{"id":116889,"date":"2018-07-02T00:00:00","date_gmt":"2018-07-01T15:00:00","guid":{"rendered":"http:\/\/175.125.95.178\/ai-in-wave\/16889\/"},"modified":"2026-04-14T08:24:18","modified_gmt":"2026-04-13T23:24:18","slug":"16889","status":"publish","type":"ai-in-wave","link":"http:\/\/ee.presscat.kr\/en\/ai-in-wave\/16889\/","title":{"rendered":"Nonlinear Equalizer Based on Neural Networks for PAM-4 Signal Transmission Using DML(IEEE)"},"content":{"rendered":"<p>The recent study on artificial neural network signal equalization authored by Ahmed Galib Reza (KAIST EE) and June-Koo Kevin Rhee has been published in IEEE Photonics Technology Letters.&nbsp; (&nbsp;<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8401897\" rel=\"noopener\">https:\/\/ieeexplore.ieee.org\/document\/8401897<\/a>&nbsp;)<\/p>\n<p>Article Content:<\/p>\n<p>Title: Nonlinear Equalizer Based on Neural Networks for PAM-4 Signal Transmission Using DML<\/p>\n<p>Authors: Ahmed Galib Reza, and June-Koo Kevin Rhee<\/p>\n<p>Nonlinear distortion from a directly modulated laser (DML) is one of the major limiting factors to enhance the transmission capacity beyond 10 Gb\/s for an intensity modulation direct-detection optical access network. In this letter, we propose and demonstrate a low-complexity nonlinear equalizer (NLE) based on a machine-learning algorithm called artificial neural network (ANN). Experimental results for a DML-based 20-Gb\/s signal transmission over an 18-km SMF-28e fiber at 1310-nm employing pulse amplitude modulation (PAM)-4 confirm that the proposed ANN-NLE equalizer can increase the channel capacity and significantly reduce the impact of nonlinear penalties.<\/p>\n<p>&nbsp;<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" alt=\"\" data-delta=\"1\" height=\"833\" src=\"http:\/\/ee.presscat.kr\/sites\/default\/files\/%EC%A4%80%EA%B5%AC%EC%A4%80%EA%B5%AC%EC%A4%80%EA%B5%AC.jpg\" width=\"1232\" title=\"\"><\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" alt=\"\" data-delta=\"2\" height=\"757\" src=\"http:\/\/ee.presscat.kr\/sites\/default\/files\/%EC%A4%80%EA%B5%AC%EC%A4%80%EA%B5%AC.jpg\" width=\"1419\" title=\"\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>801<\/p>\n","protected":false},"featured_media":126787,"template":"","class_list":["post-116889","ai-in-wave","type-ai-in-wave","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/ai-in-wave\/116889","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/ai-in-wave"}],"about":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/types\/ai-in-wave"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/media\/126787"}],"wp:attachment":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/media?parent=116889"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}