Objectif The goal of this project is to improve the performance and efficiency of fiber-optic communication systems that operate at terabit-per-second data rates. This goal will be realized by analyzing and optimizing the error-correcting codes used by these systems.Our first objective is to derive a finite-length scaling law which characterizes the code performance as a function of the code length (in bits). As a major novelty, we consider deterministic codes, which can fulfill the stringent requirements of terabit-per-second systems in terms of target bit error rates and hardware implementation. A scaling law can be used, for example, to rapidly assess the code performance in order to identify trade-offs and optimize system parameters. It thus constitutes a fundamental tool in order to design next-generation systems and to further push the limits of fiber-optic data transport.Our second objective is to reduce the decoding complexity. Current algorithms waste resources (power) because they do not exploit valuable information that is exposed during the decoding process. We minimize complexity by designing efficient component code selection strategies. We will also theoretically analyze the expected complexity savings, in particular in the regime where the noise level approaches the code’s threshold. The development of low-complexity decoding algorithms plays an important role in the design of energy-efficient fiber-optic systems decoding contributes substantially to the overall energy consumption. Therefore, this work will help to ensure that future data traffic demands can be met in a sustainable way.Our results are broadly applicable also for Flash memory systems, vehicular communication networks, and the computation of sparse fast Fourier transforms. Champ scientifique natural sciencescomputer and information sciencesinternetnatural sciencescomputer and information sciencesartificial intelligencemachine learningengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksoptical networksfiber-optic networksocial scienceslawnatural 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 Thème(s) MSCA-IF-2016 - Individual Fellowships Appel à propositions H2020-MSCA-IF-2016 Voir d’autres projets de cet appel Régime de financement MSCA-IF-GF - Global Fellowships Coordinateur CHALMERS TEKNISKA HOGSKOLA AB Contribution nette de l'UE € 265 059,00 Adresse - 412 96 GOTEBORG Suède Voir sur la carte Région Södra Sverige Västsverige Västra Götalands län Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 265 059,00 Partenaires (1) Trier par ordre alphabétique Trier par contribution nette de l'UE Tout développer Tout réduire Partenaire Les organisations partenaires contribuent à la mise en œuvre de l’action, mais ne signent pas la convention de subvention. DUKE UNIVERSITY États-Unis Contribution nette de l'UE € 0,00 Adresse ALLEN BUILDING 207 27708 Durham Nc Voir sur la carte Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 172 130,40
