activity
20212025
most citedAn Interpretable Mapping from a Communication System to a Neural Network for Optimal Transceiver-Joint Equalization

16 citations · 31 across the 6 of their papers we have counts for

collaborators

6 papers

physics.optics2025

Asymmetrical Filtering Impairments Mitigation for Digital- Subcarrier-Multiplexing Transmissions Enabled by Multiplication-free K-State Reserved Complex MLSE

Hexun Jiang, Zhuo Wang, Chengbo Li +10

We propose a multiplication-free K-state reserved complex maximum-likelihood-sequence-estimation (MLSE) to mitigate asymmetrical filtering impairments in digital-subcarrier-multipl…

eess.SP2024

Preamble Design for Joint Frame Synchronization, Frequency Offset Estimation, and Channel Estimation in Upstream Burst-mode Detection of Coherent PONs

Yongxin Sun, Hexun Jiang, Yicheng Xu +5

Coherent optics has demonstrated significant potential as a viable solution for achieving 100 Gb/s and higher speeds in single-wavelength passive optical networks (PON). However, u…

eess.SP2023

Multicarrier Modulation-Based Digital Radio-over-Fibre System Achieving Unequal Bit Protection with Over 10 dB SNR Gain

Yicheng Xu, Yixiao Zhu, Xiaobo Zeng +5

We propose a multicarrier modulation-based digital radio-over-fibre system achieving unequal bit protection by bit and power allocation for subcarriers. A theoretical SNR gain of 1…

physics.optics2022★ 1 cited

Four-dimensional direct detection with Jones space optical full-field recovery

Qi Wu, Yixiao Zhu, Hexun Jiang +4

Data centers, the engines of the global Internet, are supported by massive high-speed optical interconnects. In optical fiber communication, the classic direct detection obtains on…

eess.SP2022★ 14 cited

Optical Field Recovery in Jones Space

Qi Wu, Yixiao Zhu, Hexun Jiang +2

Optical full-field recovery makes it possible to compensate for fiber impairments such as chromatic dispersion and polarization mode dispersion (PMD) in the digital signal processi…

eess.SP2021★ 16 cited

An Interpretable Mapping from a Communication System to a Neural Network for Optimal Transceiver-Joint Equalization

Zhiqun Zhai, Hexun Jiang, Mengfan Fu +4

In this paper, we propose a scheme that utilizes the optimization ability of artificial intelligence (AI) for optimal transceiver-joint equalization in compensating for the optical…