Integrated Computation and Communication with Fiber-optic Transmissions

Zhang, Jiahao, Zhang, Lu, Pang, Xiaodan, Ozolins, Oskars, Zhang, Qun, Yu, Xianbin

arXiv.org Artificial Intelligence 

Abstract: 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 . Over the past few decades, the field of communication has undergone remarkable transformations, driven by advancements in network architecture and transmission technologies. Simultaneously, the emergence of machine learning (ML) has revolutionized various industries, p aving the way for intelligent communication networks [1] . As outlined in the IMT - 2030 framework [2], the future of communication systems lies in the seamless integration of ML with communication technologies, a devel opment that is expected to redefine the capabilities of these networks. This integration is particularly critical for applications like semantic communication, which demand a unified approach to bridging the physical and cyber domains.

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