IEEE International Conference on Machine Learning for Communication and Networking
5–8 May 2024 // Stockholm, Sweden

Student Presentations

Student Presentations

Time: 13:30-14:30, Wednesday, May 8
Location: Exhibition Area

AI Empowered Physical Layer Abstraction for the 5G Random Access Channel:
Daniel Alarcón-Martín (University of Málaga, Spain); Mari Carmen Aguayo-Torres (Universidad de Malaga, Spain); Francisco J. Martin-Vega and Gerardo Gomez (University of Málaga, Spain)

Latent Space Alignment for Semantic Channel Equalization:
Tomas Huttebraucker (CEA, France); Mohamed Sana (CEA LETI Grenoble, France); Emilio Calvanese Strinati (CEA-LETI, France)

Frequency Modulation for Task-Oriented Communications and Multiple Access:
Marc Martinez-Gost (Centre Tecnològic de Telecomunicacions de Catalunya & Universitat Politècnica de Catalunya, Spain); Ana Pérez-Neira (CTTC, Spain); Miguel Angel Lagunas (Telecommunications Technological Center of Catalonia, Spain)

Multi-Agent Deep Reinforcement Learning for Distributed Satellite Routing:
Federico Lozano-Cuadra (University of Malaga, Spain); Beatriz Soret (Universidad de Malaga, Spain)

Centimeter Positioning Accuracy Using AI/ML for 6G Applications:
Sai Prasanth Kotturi and Radha Krishna Ganti (Indian Institute of Technology Madras, India)

Work-In-Progress: Adversarial Steering Attacks on Reinforcement Learning-Enabled Covert Communication Systems:
Alyse M Jones (Virginia Tech & National Security Institute, USA); Harpreet S Dhillon and William C Headley (Virginia Tech, USA)

Distributed Learning Framework for Earth Observation on Multilayer Non-Terrestrial Networks:
David Naseh, Swapnil Shinde and Daniele Tarchi (University of Bologna, Italy)