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High Spectral Efficiency Long-wave Infrared Free-Space Optical Transmission with Multilevel Signals
KTH Royal Institute of Technology, Sweden; Beijing Jiaotong University, China.
KTH Royal Institute of Technology, Sweden.
Beijing Jiaotong University, China.
KTH Royal Institute of Technology, Sweden.
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2023 (English)In: Journal of Lightwave Technology, ISSN 0733-8724, E-ISSN 1558-2213Article in journal (Refereed) Epub ahead of print
Abstract [en]

This study explores the potential of long-wave infrared free-space optical (FSO) transmission that leverages multilevel signals to attain high spectral efficiency. The FSO transmission system consists of a directly modulated-quantum cascade laser (DM-QCL) operating at 9.15 μm and a mercury cadmium telluride (MCT) detector. To fully understand the system, we conduct measurements on the DM-QCL chip and MCT detector and assess the overall amplitude response of the DM-QCL, MCT detector, and all electrical components. We apply various signals, including on-off keying (OOK), 4-level pulse amplitude modulation (PAM4), 6-level PAM (PAM6), and 8-level PAM (PAM8) to maximize the bit rate and spectral efficiency of the FSO transmission. Through a two-dimensional sweeping of the laser bias current and MCT detector photovoltage, we optimize the transmission performance. At the optimal operation point, the FSO system achieved impressive results which are up to 6 Gbaud OOK, 3.5 Gbaud PAM4, 3 Gbaud PAM6, and 2.7 Gbaud PAM8 signal transmissions, with a bit error rate performance below 6.25% overhead hard decision-forward error correction limit when the DM-QCL operates at 10 °C. We also evaluate the eye diagrams and stability of the system to showcase its remarkable transmission performance. Our findings suggest that the DMQCL and MCT detector-based FSO transceivers offer a highly competitive solution for the next generation of optical wireless communication systems

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:ri:diva-66652DOI: 10.1109/jlt.2023.3287934OAI: oai:DiVA.org:ri-66652DiVA, id: diva2:1795341
Note

This work was supported in part by the National Natural Science Foundation of China (U2006217, 61775015), in part by the China Scholarship Council (202107090113), in part by the EU H2020 cFLOW Project (828893), in part by the National Key Research and Development Program of China (2018YFB1801500), in part by the Swedish Research Council (VR) project 2019-05197 and project ‘BRAIN’ 2022-04798, in part by the COST Action CA19111 NEWFOCUS, VINNOVA-funded project ‘A-FRONTHAUL’ 2022-02545, and in part by the ERDF-funded CARAT project (No. 1.1.1.2/VIAA/4/20/660).

Available from: 2023-09-08 Created: 2023-09-08 Last updated: 2024-03-04Bibliographically approved

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Fan, YuchuanOzolins, OskarsPang, Xiaodan

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