Transfer-learning multi-input multi-output equalizer for mode-division multiplexing systems  

作　　者：Tianfeng Zhao Feng Wen Mingming Tan Baojian Wu Bo Xu Kun Qiu 赵天烽;文峰;Mingming Tan;武保剑;许渤;邱昆(Key Laboratory of Optical Fiber Sensing and Communication,Ministry of Education,University of Electronic Science and Technology of China,Chengdu 611731,China;Aston Institute of Photonics Technologies,Aston University,Birmingham B47ET,UK)

机构地区：[1]Key Laboratory of Optical Fiber Sensing and Communication,Ministry of Education,University of Electronic Science and Technology of China,Chengdu 611731,China [2]Aston Institute of Photonics Technologies,Aston University,Birmingham B47ET,UK

出　　处：《Chinese Optics Letters》2024年第7期12-18,共7页中国光学快报（英文版）

基　　金：supported by the National Key R&D Program of China(No.2018YFB1801001);the Royal Society International Exchange Grant(No.IEC\NSFC\211244).

摘　　要：We propose a transfer-learning multi-input multi-output(TL-MIMO)scheme to significantly reduce the required training complexity for converging the equalizers in mode-division multiplexing(MDM)systems.Based on a built three-mode(LP01,LP11a,and LP11b)multiplexed experimental system,we thoughtfully investigate the TL-MIMO performances on the three-typed data,collecting from different sampling times,launching optical powers,and inputting optical signal-to-noise ratios(OSNRs).A dramatic reduction of approximately 40%–83.33%in the required training complexity is achieved in all three scenarios.Furthermore,the good stability of TL-MIMO in both the launched powers and OSNR test bands has also been proved.

关 键 词：mode division multiplexing multi-input multi-output transfer learning training complexity 

分 类 号：TN715[电子电信—电路与系统]