{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T07:56:31Z","timestamp":1747209391445,"version":"3.40.5"},"reference-count":0,"publisher":"National Library of Serbia","issue":"3","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Serb J Electr Eng","SERBIAN J ELECT ENG"],"published-print":{"date-parts":[[2021]]},"abstract":"<jats:p>Operators of modern mobile networks are faced with significant challenges in\n   providing the requested level of service to an ever increasing number of\n   user entities. Advanced machine learning techniques based on deep\n   architectures and appropriate learning methods are recognized as promising\n   ways of tackling the said challenges in many aspects of mobile networks,\n   such as mobile data and mobility analysis, network control, network security\n   and signal processing. Having firstly presented the background of deep\n   learning and related technologies, the paper goes on to present the\n   architectures used for deployment of deep learning in mobile networks. The\n   paper continues with an overview of applications and services related to the\n   new generation of mobile networks that employ deep learning methods.\n   Finally, the paper presents practical use case of modulation classification\n   as implementation of deep learning in an application essential for modern\n   spectrum management. We complete this work by pinpointing future directions\n   for research.<\/jats:p>","DOI":"10.2298\/sjee2103397d","type":"journal-article","created":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T14:26:30Z","timestamp":1638195990000},"page":"397-426","source":"Crossref","is-referenced-by-count":0,"title":["Application of deep learning algorithms and architectures in the new generation of mobile networks"],"prefix":"10.2298","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5050-6331","authenticated-orcid":false,"given":"Dejan","family":"Dasic","sequence":"first","affiliation":[{"name":"Vlatacom Institute, Belgrade, Serbia + Singidunum University, Belgrade, Serbia + COPELABS, Universidade Lus\u00f3fona de Humanidades e Tecnologias, Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4362-6201","authenticated-orcid":false,"given":"Miljan","family":"Vucetic","sequence":"additional","affiliation":[{"name":"Vlatacom Institute, Belgrade, Serbia"}]},{"given":"Nemanja","family":"Ilic","sequence":"additional","affiliation":[{"name":"Vlatacom Institute, Belgrade, Serbia + College of Applied Technical Sciences, Kru\u0161evac, Serbia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9064-7059","authenticated-orcid":false,"given":"Milos","family":"Stankovic","sequence":"additional","affiliation":[{"name":"Vlatacom Institute, Belgrade, Serbia + Singidunum University, Belgrade, Serbia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7315-8739","authenticated-orcid":false,"given":"Marko","family":"Beko","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal"}]}],"member":"1078","container-title":["Serbian Journal of Electrical Engineering"],"original-title":[],"language":"en","deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T10:10:48Z","timestamp":1685355048000},"score":1,"resource":{"primary":{"URL":"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=1451-48692103397D"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021]]}},"URL":"https:\/\/doi.org\/10.2298\/sjee2103397d","relation":{},"ISSN":["1451-4869","2217-7183"],"issn-type":[{"type":"print","value":"1451-4869"},{"type":"electronic","value":"2217-7183"}],"subject":[],"published":{"date-parts":[[2021]]}}}