Workshop 8
Advanced Algorithms for Future Optical Communication Systems
Since its emergence in 1970’s, optical fiber communication has deeply shaped the information society by providing the large-capacity infrastructure for data transportation. Especially in the last two decades, coherent communication and optical interconnect technologies based on digital signal processing has drastically increase the transmission data rate/capacity. The associated algorithms of the prevalent systems have become mature so far. However, to accommodate the continuous demand for low power consumption and large capacity for future optical communication systems, advanced algorithms are highly desired to tailor to different scenarios such as long-haul transmission, datacenter interconnect, 6G front haul, optical access networks, free-space optical communication, and so on.
This workshop will address the following questions on the emerging advance algorithms:
1) For optical interconnect, do we need direct detection with phase recovery or optical field reconstruction? How about the future development of low power consumption algorithm for coherent, IMDD and 6G front haul systems?
2) With artificial intelligence techniques entering optical communication field, how it enhances system ability of distortion monitoring and channel equalization? How about AI performance with constrained or limited resources? Could AI really speed up optical system modeling?
3) For future high-speed and high-capacity optical transmission, how much and what kind of benefit we can obtain from more sophisticated or intelligent algorithms? Shall we develop novel photonic simulation tools for emerging applications or building a new design paradigm?
Organizers:
Fan Zhang, Peking University
Ming Tang, Huazhong University of Science and Technology
William Shieh, Westlake University
Speakers:
Kangping Zhong, The Hong Kong Polytechnic University
Oskars Ozolins, KTH Royal Institute of Technology
Miaofeng Li, Alibaba Cloud
Yixiao Zhu, Shanghai Jiaotong University
Meng Xiang, Guangdong University of Technology
Junwen Zhang, Fudan University
Danshi Wang, Beijing University of Posts and Telecommunications
Lilin Yi, Shanghai Jiaotong University
Qunbi Zhuge, Shanghai Jiaotong University
Liangchuan Li, Huawei
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