{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T10:40:02Z","timestamp":1750070402928,"version":"3.41.0"},"reference-count":10,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T00:00:00Z","timestamp":1747008000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/deed.de"},{"start":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T00:00:00Z","timestamp":1747008000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/deed.de"}],"funder":[{"DOI":"10.13039\/501100006012","name":"Christian Doppler Forschungsgesellschaft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006012","id-type":"DOI","asserted-by":"publisher"}]},{"name":"TU Wien"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Elektrotech. Inftech."],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>Zusammenfassung<\/jats:title>\n          <jats:p>K\u00fcnftige drahtlose Multiple-Input Multiple-Output (MIMO)-Systeme werden sowohl Frequenzb\u00e4nder unter 6\u202fGHz als auch Millimeterwellen (mmWave) integrieren, um den steigenden Anforderungen an hohe Datenraten gerecht zu werden. Der Aufbau von MIMO-Verbindungen erfordert in der Regel eine pr\u00e4zise Kanalsch\u00e4tzung, die bei mmWave-Frequenzen aufgrund des geringen Signal-Rausch-Verh\u00e4ltnisses (SNR) eine besondere Herausforderung darstellt. In dieser Arbeit schlagen wir eine neuartige Deep Learning-basierte Methode zur Sch\u00e4tzung von mmWave MIMO-Kan\u00e4len vor, die Au\u00dferbandinformationen aus dem Sub-6 GHz-Band einbezieht. Unsere Methode basiert auf einer Convolutional Neural Network (CNN)-Architektur und wird sowohl mit Deep Learning-Ans\u00e4tzen verglichen, die ausschlie\u00dflich auf In-Band-Informationen basieren, als auch mit anderen Au\u00dferband-gest\u00fctzten Verfahren. Die Simulationsergebnisse zeigen, dass die vorgeschlagene Deep Learning-Methode mit Au\u00dferband-Unterst\u00fctzung bestehende Alternativen hinsichtlich des mittleren quadratischen Kanalfehlers (MSE) \u00fcbertrifft.<\/jats:p>","DOI":"10.1007\/s00502-025-01325-1","type":"journal-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T09:23:52Z","timestamp":1747041832000},"page":"255-260","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["MIMO-Kanalsch\u00e4tzung f\u00fcr mmWave basierend auf Deep Learning mit Au\u00dferbandinformation","MIMO channel estimation for mmWave based on deep learning with out-of-band information"],"prefix":"10.1007","volume":"142","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4380-563X","authenticated-orcid":false,"given":"Faruk","family":"Pasic","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philipp","family":"Svoboda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christoph F.","family":"Mecklenbr\u00e4uker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,12]]},"reference":[{"key":"1325_CR1","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1109\/ACCESS.2013.2260813","volume":"1","author":"TS Rappaport","year":"2013","unstructured":"Rappaport\u00a0TS, Sun\u00a0S, Mayzus\u00a0R, Zhao\u00a0H, Azar\u00a0Y, Wang\u00a0K, Wong\u00a0GN, Schulz\u00a0JK, Samimi\u00a0M, Gutierrez\u00a0F (2013) Millimeter wave mobile communications for 5G cellular: It will work! IEEE Access 1:335\u2013349","journal-title":"IEEE Access"},{"issue":"9","key":"1325_CR2","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/MCOM.003.2200718","volume":"61","author":"F Pasic","year":"2023","unstructured":"Pasic\u00a0F, Di Cicco\u00a0N, Skocaj\u00a0M, Tornatore\u00a0M, Schwarz\u00a0S, Mecklenbr\u00e4uker\u00a0CF, Degli-Esposti\u00a0V (2023) Multi-band measurements for deep learning-based dynamic channel prediction and simulation. IEEE Commun Mag 61(9):98\u2013104","journal-title":"IEEE Commun. Mag."},{"issue":"5","key":"1325_CR3","doi-asserted-by":"publisher","first-page":"852","DOI":"10.1109\/LWC.2018.2832128","volume":"7","author":"H He","year":"2018","unstructured":"He\u00a0H, Wen\u00a0C\u2011K, Jin\u00a0S, Li\u00a0GY (2018) Deep learning-based channel estimation for beamspace mmWave massive MIMO systems. IEEE Wireless Commun Lett 7(5):852\u2013855","journal-title":"IEEE Wireless Commun Lett"},{"key":"1325_CR4","volume-title":"Deep learning-based mmWave MIMO channel estimation using sub-6 GHz channel information: CNN and UNet approaches","author":"F Pasic","year":"2025","unstructured":"Pasic\u00a0F, Eller\u00a0L, Schwarz\u00a0S, Rupp\u00a0M, Mecklenbr\u00e4uker\u00a0CF (2025) Deep learning-based mmWave MIMO channel estimation using sub\u20116 GHz channel information: CNN and UNet approaches. IEEE INFOCOM 2025\u2014IEEEConference on Computer Communications Workshops (INFOCOM WKSHPS). (https:\/\/owncloud.tuwien.ac.at\/index.php\/s\/828AQoql3xLSIxs)"},{"issue":"7","key":"1325_CR5","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1109\/MCOM.001.1900700","volume":"58","author":"A Ali","year":"2020","unstructured":"Ali\u00a0A, Gonzalez-Prelcic\u00a0N, Heath\u00a0RW, Ghosh\u00a0A (2020) Leveraging sensing at the infrastructure for mmwave communication. IEEE Commun Mag 58(7):84\u201389","journal-title":"IEEE Commun. Mag."},{"key":"1325_CR6","volume-title":"2023 IEEE 34th Annual InternationalSymposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","author":"F Pasic","year":"2023","unstructured":"Pasic\u00a0F, Hofer\u00a0M, Radovic\u00a0D, Groll\u00a0H, Caban\u00a0S, Zemen\u00a0T, Mecklenbr\u00e4uker\u00a0CF (2023) Quantifying the reproducibility of multi-band high speed wireless channel measurements. In: 2023 IEEE 34th Annual InternationalSymposium on Personal, Indoor and Mobile Radio Communications (PIMRC)"},{"key":"1325_CR7","volume-title":"2024 18th European Conference on Antennasand Propagation (EuCAP)","author":"D Radovic","year":"2024","unstructured":"Radovic\u00a0D, Pasic\u00a0F, Hofer\u00a0M, Zemen\u00a0T, Mecklenbr\u00e4uker\u00a0CF (2024) Stationarity of multiband channels for OTFS-based intelligent transportation systems. 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