Objective The goal of the project is to develop energy-efficient and scalable designs for distributed mobile networks operated by renewable energy sources, and with very limited signaling overhead and computational complexity. The project will design wireless networks, composed by smart nodes, which are able to perform the following tasks: 1) Self-configure, autonomously allocating their own physical layer radio resources through energy-efficient, feedback-aware, and complexity-aware radio resource allocation. 2) Self-sustain by harvesting energy from renewable and intermittent energy sources, such as solar and wind, as well as from dedicated radio frequency signals present over the air. 3) Sharing or trading energy with other network nodes in order to prolong the lifetime of nodes which are low on battery and to obtain a more fair energy distribution across the whole network. The long-term vision of the project is to kick-start a paradigm shift from core-centric, throughput-optimized networks, towards device-centric, energy-optimized networks. The development of autonomous, energy-independent, and self-organizing wireless networks will enable: a) 100% coverage in urban environments in a power efficient manner; b) network coverage in remote/developing areas where currently it is commercially unattractive to do so. These advancements will make the vision of a connected society sustainable, almost zeroing the operational expenses related to power and hence revolutionizing the business models for ICT by radically reducing energy costs. This will also facilitate the rise of new markets and applications in remote areas, which contributes to closing the digital divide between densely populated and scarcely populated or rural areas. Fields of science engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradio frequencyengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5Gengineering and technologyenvironmental engineeringenergy and fuelsrenewable energynatural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learningnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) 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 Topic(s) MSCA-IF-2016 - Individual Fellowships Call for proposal H2020-MSCA-IF-2016 See other projects for this call Funding Scheme MSCA-IF-EF-ST - Standard EF Coordinator CENTRALESUPELEC Net EU contribution € 173 076,00 Address Plateau de moulon 3 rue joliot curie 91192 Gif sur yvette France See on map Region Ile-de-France Ile-de-France Essonne Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
