H2020Докторантска мрежа2016–2020

COIN · Coding for Optical communications In the Nonlinear regime

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2016-03-01 → 2020-02-29
Финансиране от ЕС: 1 073 894 €
Участници: 3
Схема: MSCA-ITN-EID

Линиите свързват координатора с партньорите.

Накратко на български

Оптичните влакна се изследват чрез нови методи за кодиране и модулация, за да се преодолеят смущенията при предаване на данни. Това помага за увеличаване на капацитета на комуникационните мрежи, тъй като потребността от трансфер на информация расте бързо.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Coding for Optical communications In the Nonlinear regime

The question of how to ensure the availability of ubiquitous, high-capacity, low-delay, resilient and secure digital infrastructure, likely to transform and improve people’s lives, underpinned COIN, focusing on how to achieve the increases in the usable optical fibre bandwidths, per wavelength modulation rates as well as spectral efficiency. The growth of social media, video and new services continues at 40% per year and the capacity to carry this data is lagging behind. This presents dramatic consequences to the economy, rationing demand or raising prices. The project COIN aimed to close this gap due to nonlinear properties of the optical fibre, and to develop nonlinear modulation, coding, and detection methods, tailored to the nonlinear channel, to dramatically improve the data throughput of future communication networks. The COIN research focused on one of society’s greatest technical challenges and economic drivers with impact on knowledge, economy, society and people as well as business and government activities. between the collaborators to promote career opportunities of the COIN researchers in ICT, generating new types of key expertise and human capital for the European Research Area.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The rapid increase in data traffic in the past years and traffic forecasts will lead to capacity exhaust in the optical fibre communications infrastructure which carries over 95% of all data services. The optical fibre channel is nonlinear, that is, its properties, namely its refractive index, is dependent on optical intensity, and at high power densities, the combination of nonlinear effects and dispersion leads to nonlinear distortion, limiting both achievable capacities, spectral efficiencies and distances. A key research area requiring investigation is nonlinear coding and detection, tailored to the nonlinear channel to dramatically improve the data throughput of future optical networks. New R&D is critically needed not only for finding new native nonlinear communication techniques but also transferring them into practical, error-resilient systems. The COIN objective is, thus, the development of a new area of nonlinear communications including forward error correction, essential for reliable communication. Specifically, COIN will investigate the application of nonlinear Fourier transforms and nonlinearity-tailored coding and detection by effectively integrating the scientific expertise of the key academic research groups in information theory, coding, coherent optical communication and high-speed transmission with the industrial know-how of the consortium. The COIN R&D goals will be to focus on the development of new, native communication schemes and waveforms alongside with the development of coding schemes for these and existing non-linear Fourier transform based transceivers. The R&D tasks will be carried out along with researcher training in the leading scientific centres in Europe. The PhD training programme is designed to maximize the unique synergy between the collaborators to promote career opportunities of the COIN researchers in ICT, generating new types of key expertise and and human capital for the European Research Area.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITY COLLEGE LONDON · LondonКоординаторОбединеното кралство
CHALMERS TEKNISKA HOGSKOLA AB · GoteborgШвеция
NOKIA SOLUTIONS AND NETWORKS GMBH AND CO KG · MUNCHENГермания