Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/111878
| Title: | Burst-mode digital signal processing for passive optical networks based on discrete multi-tone | Authors: | Zhou, J Liu, Z Guo, M Wang, H Liu, W Yu, C |
Issue Date: | 2024 | Source: | Optics express, 2024, v. 32, no. 21, p. 37148-37154 | Abstract: | Driven by the ever-increasing capacity demands, digital signal processing (DSP) has been first applied to improve the performance of a 50G passive optical network (PON). The main challenge is implementing the burst-mode DSP to deal with the upstream burst signal. This paper proposes a burst-mode DSP using preambles designed for the 50G PON based on entropy-loading discrete multi-tone (DMT). The burst-mode DSP mainly includes the burst-mode timing recovery with the initial timing offset and the burst-mode frequency-domain equalizer with the initial tap coefficients. The experimental results of the 50G DMT PON demonstrate that the burst-mode DSP can achieve fast convergence based on the ∼27ns preamble with 800 samples. The proposed burst-mode DSP makes the DMT PON highly feasible to support non-residential point-to-multi-point applications such as passive optical local area networks. | Publisher: | Optica | Journal: | Optics express | EISSN: | 1094-4087 | DOI: | 10.1364/OE.538190 | Rights: | © 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement (https://opg.optica.org/content/library/portal/item/license_v2#VOR-OA) Journal © 2024 © 2024 Optica Publishing Group under the terms of the Open Access Publishing Agreement. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved. The following publication . is available at https://doi.org/10.1364/OE.538190. |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| oe-32-21-37148.pdf | 3.82 MB | Adobe PDF | View/Open |
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