{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T16:08:04Z","timestamp":1780330084411,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":4,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T00:00:00Z","timestamp":1781913600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,21]]},"DOI":"10.1145\/3812835.3814874","type":"proceedings-article","created":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T15:54:37Z","timestamp":1780329277000},"page":"49-50","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Poster: Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-5367-1956","authenticated-orcid":false,"given":"Ruiqi","family":"Kong","sequence":"first","affiliation":[{"name":"The Chinese University of Hong Kong, Sha Tin, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8886-9680","authenticated-orcid":false,"given":"He","family":"Chen","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Sha Tin, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9117-7212","authenticated-orcid":false,"given":"Xiaojun","family":"Lin","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Sha Tin, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,20]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Fast and Efficient Cross Band Channel Prediction Using Machine Learning. In The 25th Annual International Conference on Mobile Computing and Networking","author":"Bakshi Arjun","year":"2019","unstructured":"Arjun Bakshi, Yifan Mao, Kannan Srinivasan, and Srinivasan Parthasarathy. 2019. Fast and Efficient Cross Band Channel Prediction Using Machine Learning. In The 25th Annual International Conference on Mobile Computing and Networking (Los Cabos, Mexico) (MobiCom '19). Association for Computing Machinery, New York, NY, USA, Article 37, 16 pages."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3636534.3649343"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447993.3483275"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2934872.2934895"}],"event":{"name":"MobiSys Companion '26: 24th Annual International Conference on Mobile Systems, Applications and Services Companion","location":"University of Cambridge Cambridge United Kingdom","acronym":"MobiSys Companion '26","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGOPS ACM Special Interest Group on Operating Systems"]},"container-title":["Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Companion"],"original-title":[],"deposited":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T15:56:08Z","timestamp":1780329368000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3812835.3814874"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,20]]},"references-count":4,"alternative-id":["10.1145\/3812835.3814874","10.1145\/3812835"],"URL":"https:\/\/doi.org\/10.1145\/3812835.3814874","relation":{},"subject":[],"published":{"date-parts":[[2026,6,20]]},"assertion":[{"value":"2026-06-20","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}