Optical amplification-free deep reservoir computing-assisted high-baudrate short-reach communicationShow others and affiliations
2023 (English)In: Optics Letters, ISSN 0146-9592, E-ISSN 1539-4794, Vol. 48, no 8, p. 2122-2125Article in journal (Refereed) Published
Abstract [en]
An optical amplification-free deep reservoir computing (RC)-assisted high-baudrate intensity modulation direct detection (IM/DD) system is experimentally demonstrated using a 100G externally modulated laser operated in C-band. We transmit 112 Gbaud 4-level pulse amplitude modulation (PAM4) and 100 Gbaud 6-level PAM (PAM6) signals over a 200-m single-mode fiber (SMF) link without any optical amplification. The decision feedback equalizer (DFE), shallow RC, and deep RC are adopted in the IM/DD system to mitigate impairment and improve transmission performance. Both PAM transmissions over a 200-m SMF with bit error rate (BER) performance below 6.25% overhead hard-decision forward error correction (HD-FEC) threshold are achieved. In addition, the BER of the PAM4 signal is below the KP4-FEC limit after 200-m SMF transmission enabled by the RC schemes. Thanks to the use of a multiple-layer structure, the number of weights in deep RC has been reduced by approximately 50% compared with the shallow RC, whereas the performance is comparable. We believe that the optical amplification-free deep RC-assisted high-baudrate link has a promising application in intra-data center communications.
Place, publisher, year, edition, pages
Optica Publishing Group (formerly OSA) , 2023. Vol. 48, no 8, p. 2122-2125
Keywords [en]
Amplification, Bit error rate, Decision feedback equalizers, Error correction, Optical communication, Single mode fibers, Baud rate, Bit-error rate, C-bands, Deep reservoirs, Externally modulated lasers, Intensity modulation/direct detection systems, Optical amplifications, Reservoir Computing, Shallow reservoirs, Single-mode fibers, Pulse amplitude modulation
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:ri:diva-66116DOI: 10.1364/OL.485830Scopus ID: 2-s2.0-85152545796OAI: oai:DiVA.org:ri-66116DiVA, id: diva2:1792026
Note
Funding. National Natural Science Foundation of China (U2006217, 61775015); China Scholarship Council (202107090113); National Key Research and Development Program of China (2018YFB1801500); Veten-skapsrådet (2019-05197, 2022-04798); H2020 ICT TWILIGHT Project (781471); ERDF-Funded RINGO project (1.1.1.1/21/A/052); RTU Science Support Fund.
2023-08-282023-08-282024-03-04Bibliographically approved