Nonlinearity Tolerant High-speed DMT Transmission with 1.5-μm Single-mode VCSEL and Multi-core Fibers for Optical InterconnectsShow others and affiliations
2019 (English)In: Journal of Lightwave Technology, ISSN 0733-8724, E-ISSN 1558-2213, Vol. 37, no 2, p. 380-388Article in journal (Refereed) Published
Abstract [en]
We experimentally demonstrate the generation of 107-Gbit/s net-rate optical discrete multitone (DMT) signal using a 1.5-μm single-mode vertical cavity surface emitting laser (VCSEL) with modulation bandwidth of 22-GHz. Utilizing a nonlinearity-tolerant channel equalization algorithm for digital signal processing (DSP), total net-rates of 726.6-Gbit/s over 2.5-km dispersion-uncompensated 7-core fiber and 533.1-Gbit/s over 10-km dispersion-compensated 7-core fiber below 7% overhead hard-decision forward error correction (HD-FEC) limit have been experimentally achieved with a 1.5-μm VCSEL based intensity-modulation direct-detection (IM/DD) system. The features of the 1.5-μm single-mode VCSEL, 2.5-km/10km multi-core fibers and fan-in/fan-out modules are presented. Besides, the Volterra series based nonlinearity-tolerant channel equalization algorithm, which improves the signal-to-noise ratio (SNR) with more than 5-dB, is mathematically described and experimentally validated. The results have demonstrated that 1.5-μm single-mode VCSEL and multi-core fiber based transmission can be a promising candidate to solve the capacity challenges in short-reach optical interconnects.
Place, publisher, year, edition, pages
2019. Vol. 37, no 2, p. 380-388
Keywords [en]
Vertical cavity surface emitting lasers, Optical fibers, High-speed optical techniques, Optical fiber dispersion, Optical fiber networks, Vertical cavity surface emitting laser (VCSEL), discrete multitone (DMT), multi-core fiber (MCF), digital signal processing (DSP), Volterra series model, nonlinearity-tolerant channel equalization
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-34343DOI: 10.1109/JLT.2018.2851746Scopus ID: 2-s2.0-85049320190OAI: oai:DiVA.org:ri-34343DiVA, id: diva2:1237025
2018-08-072018-08-072024-03-11Bibliographically approved