLOS CHANNELS
Luc Le Magoarou, Stéphane Paquelet, bcom, France; Taha Yassine, Matthieu Crussière, bcom and INSA Rennes, France
SS-8.2: PREDICTING FLAT-FADING CHANNELS VIA META-LEARNED CLOSED-FORM LINEAR FILTERS AND EQUILIBRIUM PROPAGATION
Sangwoo Park, Osvaldo Simeone, King’s College London, United Kingdom of Great Britain and Northern Ireland
SS-8.3: DEEP-LEARNING-ASSISTED CONFIGURATION OF RECONFIGURABLE INTELLIGENT SURFACES IN DYNAMIC RICH-SCATTERING ENVIRONMENTS
Kyriakos Stylianopoulos, George Alexandropoulos, National and Kapodistrian University of Athens, Greece; Nir Shlezinger, Ben-Gurion University of the Negev, Israel; Philipp del Hougne, Univ Rennes, France
SS-8.4: Supervised Learning based Sparse Channel Estimation for RIS aided Communications
Dilin Dampahalage, K. B. Shashika Manosha, Nandana Rajatheva, Matti Latva-aho, University of Oulu, Finland
SS-8.5: GOAL-ORIENTED COMMUNICATION FOR EDGE LEARNING BASED ON THE INFORMATION BOTTLENECK
Francesco Pezone, Sergio Barbarossa, Paolo Di Lorenzo, Sapienza University of Rome, Italy
SS-8.6: RESOURCE ALLOCATION AND DITHERING OF BAYESIAN PARAMETER ESTIMATION USING MIXED-RESOLUTION DATA
Itai E. Berman, Tirza Routtenberg, Ben Gurion University of the Negev, Israel