{"id":584,"date":"2021-01-04T17:16:00","date_gmt":"2021-01-04T08:16:00","guid":{"rendered":"https:\/\/haselab.ee.kagu.tus.ac.jp\/?p=584"},"modified":"2024-01-04T13:25:20","modified_gmt":"2024-01-04T04:25:20","slug":"2021-ieee-18th-annual-consumer-communications-networking-conference-ccnc%e3%81%ab%e3%81%8a%e3%81%84%e3%81%a6%e3%80%81m2-%e5%8f%a4%e5%b7%9d-%e7%a9%82%e5%8d%97%e3%81%8c%e7%99%ba%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/haselab.ee.kagu.tus.ac.jp\/?p=584","title":{"rendered":"2021 IEEE 18th Annual Consumer Communications &#038; Networking Conference (CCNC)\u306b\u304a\u3044\u3066\u3001M2 \u53e4\u5ddd\u7a42\u5357\u304c\u767a\u8868"},"content":{"rendered":"\r\n<ul>\r\n<li>2021\u5e741\u67089\u65e5\u301c12\u65e5\u306b\u958b\u50ac\u3055\u308c\u305f2021 IEEE 18th Annual Consumer Communications &amp; Networking Conference (CCNC2021)\u306b\u304a\u3044\u3066\u3001M2 \u53e4\u5ddd\u7a42\u5357\u304c\u767a\u8868\u3057\u307e\u3057\u305f\u3002<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<p style=\"padding-left: 40px;\">\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb\uff1aA Channel Selection Algorithm Using Reinforcement Learning for Mobile Devices in Massive IoT System<\/p>\r\n\r\n\r\n\r\n<p style=\"padding-left: 40px;\">\u8457\u8005\uff1aHonami Furukawa (Tokyo University of Science), Aohan Li (Tokyo University of Science), Yozo Shoji (National Institute of Information and Communications Technology), Yoshito Watanabe (National Institute of Information and Communications Technology), Song-Ju Kim (Keio University), Koya Sato (Tokyo University of Science), Yiannis Andreopoulos (University College London), Mikio Hasegawa (Tokyo University of Science)<\/p>\r\n\r\n\r\n\r\n<p style=\"padding-left: 40px;\">\u5b66\u4f1aHP\uff1a<a href=\"https:\/\/ccnc2021.ieee-ccnc.org\/\">https:\/\/ccnc2021.ieee-ccnc.org\/<\/a><\/p>\r\n<p style=\"padding-left: 40px;\">\u672c\u8ad6\u6587\u3078\u306e\u30ea\u30f3\u30af\uff1a <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9369474\">https:\/\/ieeexplore.ieee.org\/document\/9369474<\/a><\/p>\r\n\r\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>2021\u5e741\u67089\u65e5\u301c12\u65e5\u306b\u958b\u50ac\u3055\u308c\u305f2021 IEEE 18th Annual Consumer Communications &amp; Networkin &#8230; <\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-584","post","type-post","status-publish","format-standard","hentry","category-5"],"_links":{"self":[{"href":"https:\/\/haselab.ee.kagu.tus.ac.jp\/index.php?rest_route=\/wp\/v2\/posts\/584","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/haselab.ee.kagu.tus.ac.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/haselab.ee.kagu.tus.ac.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/haselab.ee.kagu.tus.ac.jp\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/haselab.ee.kagu.tus.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=584"}],"version-history":[{"count":6,"href":"https:\/\/haselab.ee.kagu.tus.ac.jp\/index.php?rest_route=\/wp\/v2\/posts\/584\/revisions"}],"predecessor-version":[{"id":1676,"href":"https:\/\/haselab.ee.kagu.tus.ac.jp\/index.php?rest_route=\/wp\/v2\/posts\/584\/revisions\/1676"}],"wp:attachment":[{"href":"https:\/\/haselab.ee.kagu.tus.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=584"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/haselab.ee.kagu.tus.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=584"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/haselab.ee.kagu.tus.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=584"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}