Advanced coding techniques for few mode transmission systems

Okonkwo, Chigo; Uden, Roy van; Chen, Haoshuo; Waardt, H. de; Koonen, Ton

doi:10.1364/oe.23.001411

Cited by 20 publications

(7 citation statements)

References 26 publications

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“…(13). This signal may be employed either as a clock signal for the analog to digital converter (adc) [26], or as a reference signal to achieve linearization of the sweep in dsp, as discussed in this work.…”

Section: Linearization Of the Sweepmentioning

confidence: 99%

“…For the mimo equalizer to recover the original signals despite significant mode-mixing in fm-mcfs, mode-dependent loss (mdl) must be small, while mode scrambling at the transmitter improves tolerance to system mdl [7] without requiring additional coding which may also improve tolerance to mdl [12,13]. System capacity is maximized if all modes supported by the fiber are used to transmit information [7,14].…”

Section: Introductionmentioning

confidence: 99%

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Few-mode fiber, splice and SDM component characterization by spatially-diverse optical vector network analysis

Rommel¹,

Mendinueta²,

Klaus³

et al. 2017

Opt. Express

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Document VersionPublisher's PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication:• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication Citation for published version (APA):Rommel, S., Delgado Mendinueta, J. M., Klaus, W., Sakaguchi, J., Vegas Olmos, J. J., Awaji, Y., ... Wada, N. (2017). Few-mode fiber, splice and SDM component characterization by spatially-diverse optical vector network analysis. Optics Express, 25(19), 22347-22361. DOI: 10.1364/OE.25.022347 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Abstract: This paper discusses spatially diverse optical vector network analysis for space division multiplexing (SDM) component and system characterization, which is becoming essential as SDM is widely considered to increase the capacity of optical communication systems. Characterization of a 108-channel photonic lantern spatial multiplexer, coupled to a 36-core 3-mode fiber, is experimentally demonstrated, extracting the full impulse response and complex transfer function matrices as well as insertion loss (IL) and mode-dependent loss (MDL) data. Moreover, the mode-mixing behavior of fiber splices in the few-mode multi-core fiber and their impact on system IL and MDL are analyzed, finding splices to cause significant mode-mixing and to be non-negligible in system capacity analysis.

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Section: Linearization Of the Sweepmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Few-mode fiber, splice and SDM component characterization by spatially-diverse optical vector network analysis

Rommel¹,

Mendinueta²,

Klaus³

et al. 2017

Opt. Express

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“…The channels are modulated with a 10 GBaud QPSK pseudo random bit sequence (PRBS) of length 2 15 using an IQ modulator driven by two synchronized digital analog converters (DACs). This sequence is generated using a novel round-robin (RR) encoder which is based on a space-time code [21]. The round-robin coding averages the overall system performance by allocating time slots of data channels over all the transmitted spatial channels.…”

Section: Transmitter Sidementioning

confidence: 99%

10 Spatial mode transmission using low differential mode delay 6-LP fiber using all-fiber photonic lanterns

Weerdenburg¹,

Velázquez-Benítez²,

Uden³

et al. 2015

Opt. Express

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To unlock the cost benefits of space division multiplexing transmission systems, higher spatial multiplicity is required. Here, we investigate a potential route to increasing the number of spatial mode channels within a single core few-mode fiber. Key for longer transmission distances and low computational complexity is the fabrication of fibers with low differential mode group delays. As such in this work, we combine wavelength and mode-division multiplexed transmission over a 4.45 km low-DMGD 6-LP-mode fiber by employing low-loss all-fiber 10-port photonic lanterns to couple light in and out of the fiber. Hence, a minimum DMGD of 0.2 ns (maximum 0.357 ns) is measured after 4.45 km. Instrumental to the multi-mode transmission system is the employed time-domain-SDM receiver, allowing 10 spatial mode channels (over both polarizations) to be captured using only 3 coherent receivers and real-time oscilloscopes in comparison with 10 for conventional methods. The spatial channels were unraveled using 20 × 20 multiple-input multiple-output digital signal processing. By employing a novel round-robin encoding technique, stable performance over a long measurement period demonstrates the feasibility of 10x increase in single-core multi-mode transmission.

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“…Recent advancement of space-divisionmultiplexing (SDM) technology 1 has enabled the possibility of applying multi-dimensional modulation formats 2 and/or coding across multicore fiber (MCF) cores 3 or fiber modes 4,5 . In particular, the relative uniformity of transmission characteristics among cores of an MCF 6 enables the possibility of combining such techniques with transmission schemes designed to gain advantages of MCF use beyond just multiplying capacity.…”

Section: Introductionmentioning

confidence: 99%

Linear block-coding across >5 Tb/s PDM-64QAM spatial-super-channels in a 19-core fiber

Puttnam

Luís

Mendinueta

et al. 2015

2015 European Conference on Optical Communication (ECOC)

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Advanced coding techniques for few mode transmission systems

Cited by 20 publications

References 26 publications

Few-mode fiber, splice and SDM component characterization by spatially-diverse optical vector network analysis

Few-mode fiber, splice and SDM component characterization by spatially-diverse optical vector network analysis

10 Spatial mode transmission using low differential mode delay 6-LP fiber using all-fiber photonic lanterns

Linear block-coding across >5 Tb/s PDM-64QAM spatial-super-channels in a 19-core fiber

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Advanced coding techniques for few mode transmission systems

Cited by 20 publications

References 26 publications

Few-mode fiber, splice and SDM component characterization by spatially-diverse optical vector network analysis

Few-mode fiber, splice and SDM component characterization by spatially-diverse optical vector network analysis

10 Spatial mode transmission using low differential mode delay 6-LP fiber using all-fiber photonic lanterns

Linear block-coding across &#x003E;5 Tb/s PDM-64QAM spatial-super-channels in a 19-core fiber

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Linear block-coding across >5 Tb/s PDM-64QAM spatial-super-channels in a 19-core fiber