{"id":118472,"date":"2021-10-11T21:57:39","date_gmt":"2021-10-11T12:57:39","guid":{"rendered":"http:\/\/175.125.95.178\/ai-in-communication\/18472\/"},"modified":"2026-04-13T03:40:01","modified_gmt":"2026-04-12T18:40:01","slug":"18472","status":"publish","type":"ai-in-communication","link":"http:\/\/ee.presscat.kr\/en\/ai-in-communication\/18472\/","title":{"rendered":"Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary 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: Tomer Raviv, <b>Sangwoo Park<\/b>, Nir Shlezinger, Osvaldo Simeone, Yonina C Eldar, <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: 2021 IEEE International Conference on Communications Workshops (ICC Workshops) &#8211; Emerging6G-Com<\/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: While meta-learning reduces communication overhead via learning good inductive bias among related tasks, model-based learning solves this overhead issue by available communication-theory-based algorithms, e.g., Viterbi algorithm. We combine these two approaches, meta-learning and model-based learning, to further reduce communication overhead, namely Meta-ViterbiNet. <\/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\ub2d85.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. 5: Illustration of the operation of Meta-ViterbiNet<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>706<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-118472","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\/118472","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=118472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}