{"id":118469,"date":"2021-10-11T21:55:00","date_gmt":"2021-10-11T12:55:00","guid":{"rendered":"http:\/\/175.125.95.178\/ai-in-communication\/18469\/"},"modified":"2026-05-03T04:36:35","modified_gmt":"2026-05-02T19:36:35","slug":"18469","status":"publish","type":"ai-in-communication","link":"http:\/\/ee.presscat.kr\/en\/ai-in-communication\/18469\/","title":{"rendered":"Meta-learning to communicate: Fast end-to-end training for fading channels"},"content":{"rendered":"<p style=\"text-indent:18.0pt\"><span style=\"font-size:12pt\"><span style=\"line-height:109%\"><span><span style=\"font-family:Calibri,sans-serif\"><span lang=\"EN-GB\" style=\"font-size:13.0pt\"><span style=\"line-height:109%\"><span>Authors: <b>Sangwoo Park<\/b>, Osvaldo Simeone, <b>Joonhyuk Kang<\/b><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p style=\"text-indent:18.0pt\"><span style=\"font-size:12pt\"><span style=\"line-height:109%\"><span><span style=\"font-family:Calibri,sans-serif\"><span lang=\"EN-GB\" style=\"font-size:13.0pt\"><span style=\"line-height:109%\"><span>Conference: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p style=\"text-indent:18.0pt\"><span style=\"font-size:12pt\"><span style=\"line-height:109%\"><span><span style=\"font-family:Calibri,sans-serif\"><span lang=\"EN-GB\" style=\"font-size:13.0pt\"><span style=\"line-height:109%\"><span>Abstract: We propose coherent AI-based end-to-end communication system via meta-learning under available channel model. With few trainings on new channel, proposed meta-learning based autoencoder finds coherent solution with reduced training complexity. <\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n<p style=\"text-indent:18.0pt\">&nbsp;<\/p>\n<p style=\"text-indent:18.0pt\">\n<div class=\"\"><img decoding=\"async\" class=\"\" src=\"\/wp-content\/uploads\/drupal\/\uac15\uc8fc\ud601\uad50\uc218\ub2d82.png\" alt=\"\" title=\"\"><\/div>\n<\/p>\n<p class=\"rtejustify\" style=\"text-indent: 18pt\"><span style=\"font-size:12pt\"><span style=\"line-height:109%\"><span><span style=\"font-family:Calibri,sans-serif\"><span lang=\"EN-GB\" style=\"font-size:11.0pt\"><span style=\"line-height:109%\"><span>Fig. 2: Block error rate over iteration number for training on the new channel (4bits, 4complex channel uses, Rayleigh block fading channel model with 3taps, 16messages per iteration).<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>853<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-118469","ai-in-communication","type-ai-in-communication","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/ai-in-communication\/118469","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/ai-in-communication"}],"about":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/types\/ai-in-communication"}],"wp:attachment":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/media?parent=118469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}