Talk of Prof. Ana Pérez-Neira






Ana Pérez-Neira



Learning in the Air: Smarter Terrestrial and Non-Terrestrial Networks with Efficient Access and Waveforms

Abstract

Wireless networks are undergoing a profound transformation driven by the convergence of machine learning (ML), Big Data, and machine-to-machine (M2M) communication. Rather than relying on distant cloud servers for processing, the shift is toward edge computing—bringing computation closer to the user or device, whether it's an autonomous vehicle or a smart camera. This approach reduces latency, conserves energy, and strengthens security. This work explores how these emerging technologies are set to revolutionize future wireless communication networks, enabling them not only to transmit but also to sense, process, and make decisions. Communication is evolving from mere data transfer to task-oriented interactions, where intelligent, semantic nodes selectively focus on the most relevant information—transmitting meaning, not just data. I begin by outlining the ongoing shift toward learning in the air—the integration of intelligence directly into the communication process. I then introduce a set of innovative techniques aimed at enhancing efficiency in task-oriented and semantic communications. These include: i) Computation with expressive neurons, ii) Over-the-air computing access and waveforms, and iii) Joint optimization of computing and radio resources. These concepts are applied to mobile edge computing in both terrestrial and next-generation space networks, where satellites will gain the capability to make autonomous decisions. Ultimately, this work envisions a future in which intelligence is embedded throughout the network—enabling faster, more efficient, and autonomous communication at every layer and location.




Biography

(ana.perez@cttc.es) is full professor at Universitat Politècnica de Catalunya in the Signal Theory and Communication department. Currently, she is the Director of Centre Tecnològic de Telecomunicacions de Catalunya - CTTC, Spain. Her research is in signal processing for communications, focused on satellite communications. She is a recipient for the 2018 EURASIP Society Award. She has been member of the BoG (2019-2023) of the IEEE SPS and Vice-President for conferences (2021-23). She is IEEE Fellow, EURASIP Fellow, member of the Real Academy of Science and Arts of Barcelona, and of the Real Academy of Engineering. She is awarded the ICREA Academia and has the Narcis Monturiol award by the Catalan government due to her research trajectory. She has been recognized in 2025 the Salvà Campillo Award for Outstanding Personality of the 30th Night of Telecommunications and IT.