{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:13:03Z","timestamp":1780053183471,"version":"3.54.0"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"5GMEDIAHUB","award":["101016714"],"award-info":[{"award-number":["101016714"]}]},{"name":"5GERA","award":["101016681"],"award-info":[{"award-number":["101016681"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1109\/tvt.2024.3373490","type":"journal-article","created":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T18:04:40Z","timestamp":1710180280000},"page":"11848-11861","source":"Crossref","is-referenced-by-count":16,"title":["Resource Demand Prediction for Network Slices in 5G Using ML Enhanced With Network Models"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2219-016X","authenticated-orcid":false,"given":"Luis A.","family":"Garrido","sequence":"first","affiliation":[{"name":"R&amp;D Department of Iquadrat Informatica S.L., Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6838-1768","authenticated-orcid":false,"given":"Anestis","family":"Dalgkitsis","sequence":"additional","affiliation":[{"name":"R&amp;D Department of Iquadrat Informatica S.L., Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1304-784X","authenticated-orcid":false,"given":"Kostas","family":"Ramantas","sequence":"additional","affiliation":[{"name":"R&amp;D Department of Iquadrat Informatica S.L., Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0972-3091","authenticated-orcid":false,"given":"Adlen","family":"Ksentini","sequence":"additional","affiliation":[{"name":"Communication Systems Department of EURECOM, Sophia Antipolis, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8774-1052","authenticated-orcid":false,"given":"Christos","family":"Verikoukis","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering and Informatics, University of Patras, Patras, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"System architecture for the 5G system (5GS)","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.23919\/CNSM55787.2022.9964722"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1600951"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3281411.3281435"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2967670"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2017.1600408"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.23919\/ACC50511.2021.9482996"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.1900243"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3023194"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2964707"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2019.8746706"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/COMSNETS.2019.8711328"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/infocom42981.2021.9488677"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.2197\/ipsjjip.25.153"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2021.3084519"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2891073"},{"key":"ref17","article-title":"Improving deep learning models via constraint-based domain knowledge: A brief survey","author":"Borghesi","year":"2020"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.4018\/JITR.2018100109"},{"key":"ref19","first-page":"5502","article-title":"A semantic loss function for deep learning with symbolic knowledge","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Xu","year":"2018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/NETSOFT.2018.8460129"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2000.832204"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2018.2874112"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CAMAD.2017.8031625"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8621955"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500735"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/5GWF.2018.8517075"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/SDS54264.2021.9732102"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737488"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3182768"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JCN.2019.000055"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3323679.3326521"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2019.2924471"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/VTCFall.2019.8891348"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3209582.3209606"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2018.07.015"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348104"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2022.109341"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3254903"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2019.2953061"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2010.08.008"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ISEEE.2017.8170657"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2018.00227"},{"key":"ref43","first-page":"25198","article-title":"Informed learning by wide neural networks: Convergence, generalization and sampling complexity","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yang","year":"2022"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01453-z"},{"key":"ref45","article-title":"Distilling the knowledge in a neural network","volume-title":"Proc. NIPS Deep Learn. Representation Learn. Workshop","author":"Hinton","year":"2015"},{"key":"ref46","first-page":"5142","article-title":"Towards understanding knowledge distillation","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","volume":"97","author":"Phuong","year":"2019"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/5GWF52925.2021.00059"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC51644.2023.10060203"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2957482"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.jco.2022.101696"},{"key":"ref51","article-title":"Log hyperbolic cosine loss improves variational auto-encoder","volume-title":"Proc. 6th Int. Conf. Learn. Representations","author":"Chen","year":"2018"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICIN.2019.8685844"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOMW.2018.8406867"},{"issue":"8","key":"ref54","article-title":"Stochastic gradient learning in neural networks","volume-title":"Proc. Neuro-Nmes","volume":"91","author":"Bottou","year":"1991"},{"key":"ref55","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"Abadi","year":"2015"},{"key":"ref56","article-title":"Telecommunications - SMS, call, internet - MI","year":"2015"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/10637911\/10466724.pdf?arnumber=10466724","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,16]],"date-time":"2024-08-16T19:44:12Z","timestamp":1723837452000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10466724\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":56,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2024.3373490","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8]]}}}