·Best Paper Award
For all speakers, who is the first author as well as the presenting author of a paper submitted with choosing presentation type of “Best Paper Award”will be eligible for this award. Winners will be selected by the ACP 2025 Committee. Certificates and Awards will be presented to the winners at the conference banquet and award ceremony.
·Best Student Paper Award
Any full-time university student, who is the first author as well as the presenting author of a paper submitted with choosing presentation type of “Best Student Paper Award”will be eligible for this award. Winners will be selected by the ACP 2025 Committee. Certificates and Awards will be presented to the winners at the conference banquet and award ceremony.
·Best Paper Award in Industry Innovation
Any non-invited speaker, who is the first author as well as the presenting author of a paper submitted will be eligible for this award. Papers focusing on industry and technology will be selected by the ACP 2025 Committee. Certificates and Awards will be presented to the winners at the conference banquet and award ceremony.
·Best Poster Award
Any poster paper that is registered by at least one of the authors, presented during the assigned time slot will be eligible for this award. Certificates and Awards will be presented to the winners at the conference banquet and award ceremony.
Best Paper Award
ACP2025-0731-107
FPGA-Accelerated Correlation OTDR for Rapid and High-SNR Fibre Reflectometry
Te Ke, Tao Zeng*, Yingmei Pan, Lin Zheng, Baichuan Shao, Ziqing Liu, Botao Yang, Yimei Pan, Ziye Zhong, Ming Luo
State key laboratory of Optical Communication Technologies and Networks, China Information Communication Technologies Group Corporation, China
AnFPGA-accelerated correlation OTDR achieving 2cm resolution over 95km in real timeis proposed. Compared to the 95 km detection limit of single-pass offline correlation, a 235sample zoom-in window improves SNR by 20 dB, clearly resolving fine reflections with high speed and fidelity.
ACP2025-0809-1
Single Photodiode Reception of 686-Gb/s Signal by Optical Triple Band Multiplexing for AI Clusters
Yixiao Zhu1*, Xiang Cai2, Xiansong Fang2, Chenbo Zhang2, Yimin Hu1, Ziheng Zhang1, Lingjun Zhou2, Chongyu Wang1, Fan Zhang2, Weisheng Hu1
1.Shanghai Jiao Tong University, China;2.Peking University, China
We experimentally demonstrate triple-band optical multiplexing to extend the digital-to-analog convertor bandwidth without using radio-frequency oscillators and mixers. We achieve single-photodiode reception of 686.6-Gb/s line rate signal over 200-m single-mode fiber for AI clusters.
ACP2025-0802-6
Enhancing FTTR Performance with Preemptive Downlink Scheduling
Ang Li1, Jinhan Cai1, Biswanath Mukherjee2, Gangxiang Shen1*
1.Soochow University, China;2.University of California, United States
This paper proposes a preemptive downlink scheduling method for fiber-to-the-room (FTTR) networks that optimizes frame aggregation and leverages Wi-Fi 8’s channel preemption to coordinate multi-priority traffic and reduce delay. The adoption of the preemptive algorithm and FTTR centralized control scheduling can reduce the end-to-end average delay of the four types of traffic.
ACP2025-0808-1
Quantum correlations on a lithium tantalate chip
Dan Xu1, 2, Yunru Fan1, 2 ,3*, Bowen Chen4, 5, Chengli Wang4, 5*, Xuqiang Wang4, 5, Jiachen Cai4, 5, Haizhi Song1, 6, You Wang1, 6, Jingbo Qi7, Hao Li8, Lixing You8, Kai Guo9, Xin Ou4, 5*, Guangcan Guo1, 2, 3, 10, Qiang Zhou1, 2. 3, 10*
1.Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, China; 2.Key Laboratory of Quantum Physics and Photonic Quantum Information, Ministry of Education, University of Electronic Science and Technology of China, China; 3.Center for Quantum Internet, Tianfu Jiangxi Laboratory, China; 4.State Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, China; 5.The Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, China; 6.Southwest Institute of Technical Physics, China; 7.School of Physics, University of Electronic Science and Technology of China, China; 8.National Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, China; 9.Institute of Systems Engineering, AMS, China; 10.CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, China
We demonstrate, for the first time to our knowledge, correlated photon-pair generation in a lithium tantalate (LiTaO3) micro-ring resonator (MRR) via spontaneous four-wave mixing (SFWM), marking a significant step toward integrated quantum photonics on this scalable and mature platform. Our results open the door to monolithically unifying classical and quantum photonic functionalities within a single LiTaO3 circuit.
ACP2025-0801-130
High Efficient Optical Convolution via Multidimensional Photonic Multiplexing
Baoyue Liu, Shifan Chen*, Yunping Bai*, Xingyuan Xu
Beijing University of Post and Telecommunications, China
We demonstrated a high-efficiency optical convolution accelerator (heOCA) that multiplexes three dimensions of space, wavelength, and time. It achieves near 100% bit efficiency—triple of single-path architectures—and 93.8% MNIST classification accuracy.
Best Student Paper Award
ACP2025-0724-15
Joint Dual-Pilot and MRC Aided NOMA-DSCM for 240-Gbps Coherent PON with Extended Far-End ONU Coverage
Chen Ding1*, Yutian Liu1, Qiarong Xiao1, Zijian Li1, Zixian Wei2, Changyuan Yu2, Chaoran Huang1, Chester Shu1
1.The Chinese University of Hong Kong, China;2.The Hong Kong Polytechnic University, China
We present a demonstration of a joint dual-pilot aided and MRC aided NOMA-DSCM system for coherent PON, achieving 240 Gbps and up to 2.86 dB diversity gain, extending far-end ONU coverage with interference-resilient phase estimation.
ACP2025-0801-71
AWG-based 128-channel end-to-end matrix multiplication chip
Chun Gao1, Xiaowan Shen1, Xinxiang Niu2, Zejie Yu1, Yiwei Xie1, Pan Wang1, Xiaowen Dong2*, Huan Li1*, Daoxin Dai1*
1.Zhejiang University, China;2.Huawei Technologies Co., Ltd, China
This work designs and demonstrates a 128-channel, end-to-end optical matrix-computing chip based on an AWG. Characterized with an RNN, the system achieves a normalized mean-square error of 0.0205 on the Mackey–Glass sequence prediction task.
ACP2025-0815-105
Low-loss and Compact Silicon Nitride Photonic Chip for Dispersion Control
Weihan Wang, Ruitao Ma, Shujun Liu, Mingyu Zhu, Zejie Yu, Daoxin Dai*
State Key Laboratory for Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, China
We demonstrate an on-chip dispersion controller on silicon nitride, featuring a compact footprint, a maximal dispersion of +23.906 ps/nm and -23.799 ps/nm, a low loss of 0.188 dB/cm and low group delay ripples.
ACP2025-0815-81
An Approach for Optical Pulse Sequences Achieving (n+1/2) Repetition Rate Multiplication
Ping Li, Kunlin Shao, xiaohu Tang, Zhouyang Pan, Yamei Zhang*, Dan Zhu, Shilong Pan
National Key Laboratory of Microwave Photonics, Nanjing University of Aeronautics and Astronautics, China
An innovative temporal Talbot effect-based technique for optical pulse sequence repetition rate control is presented, capable of achieving arbitrary (n+1/2) multiplication factors. Distinguished from conventional temporal Talbot effect configurations, this approach incorporates a pre-phase modulation process rather than directly employing phase-free optical pulse sequences. The core novelty lies in the straightforward phase manipulation of optical pulses, where carefully designed temporal phase signals allow for precise control of repetition rate through subsequent dispersion. Both numerical simulations and experimental validations have confirmed the effectiveness and feasibility of this method. Experimental demonstrations successfully achieved repetition rate multiplication (RRM) factors of 1/2, 3/2, and 5/2, validating the operational principles and functionality of the proposed technique. The results indicate that this method provides a robust and flexible solution for precise repetition rate control in optical pulse sequences.
ACP2025-0815-43
Simplified Linewidth-Tolerance OFDR based on Embedded-Referencing Phase Noise Compensation
Shuyan Chen1, Huan He2, Zhiyong Zhao1*, Ming Tang1, Chao Lu2
1.Huazhong University of Science and Technology, China;2. The Hong Kong Polytechnic University, China
We present a simplified linewidth-tolerant OFDR employing embedded-reference phase noise compensation, demonstrating 13.8mm spatial resolution over 1.9km with 200kHz-linewidth laser using single-receiver architecture.
Best Paper Award in Industry Innovation
ACP2025-0710-1
First Real-time 62.1 Tb/s DWDM Data Center Interconnect Over a Seamless 87 nm Optical Spectrum Based on Unified Optics
Yuqian Zhang1, Mingqing Zuo1, Dongchen Zhang2, Junjie Qi3, Dawei Ge1, Dong Wang1, Baoluo Yan2, Hu Shi2, Zhaolong Liao3, Lei Shen3, 4, Dechao Zhang1*, Han Li1
1.Department of Fundamental Network Technology, China Mobile Research Institute, China; 2.WDM System Department of ZTE Corporation, China; 3.State Key Laboratory of Optical Fiber and Cable Manufacture Technology, YOFC, China; 4.Optical Valley Laboratory, China
The first real-time 62.1Tb/s transmission over a seamless 87nm spectrum across 80km G.652.D fiber is demonstrated using a unified C+L-band system. The prototype employs broadband EBDFA, simplifying dual-band optics for high-speed data center interconnect.
ACP2025-0731-13
Real-Time 228.48 Pb/s∙km Transmission Demonstration over 5×80-km 7-Core Fiber Using 1.2-Tb/s/λ Transceivers Spanning a 12-THz C+L Band
Anxu Zhang1, Yueqiu Mu1, Lipeng Feng1, Lijun Ma2, Lei Shen3, Xishuo Wang1, Yi Ding1, Zhengyu Liu1, Shuo Xu4, Lei Zhang3, Jie Luo3, Yi Yu2, Xiaoli Huo1, Junjie Li1, Chengliang Zhang1
1.China Telecom Research Institute State Key Laboratory of Optical Fiber and Cable Manufacture Technology, China; 2.Huawei Technologies Co. Ltd, China; 3.State Key Laboratory of Optical Fiber and Cable Manufacture technology Optical valley laboratory, China; 4.State Key Laboratory of Optical Fiber and Cable Manufacture technology, China
Real-time transmission of 7-core × 68-λ × 1.2-Tb/s/λ PCS-64-QAM signals across a 12-THz C+L band spectrum over 5×80-km MCF is achieved, resulting a total throughput of 571.2 Tb/s and a record capacity-distance product of 228.48 Pb/s·km.
ACP2025-0731-102
57-GHz C+L Band Germanium Waveguide Photodetector with Interleaved Junctions
Yihang Li1, 2, Jianing Wang1, Yuxiang Yin3, Jian Li1, 2, Kaihang Lu3, Xi Wang1, Daoqun Liu2, Xi Xiao2, Lei Wang2*, Yeyu Tong3*, Ke Xu1, 2*
1.Harbin Institute of Technology, Shenzhen, China; 2.Peng Cheng Laboratory, China; 3.The Hong Kong University of Science and Technology (Guangzhou), China
We demonstrated a C+L band germanium waveguide photodetector with interleaved junctions, fabricated by standard multi-project wafer process. Responsivity of 0.62 A/W and 3-dB bandwidth of 57 GHz were measured under -3 V at 1625 nm. It supports high-speed photodetection of 96 Gb/s NRZ signals.
ACP2025-0801-151
Causal Learning Based Faults Localization Fusion Method for Large-scale OTN
Xin Qin1*, Xiaotian Jiang1, Zhengyi Zou2, Yadong Gong1, Hui Li2, Xiaofeng Wu3, Rentao Gu2, Xiaoli Huo1, Meng Chen4, Junjie Li1
1.China Telecom Research Institute, China; 2.Beijing University of Posts and Telecommunications (BUPT), China; 3.Cloud Network Operations Department, China Telecom, China; 4.China Telecom Intelligent Network Technology Co.Ltd., China
This study proposes a slice-based Topological Hawkes Process (sTHP) for alarm analysis and integrating AI classification with interpretable causal modeling to localize faults in large-scale OTN. The field trials show 98.8% root faults localization accuracy (9.7% over Apriori), balancing model transparency and algorithmic precision.
ACP2025-0801-29
Investigation of Weakly-coupled Multi-core EDFAs With Core and Cladding Pump Schemes
Yuanpeng Ding1*, Baolong Zhu2, Lei Shen1*, Junjie Qi1, Xin Huang1, Zhaolong Liao1, Shiqi Zhou1, Lei Zhang1, Jie Luo1
1.Yangtze Optical Fibre and Cable Joint Stock Limited Company, China; 2.Peking University, China
We constructed core-pumped and cladding-pumped 4-core EDF amplifiers. With multi-wavelength channel signals, both exhibited gain around 25 dB, while the core-pumped demonstrated a maximum CGD of 1.299 dB and NF below 6 dB.
Best Poster Award
ACP2025-0813-5
Adaptive Resource Allocation Algorithm for Optical Network Based on Meta Learning
Xiaodong Liu, Shan Yin*, Mengru Cai, Shuyao Wang, Xueyu Fan, Shanguo Huang
Beijing University of Posts and Telecommunications, China
We introduce meta learning into resource allocation task and propose the Adaptive Resource Allocation (ARA) algorithm. It shows excellent adaptation ability in different topologies. With the integration of reinforcement learning, the optimization ability is also significantly improved. Simulation demonstrates that ARA reduces the consumption of topology adaptation by 67% compared to DRL.
ACP2025-0815-141
Impact of Data Acquisition Accuracy on the Performance of Digital Twin Optical Networks
Junfeng Cao1, 2, Nan Hua1, 2*, Kangqi Zhu1, 2, Qianchi Qin1, 2, Siqi Wu1, 2, Xiaoping Zheng1, 2*
1.Beijing National Research Center for Information Science and Technology (BNRist), China, China; 2.Department of Electronic Engineering, Tsinghua University, Beijing, China
We present an integrated modeling–emulation–validation framework to systematicallyanalyze how dataacquisition accuracy impactsthe performance of digitaltwin optical networks. The framework is experimentally validated using spectrumclassification tests as a representative scenario, revealing key degradation mechanisms and providing practical guidelines for resource allocation in the sensing layer.
ACP2025-0816-4
Hybrid FSO and MMW Communication Systems with Simplified Structure and Low Phase Noise
Junjie Zheng, Yejun Liu*
Chongqing University of Posts and Telecommunications, China
We propose a hybrid free-space optical (FSO) and millimeter wave (MMW) communication systemwith simplified structure and low phase noise, which achieves notabletransmission performance even if the laserlinewidthreaches tens of MHz.
ACP2025-0801-186
Performance Analysis of Silicon Microring Resonators using Newtonian Cooling and Non-Fourier Heat Conduction Models
Menglong He*, Matthias Thiele, Abdou Shetewy, Jens Lienig, Kambiz Jamshidi*
Technische Universität Dresden, Germany
We study and compare thermal dynamics and the corresponding nonlinear model (temporal and steady-state response) of active silicon microring resonators using the traditional Newtonian cooling approach and the non-classical non-Fourier heat conduction framework.
ACP2025-0801-139
Fibre Vibration Sensing and Localization with Cross-Correlation based Neural Network in a Practical Bidirectional Optical Transmission System
Wanxin Zhao1, 2, Sen Shen2, Vaigai Yokar2, Xiaoguang Zhang1, Lixia Xi1, Shuangyi Yan2, Dimitra Simeonidou2
1.Beijing University of Posts and Telecommunications, China; 2.University of Bristol, United Kingdom
We present a CC-CNN localization algorithm for vibration detection over Bristol's urban fibre network, achieving an 8-km spatial resolution and outperforming pure cross-correlation methods in accuracy and robustness. High-precision time synchronization over the fibre link with aroud 200-ns jitter enables precise localization.
ACP2025-0801-180
Performance Enhanced Φ-OTDR Enabled by Frequency-Multiplexed Barker Pulse Coding
Wanxin Li, Dongdong Zou, Zheyuan Lin, Zhentao Zhang, Huan Huang, Yi Cai*
Soochow University, China
A novel frequency-multiplexed Barker-coded Φ OTDR is proposed. This system achieves a fourfold increase in interrogation repetition rate and nearly 5 dB SNR gain over the Golay-coded case, while significantly reducing hardware complexity.
ACP2025-0801-195
Residual Multi-Task Neural Network Equalization for Performance–Complexity Co-Design in 800 Gb/s 960 km Coherent Optical Links
Tonghui Ji1, Zhaopeng Xu1*, Qi Wu2, Honglin Ji1, Jianghao Li3, Xingfeng Li1, Lulu Liu1, Shangcheng Wang1, Zhongliang Sun1, Junpeng Liang1, Linsheng Fan1, Jianwei Tang1, Jinlong Wei1, Zhixue He1, Weisheng Hu4
1.Pengcheng Laboratory, China; 2.The Hong Kong Polytechnic University, Hong Kong, China; 3.Shandong Normal University, China; 4.Shanghai Jiao Tong University, China
We propose a residual multi-task neural network (RES-MT-NN) for nonlinear compensation in coherent optical transmission. By introducing residual connections, RES-MT-NN achieves the baseline Q-factor with only 56% of the computational complexity required by the single-task neural network, outperforming conventional multi-task neural networks which require 62%, demonstrated on an 800-Gb/s, 960-km PDM-16QAM system.
ACP2025-0714-8
Integrated Computation and Communication with Fiber-optic Transmissions
Jiahao Zhang1, 2, Lu Zhang1, 2*, Xiaodan Pang1, 3, 4, Oskars Ozolins3, 4, Qun Zhang2, Xianbin Yu1*
1.Zhejiang University, China; 2.Shandong Zhike Intelligence Computing Inc., China; 3.Riga Technical University, Latvia; 4.RISE Research Institutes of Sweden, Sweden
Fiber-optic transmission systems are leveraged not only as high-speed communication channels but also as nonlinear kernel functions for machine learning computations, enabling the seamless integration of computational intelligence and communication.
ACP2025-0801-128
Compact Environmentally-Stable Figure-9 Fiber Laser with Large Repetition Rate Tuning Ranges
Rongwei Zhu, Liang Hu*, Ziang Qiu, Zijie Zhou, Guiling Wu, Jianping Chen
Shanghai Jiao Tong University, China
A compact "figure-9" fiber laser with stable environment is proposed, the repetition rate of the laser is 246 MHz, the direct output pulse width is 103 fs, the 3 dB spectral width is 52 nm.
ACP2025-0731-53
Demonstration of 2D Beam Emission by a Multi-wavelength Optical Phased Array
Binghui LI
The Chinese University of Hong Kong (shenzhen), China
We demonstrate the 2D beam scanning of an optical phased array through multiple wavelength emissions. A field of view of 9o×35o was accomplished by only thermo-phase control, indicating good potential for high-speed LiDAR scanning.
