MA1a: Predictive Intelligence for Next Generation Wireless Networks
Mon, 26 Oct, 08:15 - 09:55 PT (UTC -7)
Location: Room 1
Session Type: Lecture
Session Co-Chairs: Khac-Hoang Ngo, Linköpings Universitet, Sweden and Alejandro Lando Serrano, Universidad Carlos III de Madrid, Spain and Giuseppe Durisi, Chalmers University of Technology, Sweden
Track: Communication Systems
Mon, 26 Oct, 08:15 - 08:40 PT (UTC -7)

MA1a.1: Predictive Signal Strength from 3D Urban Images: Can Diffusion Models Replace Ray Tracing?
Arpan Das, Department of Electrical and Computer Engineering, The University of Texas at Austin, United States; Amitava Ghosh, Nokia, United States; Kaushik Chowdhury, Jeffrey Andrews, Department of Electrical and Computer Engineering, The University of Texas at Austin, United States
Mon, 26 Oct, 08:40 - 09:05 PT (UTC -7)

MA1a.2: Latent-Consistent Temporal Compression for Incremental CSI Feedback in Time-Varying Massive MIMO
Efstathios Chatziloizos, Linköping University / Ericsson Research, Sweden; Konstantinos Vandikas, Aneta Vulgarakis Feljan, Ericsson Research, Sweden; Zheng Chen, Nikolaos Pappas, Linköping University, Sweden
Mon, 26 Oct, 09:05 - 09:30 PT (UTC -7)

MA1a.3: Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels
Vishnu Teja Kunde, Jean-Francois Chamberland, Krishna Narayanan, Texas A&M University, United States; Jamison Ebert, Brigham Young University, United States
Mon, 26 Oct, 09:30 - 09:55 PT (UTC -7)

MA1a.4: Adaptive Rate-Splitting under Channel Uncertainty and Interference
David Garrido, Universidad Carlos III de Madrid, Spain; Marcos M. Vasconcelos, Florida State University, Spain; Borja Peleato, Universidad Carlos III de Madrid, Spain