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• W2792694510 abstract "We propose a spectrally efficient digitized radio-over-fiber (D-RoF) system by grouping highly correlated neighboring samples of the analog signals into multidimensional vectors, where the k-means clustering algorithm is adopted for adaptive quantization. A 30&#x2009;&#x2009;Gbit/s D-RoF system is experimentally demonstrated to validate the proposed scheme, reporting a carrier aggregation of up to 40 100&#x00A0;MHz orthogonal frequency division multiplexing (OFDM) channels with quadrate amplitude modulation (QAM) order of 4 and an aggregation of 10 100&#x00A0;MHz OFDM channels with a QAM order of 16384. The equivalent common public radio interface rates from 37 to 150&#x2009;&#x2009;Gbit/s are supported. Besides, the error vector magnitude (EVM) of 8% is achieved with the number of quantization bits of 4, and the EVM can be further reduced to 1% by increasing the number of quantization bits to 7. Compared with conventional pulse coding modulation-based D-RoF systems, the proposed D-RoF system improves the signal-to-noise-ratio up to &#x223C;9&#x2009;&#x2009;dB and greatly reduces the EVM, given the same number of quantization bits." @default.
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• W2792694510 date "2018-03-27" @default.
• W2792694510 modified "2023-10-16" @default.
• W2792694510 title "Spectrally efficient digitized radio-over-fiber system with k-means clustering-based multidimensional quantization" @default.
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• W2792694510 doi "https://doi.org/10.1364/ol.43.001546" @default.
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