{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T09:37:17Z","timestamp":1773999437630,"version":"3.50.1"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,8]]},"DOI":"10.1109\/globecom59602.2025.11431979","type":"proceedings-article","created":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T20:04:01Z","timestamp":1773950641000},"page":"4958-4963","source":"Crossref","is-referenced-by-count":0,"title":["Probabilistic Representation for Robust Link Adaptation in Deep Reinforcement Learning-based 5G Systems"],"prefix":"10.1109","author":[{"given":"Juhwan","family":"Song","sequence":"first","affiliation":[{"name":"Samsung Electronics,Samsung Research,Seoul,Republic of Korea"}]},{"given":"Yujin","family":"Nam","sequence":"additional","affiliation":[{"name":"Samsung Electronics,Samsung Research,Seoul,Republic of Korea"}]},{"given":"Minsuk","family":"Choi","sequence":"additional","affiliation":[{"name":"Samsung Electronics,Samsung Research,Seoul,Republic of Korea"}]},{"given":"Sang Hyun","family":"Lee","sequence":"additional","affiliation":[{"name":"Samsung Electronics,Samsung Research,Seoul,Republic of Korea"}]},{"given":"Jinguk","family":"Jeong","sequence":"additional","affiliation":[{"name":"Samsung Electronics,Samsung Research,Seoul,Republic of Korea"}]},{"given":"Seowoo","family":"Jang","sequence":"additional","affiliation":[{"name":"Samsung Electronics,Samsung Research,Seoul,Republic of Korea"}]}],"member":"263","reference":[{"key":"ref1","article-title":"A comprehensive survey on 6g networks: Applications, core services, enabling technologies, and future challenges","author":"Shahraki","year":"2021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900411"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2838585"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-016-0518-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2933973"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685108"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500379"},{"key":"ref8","article-title":"Auto-encoding variational bayes","author":"Kingma","year":"2013"},{"key":"ref9","article-title":"beta-vae: Learning basic visual concepts with a constrained variational framework","volume":"3","author":"Higgins","year":"2017","journal-title":"ICLR (Poster)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM54140.2023.10437057"},{"key":"ref12","first-page":"1","article-title":"eOLLA: an enhanced outer loop link adaptation for cellular networks","volume-title":"Eurasip J. Wirel. Commun. Netw.","volume":"2016","author":"Blanquez-Casado","year":"2016"},{"key":"ref13","article-title":"3rd Generation Partnership Project; Technical Specification Group Radio Access Network; NR; Physical layer procedures for data (Release 18, version 18.6.0)","year":"2024","journal-title":"3GPP TS 38.214"},{"key":"ref14","article-title":"Playing atari with deep reinforcement learning","author":"Mnih","year":"2013"},{"key":"ref15","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017"}],"event":{"name":"GLOBECOM 2025 - 2025 IEEE Global Communications Conference","location":"Taipei, Taiwan","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,12]]}},"container-title":["GLOBECOM 2025 - 2025 IEEE Global Communications Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11431620\/11431622\/11431979.pdf?arnumber=11431979","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T06:05:42Z","timestamp":1773986742000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11431979\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/globecom59602.2025.11431979","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}