{"id":89,"date":"2023-10-11T23:08:59","date_gmt":"2023-10-11T14:08:59","guid":{"rendered":"https:\/\/ains.wqo.me\/?page_id=89"},"modified":"2026-01-06T16:08:11","modified_gmt":"2026-01-06T07:08:11","slug":"%ec%9a%b0%ec%a3%bc-%ea%b3%b5%ec%a4%91-%ec%a7%80%ec%83%81-%ed%86%b5%ed%95%a9-%eb%84%a4%ed%8a%b8%ec%9b%8c%ed%81%acsagin%ec%97%90%ec%84%9c%ec%9d%98-%ec%9e%90%ec%9c%a8%ec%a7%80%eb%8a%a5","status":"publish","type":"page","link":"https:\/\/ains.cau.ac.kr\/?page_id=89","title":{"rendered":"AI-Based Intelligent Resource Management\u00a0"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-355 size-large\" src=\"https:\/\/ains.cau.ac.kr\/wp-content\/uploads\/2026\/01\/ains_image_2-1024x741.png\" alt=\"\" width=\"525\" height=\"380\" srcset=\"https:\/\/ains.cau.ac.kr\/wp-content\/uploads\/2026\/01\/ains_image_2-1024x741.png 1024w, https:\/\/ains.cau.ac.kr\/wp-content\/uploads\/2026\/01\/ains_image_2-300x217.png 300w, https:\/\/ains.cau.ac.kr\/wp-content\/uploads\/2026\/01\/ains_image_2-768x556.png 768w, https:\/\/ains.cau.ac.kr\/wp-content\/uploads\/2026\/01\/ains_image_2.png 1445w\" sizes=\"auto, (max-width: 525px) 100vw, 525px\" \/><br \/>\nWe maximize resource efficiency through data-driven AI algorithms, overcoming the limitations of mathematical modeling in complex network environments.<br \/>\n<code>  <\/code> Reinforcement Learning-Based Optimization:\u00a0Researching algorithms that autonomously perform power control, beamforming, and interference management in D2D and cellular networks using Deep Reinforcement Learning (DRL) and Multi-Agent Reinforcement Learning (MADRL).<br \/>\n<code>  <\/code> Machine Learning-Based QoS Assurance:\u00a0Developing DNN (Deep Neural Network)-based dynamic power control and mode selection techniques to guarantee network jitter and service reliability.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We maximize resource efficiency through data-driven AI algorithms, overcoming the limitations of mathematical modeling in complex network environments. Reinforcement Learning-Based Optimization:\u00a0Researching algorithms that autonomously perform power control, beamforming, and interference management in D2D and cellular networks using Deep Reinforcement Learning (DRL) and Multi-Agent Reinforcement Learning (MADRL). Machine Learning-Based QoS Assurance:\u00a0Developing DNN (Deep Neural Network)-based dynamic &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/ains.cau.ac.kr\/?page_id=89\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;AI-Based Intelligent Resource Management\u00a0&#8220;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-89","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ains.cau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/89","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ains.cau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ains.cau.ac.kr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ains.cau.ac.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ains.cau.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=89"}],"version-history":[{"count":31,"href":"https:\/\/ains.cau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/89\/revisions"}],"predecessor-version":[{"id":524,"href":"https:\/\/ains.cau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/89\/revisions\/524"}],"wp:attachment":[{"href":"https:\/\/ains.cau.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=89"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}