{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T22:04:28Z","timestamp":1778537068201,"version":"3.51.4"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030728014","type":"print"},{"value":"9783030728021","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-72802-1_13","type":"book-chapter","created":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T02:06:50Z","timestamp":1617847610000},"page":"176-194","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Spectrum Sensing and Prediction for 5G Radio"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3471-0516","authenticated-orcid":false,"given":"Ma\u0142gorzata","family":"Wasilewska","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1709-4862","authenticated-orcid":false,"given":"Hanna","family":"Bogucka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6766-7836","authenticated-orcid":false,"given":"Adrian","family":"Kliks","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,4,9]]},"reference":[{"key":"13_CR1","unstructured":"3GPP technical specification group services and system aspects. https:\/\/www.3gpp.org\/release-15"},{"key":"13_CR2","unstructured":"5G vision: the next generation of communication networks and services (2015). https:\/\/5g-ppp.eu\/wp-content\/uploads\/2015\/02\/5G-Vision-Brochure-v1.pdf"},{"key":"13_CR3","unstructured":"The Ericsson mobility report, June 2020. https:\/\/www.ericsson.com\/49da93\/assets\/local\/mobility-report\/documents\/2020\/june2020-ericsson-mobility-report.pdf"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Alom, M.Z., Godder, T.K., Morshed, M.N., Maali, A.: Enhanced spectrum sensing based on energy detection in cognitive radio network using adaptive threshold. In: 2017 International Conference on Networking, Systems and Security (NSysS), pp. 138\u2013143 (2017)","DOI":"10.1109\/NSysS.2017.7885815"},{"key":"13_CR5","volume-title":"Pattern Recognition and Machine Learning","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, Heidelberg (2006)"},{"issue":"1","key":"13_CR6","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.csl.2014.09.005","volume":"30","author":"W De Mulder","year":"2015","unstructured":"De Mulder, W., Bethard, S., Moens, M.F.: A survey on the application of recurrent neural networks to statistical language modeling. Comput. Speech Lang. 30(1), 61\u201398 (2015)","journal-title":"Comput. Speech Lang."},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Ahmad, W.S.H.M.W., et al.: 5G technology: towards dynamic spectrum sharing using cognitive radio networks. IEEE Access 8, 14460\u201314488 (2020)","DOI":"10.1109\/ACCESS.2020.2966271"},{"key":"13_CR8","volume-title":"Deep Learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016)"},{"issue":"8","key":"13_CR9","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Joshi, M., Borde, S.D.: Comprehensive analysis of various energy detection parameters in spectrum sensing for cognitive radio systems. In: 2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014), pp. 1\u20134 (2014)","DOI":"10.1109\/EIC.2015.7230695"},{"issue":"3","key":"13_CR11","doi-asserted-by":"publisher","first-page":"3005","DOI":"10.1109\/TVT.2019.2891291","volume":"68","author":"W Lee","year":"2019","unstructured":"Lee, W., Kim, M., Cho, D.: Deep cooperative sensing: cooperative spectrum sensing based on convolutional neural networks. IEEE Trans. Veh. Technol. 68(3), 3005\u20133009 (2019)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"13_CR12","doi-asserted-by":"crossref","unstructured":"Liu, H., Zhu, X., Fujii, T.: Ensemble deep learning based cooperative spectrum sensing with semi-soft stacking fusion center. In: 2019 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1\u20136 (2019)","DOI":"10.1109\/WCNC.2019.8885866"},{"key":"13_CR13","unstructured":"Latva-aho, M., et al.: Key drivers and research challenges for 6G ubiquitous wireless intelligence. 6G Research Visions 1 (2019)"},{"issue":"12","key":"13_CR14","doi-asserted-by":"publisher","first-page":"3410","DOI":"10.1109\/TCOMM.2011.102011.100708","volume":"59","author":"A Mariani","year":"2011","unstructured":"Mariani, A., Giorgetti, A., Chiani, M.: Effects of noise power estimation on energy detection for cognitive radio applications. IEEE Trans. Commun. 59(12), 3410\u20133420 (2011)","journal-title":"IEEE Trans. Commun."},{"key":"13_CR15","unstructured":"Ribas, A.O.P., Dias, U.S.: On the double threshold energy detection-based spectrum sensing over $$\\kappa $$-$$\\mu $$ fading channel. In: 2015 IEEE Radio and Wireless Symposium (RWS), pp. 82\u201385 (2015)"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Omotere, O., Fuller, J., Qian, L., Han, Z.: Spectrum occupancy prediction in coexisting wireless systems using deep learning. In: 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), pp. 1\u20137 (2018)","DOI":"10.1109\/VTCFall.2018.8690575"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Qin, Z., Yu, F., Liu, C., Chen, X.: How convolutional neural network see the world-a survey of convolutional neural network visualization methods. arXiv preprint arXiv:1804.11191 (2018)","DOI":"10.3934\/mfc.2018008"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Roy, D., Mukherjee, T., Chatterjee, M., Pasiliao, E.: Primary user activity prediction in DSA networks using recurrent structures. In: 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), pp. 1\u201310 (2019)","DOI":"10.1109\/DySPAN.2019.8935716"},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Shawel, B.S., Woldegebreal, D.H., Pollin, S.: Convolutional LSTM-based long-term spectrum prediction for dynamic spectrum access. In: 2019 27th European Signal Processing Conference (EUSIPCO), pp. 1\u20135 (2019)","DOI":"10.23919\/EUSIPCO.2019.8902956"},{"key":"13_CR20","volume-title":"Optimization for Machine Learning","author":"S Sra","year":"2012","unstructured":"Sra, S., Nowozin, S., Wright, S.J.: Optimization for Machine Learning. MIT Press, Cambridge (2012)"},{"issue":"2","key":"13_CR21","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1109\/TCCN.2020.2973572","volume":"6","author":"L Yu","year":"2020","unstructured":"Yu, L., et al.: Spectrum availability prediction for cognitive radio communications: a DCG approach. IEEE Trans. Cogn. Commun. Netw. 6(2), 476\u2013485 (2020)","journal-title":"IEEE Trans. Cogn. Commun. Netw."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Big Data Technologies and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-72802-1_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,25]],"date-time":"2021-04-25T01:40:55Z","timestamp":1619314855000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-72802-1_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030728014","9783030728021"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-72802-1_13","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"value":"1867-8211","type":"print"},{"value":"1867-822X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 April 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WiCON","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Wireless Internet Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wicon2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/wicon.eai-conferences.org\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy +","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"28% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"https:\/\/wicon.eai-conferences.org\/2020\/","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}