Qinghui Chen , Weihao You , Kexiong Liu , Shicong Wang , Li Zhao , Hong Wen
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引用次数: 0
Abstract
We propose a modified multi-symbol output (MSO) neural network (NN)-based equalization scheme. In this scheme, the multi-label realization is optimized to support high-order 64-QAM MSO, and the performance is enhanced by adding residual connections, which split linear and nonlinear equalization in one model. The proposed scheme is utilized in a 70-m D-band photonics-aided millimeter wave (MMW) transmission system. We successfully realized 12-Gbaud 64-QAM transmission with Q-factor satisfying SD-FEC.
期刊介绍：
Innovations in optical fiber technology are revolutionizing world communications. Newly developed fiber amplifiers allow for direct transmission of high-speed signals over transcontinental distances without the need for electronic regeneration. Optical fibers find new applications in data processing. The impact of fiber materials, devices, and systems on communications in the coming decades will create an abundance of primary literature and the need for up-to-date reviews.
Optical Fiber Technology: Materials, Devices, and Systems is a new cutting-edge journal designed to fill a need in this rapidly evolving field for speedy publication of regular length papers. Both theoretical and experimental papers on fiber materials, devices, and system performance evaluation and measurements are eligible, with emphasis on practical applications.
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