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Probabilistic shaping-based delta sigma modulation

Li Zhao, Sicong Xu, Mingxu Wang, Bohan Sang, Jianyu Long, Long Zhang, Wen Zhou, Kaihui Wang, and Jianjun Yu

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Abstract

This Letter proposes a probabilistic shaping delta-sigma modulation technique. By performing delta-sigma modulation on the probability shaping signal at the transmitting end, under the same transmit power and the same net bit rate, the delta-sigma modulation signal based on probability shaping can obtain better anti-noise capability than the delta-sigma modulation signal only. Under the same information entropy conditions, the bit error rate performance of the PS-based 131072QAM signal modulated by delta-sigma modulation is better than that of the ordinary 65536QAM signal using the delta-sigma modulation scheme, and lower than that of soft decision–forward error correction (4 × 10−2).

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Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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