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580 results on '"Shieh, William"'

1. Energy Efficiency Optimization Method of WDM Visible Light Communication System for Indoor Broadcasting Networks

Author

Shi, Dayu, Zhang, Xun, Liu, Ziqi, Chen, Xuanbang, Li, Jianghao, Liu, Xiaodong, and Shieh, William

Subjects
Electrical Engineering and Systems Science - Systems and Control, Physics - Optics
Abstract

This paper introduces a novel approach to optimize energy efficiency in wavelength division multiplexing (WDM) Visible Light Communication (VLC) systems designed for indoor broadcasting networks. A physics-based LED model is integrated into system energy efficiency optimization, enabling quantitative analysis of the critical issue of VLC energy efficiency: the nonlinear interplay between illumination and communication performance. The optimization jointly incorporates constraints on communication quality of each channel, and illumination performance, standardized by the International Commission on Illumination (CIE). The formulated nonlinear optimization problem is solved by the Sequential Quadratic Programming (SQP) algorithm in an experiment-based simulation. An integrated Red-Green-Blue-Yellow Light Emitting Diode (RGBY-LED) is measured for model calibration and three different scenarios are simulated to evaluate the generality of the proposed method. Results demonstrate a double enhancement in performance and a high versatility in accommodating various scenarios. Furthermore, it highlights the importance of balancing communication and illumination imperatives in VLC systems, challenging conventional perceptions focused solely on minimizing power consumption.

Published
2024

3. Advanced optical receiver architectures for ultra-high capacity but low-cost short-reach optical interconnects

Author

Honglin JI, Xueyang LI, Zhixue HE, Weisheng HU, and Shieh William

Subjects
short-reach optical interconnects, direct detection, self-coherent detection, self-coherent homodyne detection, mode-division multiplexing transmission, Telecommunication, TK5101-6720, Technology
Abstract

The deployment of emerging network infrastructure such as hyper-scale datacenters urgently requires ultra-high capacity but low-cost short-reach optical interconnects.Conventional intensity modulation and direct detection possesses a simple receiver structure but can only recover the intensity information, which restrains the capability of further scaling up the system capacity.Standard coherent detection can deliver high-order modulation formats and achieve high-capacity transmission.Nevertheless, the coherent transceiver requiring expensive narrow-linewidth laser sources and computation-intensive digital signal processing precludes its wide applications in short-reach systems.The advanced direct-detection optical receivers aim to combine the advantages of both direct detection and coherent detection and bridge the gap between them.Therefore, the advanced optical receivers are mainly based on self-coherent detection.Advanced single-polarization, dual-polarization, and few-mode optical receiver architectures wereintroduced.The proposed advanced optical receivers can retrieve the optical field via direct detection without using the narrow-linewidth lasers, which enables the realization of ultra-high capability but low-cost short-reach optical interconnects.

Published
2022
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4. Weight-adaptive joint mixed-precision quantization and pruning for neural network-based equalization in short-reach direct detection links

Author

Xu, Zhaopeng, primary, Wu, Qi, additional, Lu, Weiqi, additional, Ji, Honglin, additional, chen, Hui, additional, Ji, Tonghui, additional, Yang, Yu, additional, Qiao, Gang, additional, Tang, Jianwei, additional, cheng, chen, additional, Liu, Lulu, additional, Wang, Shangcheng, additional, Liang, Junpeng, additional, Wei, Jinlong, additional, Hu, Weisheng, additional, and Shieh, William, additional

Published
2024
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5. 100G Self-Coherent PON Based on Pre-Amplified Stokes Vector Direct Detection

Author

Fang, Yuhao, Zhu, Haojie, Yuan, Puzhen, Ji, Honglin, and Shieh, William

Abstract

In this letter, for the first time, a novel 100G pre-amplified self-coherent passive optical network (SC-PON) architecture is proposed and experimentally verified. To mitigate the reduction in receiver sensitivity resulting from co-transmitted carriers in self-coherent systems, a semiconductor optical amplifier (SOA) was deployed for pre-amplification with a noise figure of 7.5dB and a small-signal gain of 30dB. As a proof-of-concept, a system experiment of pre-amplified 25-GBaud 16-QAM SC-PON is demonstrated in the downstream, achieving a data rate of 100 Gb/s/ $\lambda $ over 20-km single-mode fiber (SMF) with a receiver sensitivity of -22dBm. We achieve a power budget beyond 33.6 dB under the 15% SD-FEC threshold of $2\times 10 ^{-2}$ , surpassing the power budget specified by ITU-T class N1 and IEEE class PR(X). The results indicate that the proposed SC-PON has the potential applicability for next-generation beyond 100G access systems.

Published
2024
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6. Advanced Neural Network-Based Equalization in Intensity-Modulated Direct-Detection Optical Systems: Current Status and Future Trends.

Author

Xu, Zhaopeng, Ji, Tonghui, Wu, Qi, Lu, Weiqi, Ji, Honglin, Yang, Yu, Qiao, Gang, Tang, Jianwei, Cheng, Chen, Liu, Lulu, Wang, Shangcheng, Liang, Junpeng, Sun, Zhongliang, Fan, Linsheng, Wei, Jinlong, and Shieh, William

Subjects
OPTICAL interconnects, OPTICAL dispersion, COMPUTATIONAL complexity, MACHINE learning, COST effectiveness
Abstract

Intensity-modulated direct-detection (IM/DD) optical systems are most widely employed in short-reach optical interconnects due to their simple structure and cost-effectiveness. However, IM/DD systems face mixed linear and nonlinear channel impairments, mainly induced by the combination of square-law detection and chromatic dispersion, as well as the utilization of low-cost non-ideal transceivers. To solve this issue, recent years have witnessed a growing trend of introducing machine learning technologies such as neural networks (NNs) into IM/DD systems for channel equalization. NNs usually present better system performance than traditional approaches, and various types of NNs have been investigated. Despite the excellent system performance, the associated high computational complexity is a major drawback that hinders the practical application of NN-based equalizers. This paper focuses on the performance and complexity trade-off of NNs employed in IM/DD systems, presenting a systematic review of the current status of NN-based equalizers as well as a number of effective complexity reduction approaches. The future trends of leveraging advanced NN in IM/DD links are also discussed. [ABSTRACT FROM AUTHOR]

Published
2024
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12. List of contributors

Author

Abedin, Kazi S., primary, Alam, Shaif-ul, additional, Anderson, Miles H., additional, Antonelli, Cristian, additional, Baier, Moritz, additional, Bayvel, Polina, additional, Bergano, Neal S., additional, Bergman, Keren, additional, Bowers, John, additional, Cai, Jin-Xing, additional, Chang, You-Chia, additional, Che, Di, additional, Chen, Xi, additional, Cheng, Qixiang, additional, Da Ros, Francesco, additional, da Silva, Edson Porto, additional, Deng, Ning, additional, Fahrenkopf, Nicholas M., additional, Fakidis, John, additional, Fan, Qirui, additional, Freude, Wolfgang, additional, Galili, Michael, additional, Girouard, Peter David, additional, Gladhill, Richard, additional, Glick, Madeleine, additional, Goldman, Rich, additional, Guan, Pengyu, additional, Haas, Harald, additional, Hayashi, Tetsuya, additional, Hoefler, Gloria, additional, Jung, Yongmin, additional, Kaminski, Pawel Marcin, additional, Karpov, Maxim, additional, Kemal, Juned N., additional, Khan, Faisal Nadeem, additional, Kippenberg, Tobias J., additional, Kish, Fred, additional, Klejs, Frederik, additional, Koos, Christian, additional, Kumar, Saurabh, additional, Lam, Cedric F., additional, Lamant, Gilles S.C., additional, Lau, Alan Pak Tao, additional, Leuchs, Gerd, additional, Li, Ming-Jun, additional, Li, Xinying, additional, Liehr, Michael, additional, Liga, Gabriele, additional, Lillieholm, Mads, additional, Lipson, Michal, additional, Liu, Xiang, additional, Lu, Chao, additional, Marin-Palomo, Pablo, additional, Marom, Dan M., additional, Marquardt, Christoph, additional, Marshoud, Hanaa, additional, Mecozzi, Antonio, additional, Mohs, Georg, additional, Neilson, David T., additional, Oxenløwe, Leif Katsuo, additional, O’Brien, Peter, additional, Pang, Xiaodan, additional, Papen, George, additional, Paraschis, Loukas, additional, Pond, James, additional, Raj, Kannan, additional, Ramachandran, Siddharth, additional, Richardson, David J., additional, Ryf, Roland, additional, Sánchez-Soto, Luis L., additional, Sarbazi, Elham, additional, Schmidtke, Katharine, additional, Secondini, Marco, additional, Shieh, William, additional, Strekalov, Dmitry V., additional, Su, Zhan, additional, Timurdogan, Erman, additional, Winzer, Peter J., additional, Xie, Chongjin, additional, Xu, Tianhua, additional, Yankov, Metodi Plamenov, additional, Yin, Shuang, additional, and Yu, Jianjun, additional

Published
2020
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32. Deep-Learning-Enabled Direct Detection With Reduced Computational Complexity and High Electrical-Spectral-Efficiency

Author

Li, Xingfeng, Li, Jingchi, An, Shaohua, Liu, Hudi, Shieh, William, and Su, Yikai

Abstract

Complex-valued double-sideband (CV-DSB) direct detection (DD) is a promising solution for high capacity and cost-sensitive data center interconnects, since it can reconstruct the optical field as a homodyne coherent receiver while does not require a costly local oscillator laser. In a carrier-assisted CV-DSB DD system, the carrier occupies a large proportion of the total optical signal power but bears no information. Reducing the carrier to signal power ratio (CSPR) can improve the information-bearing signal power and thus maximize the achievable system performance. Recently, we have proposed and demonstrated a deep-learning-enabled DD (DLEDD) scheme to reconstruct the full-field of the CV-DSB signal. In the DLEDD scheme, the optical CV-DSB signal was detected by a dispersion-diversity receiver and then recovered by a deep convolutional neural network (CNN). Nevertheless, the computational complexity of the deep CNN is the main obstacle to the application of the DLEDD scheme. In this paper, we demonstrate a 50-GBaud CV-DSB 32-ary quadrature amplitude modulation (32-QAM) signal transmission over 80-km single-mode fiber with ∼64% computational-budget reduction in the field reconstruction. This is achieved by using 1×1 convolutions to attain a sparse dimensionality (in particular the number of channels) of the deep CNN. To the best of our knowledge, we achieve the highest electrical spectral efficiency of 7.07 b/s/Hz per polarization per wavelength for a CV-DSB DD receiver without requiring a sharp-roll-off optical filter.

Published
2023
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