TH2.PA1: Information and Communications
Thu, 29 Aug, 14:00 - 15:40 France Time (UTC +1)
Location: Poster Area 1
Session Type: Poster
Session Chair: Alexis Decurninge, Huawei Technologies France
Track: SPCN - Signal processing for communications

TH2.PA1.1: Hybrid Grover search for AUD on a NISQ device

Romain Piron, Claire Goursaud, Université de Lyon, INSA Lyon, INRIA, CITI EA 3720, France

TH2.PA1.2: DYNAMIC RELATIVE REPRESENTATIONS FOR GOAL-ORIENTED SEMANTIC COMMUNICATIONS

Simone Fiorellino, Sapienza University of Rome, Italy; Claudio Battiloro, Harvard University, United States; Emilio Calvanese Strinati, CEA Leti, France; Paolo Di Lorenzo, Sapienza University of Rome, CNIT, Italy

TH2.PA1.4: Deep Learning Compressed Sensing-Based Channel Estimation for Massive MISO Systems

Keke Zu, University of Electronic Science and Technology of China, China; Yuhan He, Yu Yuan, Shenzhen University, China; Yi Wang, Qiang Liu, Kun Yang, University of Electronic Science and Technology of China, China; Martin Haardt, Ilmenau University of Technology, Germany

TH2.PA1.6: Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels

Sajad Daei, Gabor Fodor, Mikael Skoglund, KTH royal institute of technology, Sweden

TH2.PA1.7: MATCHING SALEH AND VOLTERRA SERIES MODEL

Arthur Louchart, IMT Nord Europe, France; Inbar Fijalkow, ENSEA, France

TH2.PA1.8: ROBUST SAMPLING METHODS FOR ACCURATE POWER FLOW TIME-SWEEP APPROXIMATIONS WITH GRAPH NEURAL NETWORKS

Valentin Bolz, Johannes Rueß, DIgSILENT GmbH, Germany; Andreas Zell, University of Tübingen, Germany

TH2.PA1.9: SPARSE CODING TECHNIQUES FOR ADJUSTABLE LOSSY COMPRESSION OF BASEBAND SIGNALS IN CENTRALIZED AND VIRTUALIZED COMMUNICATION SYSTEMS

Thibault Piana, Safran Data Systems, France; Abdeldjalil Aïssa-El-Bey, Matthieu Arzel, IMT Atlantique, France; Alain Thomas, Safran Data Systems, France

TH2.PA1.10: Learning on JPEG-LDPC Compressed Images: Classifying with Syndromes

Ahcen Aliouat, Elsa Dupraz, IMT Atlantique, CNRS UMR 6285, Lab-STICC, France

TH2.PA1.11: Jamming Detection for Low-Resolution SC-FDE Systems: A Machine Learning Approach

Junghoon Kim, Miguel Castellanos, North Carolina State University, United States; Arupjyoti Bhuyan, Idaho National Laboratory, United States; Robert Heath, University of California, San Diego, United States