TERA · Coding for terabit-per-second fiber-optical communications
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2017-04-01 → 2020-03-31
- Финансиране от ЕС
- 265 059 €
- Участници
- 2
- Схема
- MSCA-IF-GF
Линиите свързват координатора с партньорите.
Накратко на български
Оптичните влакна, които пренасят интернет трафика, се изследват чрез нови алгоритми за декодиране и изравняване на сигнала. Това помага за предаване на данни със скорост от терабити в секунда при по-ниска консумация на енергия.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Coding for terabit-per-second fiber-optical communications
Long-haul fiber-optic communication links carry virtually all intercontinental data traffic and are often referred to as the Internet backbone. In order to cope with the ever-increasing traffic demands due to Internet services such as video streaming or cloud computing, next-generation systems are soon required to adopt data rates in the order of terabits per second. The overall goal of this project was to enable the design of reliable and sustainable fiber-optic communication systems that operate at terabit-per-second data rates. To that end, we have studied both decoding and equalization algorithms for such systems. The overall purpose of these algorithms is (i) to ensure reliable data transmission in the presence of noise (in the case of decoding) and (ii) to compensate for propagation impairments such as chromatic dispersion and Kerr nonlinearities (in the case of equalization). The first of our three objectives in this project was to derive effective theoretical tools that allow for a rapid assessment of the code performance as a function of its design parameters. The other two objectives were aimed at addressing the growing problem of energy consumption in fiber-optic systems by designing low-complexity receiver algorithms, specifically decoding and equalization algorithms. Our work has particularly highlighted the fact that machine learning and data-driven approaches have a large potential to reduce complexity and could therefore play an important part in the future design of such systems.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
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.
Оригинален текст от CORDIS (на английски).
Участници
- CHALMERS TEKNISKA HOGSKOLA AB · GoteborgКоординаторШвеция
- DUKE UNIVERSITY · Durham NcСъединени щати
Връзки
Данни: CORDIS, © Европейски съюз