Obiettivo We propose to develop the theoretical foundations of transforming memory into data rates, and to explore their practical ramifications in wireless communication networks.Motivated by the long-lasting open challenge to invent a communication technology that scales with the network size, we have recently discovered early indications of how preemptive use of distributed data-storage at the receiving communication nodes (well before transmission), can offer unprecedented throughput gains by surprisingly bypassing the dreaded bottleneck of real-time channel-feedback. For an exploratory downlink configuration, we unearthed a hidden duality between feedback and preemptive use of memory, which managed to doubly-exponentially reduce the needed memory size, and consequently offered unbounded throughput gains compared to all existing solutions with the same resources. This was surprising because feedback and memory were thought to be mostly disconnected; one is used on the wireless PHY layer, the other on the wired MAC.This development prompts our key scientific challenge which is to pursue the mathematical convergence between feedback-information-theory and preemptive distributed data-storage, and to then design ultra-fast memory-aided communication algorithms that pass real-life testing.This is a structurally new approach, which promises to reveal deep links between feedback information theory and memory, for a variety of envisioned wireless-network architectures of exceptional promise. In doing so, our new proposed theory stands to identify the basic principles of how a splash of memory can surgically alter the informational-structure of these networks, rendering them faster, simpler and more efficient. In the end, this study has the potential to directly translate the continuously increasing data-storage capabilities, into gains of wireless network capacity, and to ultimately avert the looming network-overload caused by these same indefinite increases of data volumes. Campo scientifico engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technology Programma(i) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Argomento(i) ERC-2016-COG - ERC Consolidator Grant Invito a presentare proposte ERC-2016-COG Vedi altri progetti per questo bando Meccanismo di finanziamento ERC-COG - Consolidator Grant Istituzione ospitante EURECOM GIE Contribution nette de l'UE € 1 978 777,83 Indirizzo ROUTE DES CHAPPES 450 CAMPUS SOPHIA ANTIPOLIS 06410 Biot Francia Mostra sulla mappa Regione Provence-Alpes-Côte d’Azur Provence-Alpes-Côte d’Azur Alpes-Maritimes Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 1 978 777,83 Beneficiari (1) Classifica in ordine alfabetico Classifica per Contributo netto dell'UE Espandi tutto Riduci tutto EURECOM GIE Francia Contribution nette de l'UE € 1 978 777,83 Indirizzo ROUTE DES CHAPPES 450 CAMPUS SOPHIA ANTIPOLIS 06410 Biot Mostra sulla mappa Regione Provence-Alpes-Côte d’Azur Provence-Alpes-Côte d’Azur Alpes-Maritimes Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 1 978 777,83