Multimode-based short-reach optical communication systems: versatile design framework

Koltchanov, Igor; Sokolov, E.; Navitskaya, Roza; Uvarov, Alexander; Richter, André

doi:10.1117/12.2545927

Cited by 1 publication

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“…Internet traffic within and between data centers is growing rapidly, particularly driven by the demand for bandwidth-intensive applications such as cloud computing, live streaming, and online games. Therefore, there is an urgent need for the design and deployment of higher capacity optical communication links in inter-and intra-datacenter networks (DCNs), where the intra-DCN link is usually up to hundreds of meters long, and the length of datacenter inter connection (DCI) link is usually up to tens of kilometers [5]. For the sake of solving the bandwidth limitation of traditional wavelength division multiplexing (WDM) networks, flexible bandwidth optical networking has been applied to intra and inter datacenter networking.…”

Section: Introductionmentioning

confidence: 99%

“…To enhance the channel capacity in multi-mode fiber intra-data center links, higher symbol rates and multi-level modulation formats have been used [6]. In addition, the latest standard can use four-level pulse amplitude modulation (PAM-4) to achieve a signal transmission rate of 25 Gbaud to support shortwave wavelength division multiplexing (SWDM) for intra-DCN [5]. Multi-mode fiber links with SWDM technology can help data centers to further upgrade to 40 G and 100 G Ethernet by using vertical-cavity surface-emitting lasers (VCSELs) and lasers optimized OM3/OM4 multi-mode optical fibers [7].…”

Section: Introductionmentioning

confidence: 99%

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Machine Learning Applications for Short Reach Optical Communication

et al. 2022

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With the rapid development of optical communication systems, more advanced techniques conventionally used in long-haul transmissions have gradually entered systems covering shorter distances below 100 km, where higher-speed connections are required in various applications, such as the optical access networks, inter- and intra-data center interconnects, mobile fronthaul, and in-building and indoor communications. One of the techniques that has attracted intensive interests in short-reach optical communications is machine learning (ML). Due to its robust problem-solving, decision-making, and pattern recognition capabilities, ML techniques have become an essential solution for many challenging aspects. In particular, taking advantage of their high accuracy, adaptability, and implementation efficiency, ML has been widely studied in short-reach optical communications for optical performance monitoring (OPM), modulation format identification (MFI), signal processing and in-building/indoor optical wireless communications. Compared with long-reach communications, the ML techniques used in short-reach communications have more stringent complexity and cost requirements, and also need to be more sensitive. In this paper, a comprehensive review of various ML methods and their applications in short-reach optical communications are presented and discussed, focusing on existing and potential advantages, limitations and prospective trends.

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Section: Introductionmentioning

confidence: 99%