{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T07:08:47Z","timestamp":1784099327298,"version":"3.55.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,5,24]],"date-time":"2026-05-24T00:00:00Z","timestamp":1779580800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,24]],"date-time":"2026-05-24T00:00:00Z","timestamp":1779580800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,24]]},"DOI":"10.1109\/icc59461.2026.11588061","type":"proceedings-article","created":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T19:38:09Z","timestamp":1784057889000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Conditional Diffusion Model-Driven Massive MIMO Iterative Detection"],"prefix":"10.1109","author":[{"given":"Keke","family":"Ying","sequence":"first","affiliation":[{"name":"Beijing Institute of Technology,School of Information and Electronics,Beijing,China,100081"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Gao","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology (BIT),Zhuhai,China,519088"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"De","family":"Mi","sequence":"additional","affiliation":[{"name":"Birmingham City University,College of Computing,Birmingham,United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziwei","family":"Wan","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology (Jiaxing),Yangtze Delta Region Academy,Jiaxing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheng","family":"Chen","sequence":"additional","affiliation":[{"name":"Ocean University of China,School of Computer Science and Technology,Qingdao,China,266100"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tony Q.S.","family":"Quek","sequence":"additional","affiliation":[{"name":"Singapore University of Technology and Design,Pillar of Information Systems Technology and Design,Singapore,487372"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H.","family":"Vincent Poor","sequence":"additional","affiliation":[{"name":"Princeton University,Department of Electrical and Computer Engineering,Princeton,NJ,USA,08544"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2025.3636585"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3334878"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2967175"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2014.2332349"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2976585"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3018802"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3191344"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3045199"},{"key":"ref9","article-title":"Diffusion posterior sampling for general noisy inverse problems","volume-title":"Proc. Int. Conf. Learn. Represent","author":"Chung"},{"key":"ref10","first-page":"11918","article-title":"Generative modeling by estimating gradients of the data distribution","volume-title":"Adv. Neural Inf. Process. Syst","author":"Song"},{"key":"ref11","first-page":"6840","article-title":"Denoising diffusion probabilistic models","author":"Ho","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3220784"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2025.3549592"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3221057"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3348202"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446413"},{"key":"ref17","first-page":"1","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"Proc. Int. Conf. Learn. Represent","author":"Song"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00142"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2011.tm11181"},{"key":"ref20","first-page":"1","article-title":"Quantized compressed sensing with score-based generative models","volume-title":"Proc. Int. Conf. Learn. Represent","author":"Meng"},{"key":"ref21","article-title":"QuaDRiGa-quasi deterministic radio channel generator, user manual and documentation","volume-title":"Heinrich Hertz Institute, Tech. Rep. v2.6.1","author":"Jaeckel","year":"2021"}],"event":{"name":"ICC 2026 - IEEE International Conference on Communications","location":"Glasgow, United Kingdom","start":{"date-parts":[[2026,5,24]]},"end":{"date-parts":[[2026,5,28]]}},"container-title":["ICC 2026 - IEEE International Conference on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11586754\/11586037\/11588061.pdf?arnumber=11588061","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T06:32:39Z","timestamp":1784097159000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11588061\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,24]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icc59461.2026.11588061","relation":{},"subject":[],"published":{"date-parts":[[2026,5,24]]}}}