{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T13:24:53Z","timestamp":1773840293458,"version":"3.50.1"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100006730","name":"German Ministry of Education and Research","doi-asserted-by":"publisher","award":["16KISK109 (6G-ANNA)"],"award-info":[{"award-number":["16KISK109 (6G-ANNA)"]}],"id":[{"id":"10.13039\/501100006730","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006730","name":"German Ministry of Education and Research","doi-asserted-by":"publisher","award":["16KISK016 (Open6GHub)"],"award-info":[{"award-number":["16KISK016 (Open6GHub)"]}],"id":[{"id":"10.13039\/501100006730","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Open J. Commun. Soc."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/ojcoms.2025.3554993","type":"journal-article","created":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T03:05:20Z","timestamp":1743044720000},"page":"2454-2473","source":"Crossref","is-referenced-by-count":5,"title":["Probabilistic Interference Prediction for Dynamic 6G In-X Sub-Networks"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4504-3847","authenticated-orcid":false,"given":"Pramesh","family":"Gautam","sequence":"first","affiliation":[{"name":"Department of Communication Engineering, University of Bremen, Bremen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8501-7324","authenticated-orcid":false,"given":"Carsten","family":"Bockelmann","sequence":"additional","affiliation":[{"name":"Department of Communication Engineering, University of Bremen, Bremen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5790-1470","authenticated-orcid":false,"given":"Armin","family":"Dekorsy","sequence":"additional","affiliation":[{"name":"Department of Communication Engineering, University of Bremen, Bremen, Germany"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"European Vision for the 6G Network Ecosystem","author":"Bernardos","year":"2021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3313505"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2021.3121530"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3207918"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2200360"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-022-00728-8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2001.2200396"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3143002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICC51166.2024.10622836"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM54140.2023.10437888"},{"key":"ref11","volume-title":"Framework and Overall Objectives of the Future Development of IMT for 2030 and Beyond","year":"2023"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001625"},{"key":"ref13","first-page":"1","article-title":"URLLC for factory automation: An extensive throughput-reliability analysis of D-MIMO","volume-title":"Proc. 24th Int. ITG Workshop Smart Antennas","author":"Alonzo"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.3035111"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM54140.2023.10437515"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3127540.3127579"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3059032"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICTC52510.2021.9620845"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3165888"},{"key":"ref20","article-title":"Dynamic interference prediction for in-X 6G sub-networks","author":"Gautam","year":"2024","journal-title":"arXiv:2412.04876"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/EuCNC\/6GSummit58263.2023.10188327"},{"key":"ref22","article-title":"Mathematical modelling and prediction of interference power in in-robot subnetworks","author":"Menholt","year":"2022"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops59551.2024.10615704"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops57953.2023.10283727"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2017.2773542"},{"key":"ref26","article-title":"Study on communication for automation in vertical domains (CAV)","year":"2018"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2006.256990"},{"key":"ref28","article-title":"5G: Study on channel model for frequencies from 0.5 to 100 GHz, (Release 16), Version 16.1.0","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/VTCFall.2015.7390909"},{"key":"ref30","volume-title":"Service Requirements for the 5G System","year":"2019"},{"key":"ref31","volume-title":"Interference data collection with beam information for ml-based interference prediction","author":"Marzban","year":"2024"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC55385.2023.10118695"},{"key":"ref33","first-page":"3011","article-title":"Gaussian processes for machine learning (GPML) toolbox","volume":"11","author":"Rasmussen","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref34","volume-title":"Gaussian Processes for Machine Learning","volume":"2","author":"Williams","year":"2006"},{"key":"ref35","first-page":"567","article-title":"Variational learning of inducing variables in sparse Gaussian processes","volume-title":"Proc. Artif. Intell. Statist.","author":"Titsias"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.engstruct.2021.113554"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2024.114509"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1177\/14759217231170316"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2021.3134701"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511794308"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2883941"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2863286"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/ass068"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1137\/16M1090648"},{"key":"ref45","first-page":"1743","article-title":"Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution","volume-title":"Proc. 22nd Int. Conf. Artif. Intell. Statist.","author":"Paananen"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ISMODE56940.2022.10181004"},{"key":"ref47","first-page":"26655","article-title":"Uncertainty modeling in generative compressed sensing","volume-title":"Proc. 39th Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref48","first-page":"877","article-title":"Student-t processes as alternatives to Gaussian processes","volume-title":"Proc. Artif. Intell. Statist.","author":"Shah"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.3034430"},{"key":"ref50","first-page":"1","article-title":"Gaussian process regression with student-t likelihood","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vanhatalo"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3373098"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511550683"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i14.29549"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-015-0388-0"},{"key":"ref55","article-title":"Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition","author":"Sak","year":"2014","journal-title":"arXiv:1402.1128"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-3516-4_9"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3934\/mbe.2023739"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9005997"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2867029"},{"key":"ref60","first-page":"1","article-title":"Conformalized quantile regression","volume-title":"Proc. 33rd Conf. Neural Inf. Process. Syst.","volume":"32","author":"Romano"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.10.078"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2010.2043769"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2016.2537298"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2018.2874122"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3217694"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOMW.2017.8269071"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC57260.2024.10571230"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC55385.2023.10118710"},{"key":"ref69","volume-title":"A 5G traffic model for industrial use cases","year":"2019"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2838585"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/SoftCOM.2013.6671880"},{"key":"ref72","volume-title":"Fundamentals of Statistical Signal Processing: Estimation Theory","author":"Kay","year":"1993"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC59610.2024.10817320"},{"key":"ref74","volume-title":"6G in-factory subnetworks: CENTRIC-WP4.","year":"2025"}],"container-title":["IEEE Open Journal of the Communications Society"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8782661\/10829557\/10939016.pdf?arnumber=10939016","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T17:45:44Z","timestamp":1744911944000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10939016\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":74,"URL":"https:\/\/doi.org\/10.1109\/ojcoms.2025.3554993","relation":{},"ISSN":["2644-125X"],"issn-type":[{"value":"2644-125X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}