March 6, 2024, 5:43 a.m. | Behnam Behinaein Hamgini, Hossein Najafi, Ali Bakhshali, Zhuhong Zhang

cs.LG updates on arXiv.org arxiv.org

arXiv:2304.13119v2 Announce Type: replace-cross
Abstract: In this paper, we introduce a new nonlinear optical channel equalizer based on Transformers. By leveraging parallel computation and attending directly to the memory across a sequence of symbols, we show that Transformers can be used effectively for nonlinear equalization in coherent long-haul transmission. For this application, we present an implementation of the encoder part of the Transformer and analyze its performance over a wide range of different hyper-parameters. It is shown that by processing …

abstract application arxiv compensation computation cs.it cs.lg eess.sp equalization math.it memory optical paper show systems transformers type

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