Cybernetic Communication Networks: Fundamental Limits and Engineering Challenges

Informacje na temat projektu

CYBERNETS

Identyfikator umowy o grant: 659316

DOI 10.3030/659316

Projekt zamknięty

Data podpisania przez KE 14 Kwietnia 2015

Data rozpoczęcia 1 Czerwca 2015

Data zakończenia 31 Maja 2017

Finansowanie w ramach

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Koszt całkowity € 185 076,00

Wkład UE € 185 076,00

Koordynowany przez

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France

Cel

This Reintegration Panel proposal, CYBERNETS, focuses on the study of Cybernetic Communication Networks (CCN). CCNs are wireless networks that are context-aware, possess learning capabilities and artificial intelligence to guarantee reliability, efficiency and resilience to changes, failures or attacks via autonomous, self-configuring and self-healing individual and network behavior. Typical examples of CCNs are beyond-5G cellular systems and critical communication systems, e.g. law enforcement, disaster relief, body- area, medical instruments, space, and indoor/outdoor commercial applications. A practical implementation of a CCN requires extending classical communication systems to embrace the dynamics of fully decentralized systems whose components might exhibit either cooperative, non-cooperative or even malicious behaviors to improve individual and/or global performance. In this context, CYBERNETS aims to develop a relevant understanding of the interactions between information theory, game theory and signal processing to tackle two particular problems from both theoretical and practical perspectives: (I) use of feedback and (II) behavior adaptation in fully decentralized CCNs. In the former, the main objectives are: (i) to determine the fundamental limits of data transmission rates in CCNs with feedback; and (ii) to develop and test in real-systems, transmit-receive configurations to provide a proof-of-concept of feedback in CCNs. For the achievement of these practical objectives, CYBERNETS relies on the world-class testbed infrastructure of INRIA at the CITI Lab for fully closing the gap between theoretical analysis and real-system implementation. In the latter, the main objectives are: (i) to identify and explore alternatives for allowing transmitter-receiver pairs to learn equilibrium strategies in CCNs with and without feedback; (ii) to study the impact of network-state knowledge on scenarios derived from the malicious behavior of network components.

Dziedzina nauki

• natural sciences › computer and information sciences › artificial intelligence
• social sciences › law › law enforcement
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › signal processing
• natural sciences › mathematics › applied mathematics › game theory

Program(-y)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Temat(-y)

• MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF)

Zaproszenie do składania wniosków

H2020-MSCA-IF-2014

System finansowania

MSCA-IF-EF-RI - RI – Reintegration panel

Koordynator

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE

• Wkład UE netto: € 185 076,00
• Adres: DOMAINE DE VOLUCEAU ROCQUENCOURT ; 78153 Le Chesnay Cedex ; Francja
• Region: Ile-de-France › Ile-de-France › Yvelines
• Rodzaj działalności: Research Organisations
• Koszt całkowity: € 185 076,00