{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:17:12Z","timestamp":1775913432871,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSF","award":["CNS-2148141"],"award-info":[{"award-number":["CNS-2148141"]}]},{"name":"Keysight Technologies through the 6G@UT Center within the Wireless Networking and Communications Group (WNCG) at The University of Texas at Austin"},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"crossref","award":["W911NF2310062"],"award-info":[{"award-number":["W911NF2310062"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"crossref","award":["N00014-24-1-2542"],"award-info":[{"award-number":["N00014-24-1-2542"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/twc.2025.3600286","type":"journal-article","created":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T19:24:03Z","timestamp":1756236243000},"page":"2907-2921","source":"Crossref","is-referenced-by-count":12,"title":["Generating High Dimensional User-Specific Wireless Channels Using Diffusion Models"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2348-1642","authenticated-orcid":false,"given":"Taekyun","family":"Lee","sequence":"first","affiliation":[{"name":"6G@UT Center, WNCG, The University of Texas at Austin, Austin, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8067-8062","authenticated-orcid":false,"given":"Juseong","family":"Park","sequence":"additional","affiliation":[{"name":"6G@UT Center, WNCG, The University of Texas at Austin, Austin, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2256-5729","authenticated-orcid":false,"given":"Hyeji","family":"Kim","sequence":"additional","affiliation":[{"name":"6G@UT Center, WNCG, The University of Texas at Austin, Austin, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9115-5088","authenticated-orcid":false,"given":"Jeffrey G.","family":"Andrews","sequence":"additional","affiliation":[{"name":"6G@UT Center, WNCG, The University of Texas at Austin, Austin, TX, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF60004.2024.10942761"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2300708"},{"key":"ref3","volume-title":"A Preliminary View of Spectrum Bands in the 7.125\u201324 GH Range; and a Summary of Spectrum Sharing Frameworks","year":"2023"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2976585"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3055202"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ojcoms.2024.3373368"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2022.3222479"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3220784"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2018.2818160"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2968430"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3283475"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3169900"},{"key":"ref13","first-page":"1","article-title":"DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications","volume-title":"Proc. Inf. Theory Appl. Workshop (ITA)","author":"Alkhateeb"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3115152"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2662687"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974728"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2013.2260813"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000180"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3092716"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3140102"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/INDIN45582.2020.9442206"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2019.1800635"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036947"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2024.3363621"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/WCSP58612.2023.10404381"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM54140.2023.10437154"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/tmlcn.2025.3571026"},{"key":"ref28","first-page":"1","article-title":"AugMix: A simple data processing method to improve robustness and uncertainty","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Hendrycks"},{"key":"ref29","article-title":"Uniform versus uncertainty sampling: When being active is less efficient than staying passive","volume-title":"Proc. ICML Workshop Adapt. Exp. Design Act. Learn. Real-World","author":"Tifrea"},{"key":"ref30","first-page":"1","article-title":"Decoupling representation and classifier for long-tailed recognition","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kang"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref32","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NIPS","author":"Ho"},{"key":"ref33","first-page":"5092","article-title":"Score-based source separation with applications to digital communication signals","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Jayashankar"},{"key":"ref34","article-title":"Technical Specification Group Radio Access Network; Study on Channel Model for Frequencies From 0.5 to 100 GHz (Release 16)","volume-title":"Eur. Telecommun. Standards Inst. (ETSI)","year":"2020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01036"},{"key":"ref36","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. NIPS","volume":"34","author":"Dhariwal"},{"key":"ref37","first-page":"1","article-title":"Denoising diffusion implicit models","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Song"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9149229"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2002.803324"},{"key":"ref40","article-title":"QuaDRiGa\u2014Quasi deterministic radio channel generator, user manual and documentation","author":"Jaeckel","year":"2023"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps58843.2023.10465179"},{"key":"ref42","first-page":"11918","article-title":"Generative modeling by estimating gradients of the data distribution","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Song"},{"key":"ref43","volume-title":"Stochastic Differential Equations: An Introduction With Applications","author":"\u00d8ksendal","year":"2013"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00142"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref46","article-title":"On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates","author":"Bruno","year":"2023","journal-title":"arXiv:2311.13584"},{"key":"ref47","first-page":"4672","article-title":"Score approximation, estimation and distribution recovery of diffusion models on low-dimensional data","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Chen"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2850226"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2016.2523924"},{"key":"ref50","first-page":"5769","article-title":"Improved training of Wasserstein GANs","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Gulrajani"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/7693\/11298242\/11142589-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7693\/11298242\/11142589.pdf?arnumber=11142589","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:07:40Z","timestamp":1768255660000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11142589\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/twc.2025.3600286","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"value":"1536-1276","type":"print"},{"value":"1558-2248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}