{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T14:16:14Z","timestamp":1761401774710,"version":"3.41.0"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2015,5,19]],"date-time":"2015-05-19T00:00:00Z","timestamp":1431993600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Pers Commun"],"published-print":{"date-parts":[[2016,4]]},"DOI":"10.1007\/s11277-015-2631-8","type":"journal-article","created":{"date-parts":[[2015,5,18]],"date-time":"2015-05-18T05:28:57Z","timestamp":1431926937000},"page":"815-835","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Long-Term Spectrum Monitoring with Big Data Analysis and Machine Learning for Cloud-Based Radio Access Networks"],"prefix":"10.1007","volume":"87","author":[{"given":"Pavel","family":"Baltiiski","sequence":"first","affiliation":[]},{"given":"Ilia","family":"Iliev","sequence":"additional","affiliation":[]},{"given":"Boian","family":"Kehaiov","sequence":"additional","affiliation":[]},{"given":"Vladimir","family":"Poulkov","sequence":"additional","affiliation":[]},{"given":"Todor","family":"Cooklev","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,5,19]]},"reference":[{"key":"2631_CR1","doi-asserted-by":"crossref","unstructured":"Xue, J., Feng, Z., & Chen, K. (2013). Beijing spectrum survey for cognitive radio applications. In 2013 IEEE vehicular technology conference (VTC Fall ), pp. 15, September 2013.","DOI":"10.1109\/VTCFall.2013.6692114"},{"key":"2631_CR2","doi-asserted-by":"crossref","unstructured":"Valenta, V., Mar\u0161\u00e1ek, R., Baudoin, G., Villegas, M., Suarez, & M., Robert, F. (2010). Survey on spectrum utilization in Europe: Measurements, analyses and observations. In Proceedings of the international conference on cognitive radio oriented wireless networks communications (CROWNCOM), pp. 1\u20135, June 2010.","DOI":"10.4108\/ICST.CROWNCOM2010.9220"},{"key":"2631_CR3","doi-asserted-by":"crossref","unstructured":"Patil, K., Prasad, R., & Skouby, K (2011). A survey of worldwide spectrum occupancy measurement campaigns for cognitive radio. In International conference on devices and communications (ICDeCom), pp. 1\u20135, February 2011.","DOI":"10.1109\/ICDECOM.2011.5738472"},{"key":"2631_CR4","unstructured":"Iyer, A., Chintalapudi, K., Navda, V., Ramjee, R., Padmanabhan, V. N., & Murthy, C. R. ( 2011). Specnet: Spectrum sensing sans frontieres. In 8th USENIX symposium networked systems design and implementation (NSDI), April 2011."},{"key":"2631_CR5","doi-asserted-by":"crossref","unstructured":"Delaere S., Ballon, P. (2007) Flexible spectrum management and the need for controlling entities for reconfigurable wireless systems. In DySPAN 2007, 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 17\u201320 April 2007. Dublin, Ireland.","DOI":"10.1109\/DYSPAN.2007.53"},{"key":"2631_CR6","unstructured":"Spectrum monitoring pilot program, notice of inquiry. (Online). http:\/\/www.ntia.doc.gov\/federal-registernotice\/2013\/spectrum-monitoring-pilot-program and http:\/\/www.ntia.doc.gov\/federal-register-notice\/2013\/ ."},{"key":"2631_CR7","unstructured":"Fette, B. (Ed.) (2006). Cognitive radio technology. San Diego, CA : Elsevier."},{"key":"2631_CR8","doi-asserted-by":"crossref","unstructured":"Bouali, F., Sallent, O., Perez-Romero, J., & Agusti, R. (2013) Exploiting knowledge management for supporting multi-band spectrum selection in non-stationary environments. IEEE Transactions on Wireless Communications, 12(12), 6228\u20136243.","DOI":"10.1109\/TWC.2013.101713.130165"},{"key":"2631_CR9","doi-asserted-by":"crossref","unstructured":"Muraoka, K., Sugahara, H., & Ariyoshi, M. (2011). Monitoring-based spectrum management for expanding opportunities of white space utilization. In IEEE international symposium on dynamic spectrum access (DySpan), pp. 277\u2013284.","DOI":"10.1109\/DYSPAN.2011.5936216"},{"key":"2631_CR10","doi-asserted-by":"crossref","unstructured":"Jabbari, B., Pickholtz, R., & Norton, M. (2010). Dynamic spectrum access and management. In IEEE wireless communications, pp. 6\u201315, August 2010.","DOI":"10.1109\/MWC.2010.5547916"},{"key":"2631_CR11","doi-asserted-by":"crossref","unstructured":"Attar, A., & Aghvami, A. H. (2007). A framework for unified spectrum management (USM) in heterogeneous wireless networks. In IEEE communications magazine, pp. 44\u201351, September 2007.","DOI":"10.1109\/MCOM.2007.4342855"},{"issue":"3","key":"2631_CR12","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1109\/MSP.2007.361604","volume":"4","author":"Q. Zhao","year":"2007","unstructured":"Zhao, Q., & Sadler B. M. (2007). A survey of dynamic spectrum access: Signal processing, networking, and regulatory policy. IEEE Signal Processing Magazine, 4(3), 79\u201389.","journal-title":"IEEE Signal Processing Magazine"},{"key":"2631_CR13","unstructured":"Weidling, F., Datla, D., Petty, V., Krishnan, P., & Minden, G. (2005). A framework for RF spectrum measurements and analysis. In Proceedings of IEEE international symposium on new frontiers in dynamic spectrum access networks, vol. 1, Baltimore, Maryland, USA, pp. 573\u2013576, November 2005."},{"key":"2631_CR14","doi-asserted-by":"crossref","unstructured":"Gomez-Miguelez, I., Marojevic, & V., Gelonch, A. (2013). Deployment and management of SDR cloud computing resources: problem definition and fundamental limits. EURASIP Journal on Wireless Communications and Networking, 2013(1), 1\u201311.","DOI":"10.1186\/1687-1499-2013-59"},{"key":"2631_CR15","unstructured":"European Commission. (2011). Radio spectrum policy: Flexibility, the key to competition and innovation, November 22, 2011, http:\/\/ec.europa.eu\/ ."},{"key":"2631_CR16","doi-asserted-by":"crossref","unstructured":"Webb, M., Li, Z., Bucknell, P., Moulsley, T., & Vadgama, S. (2012). Future evolution in wireless network architectures: Towards a \u2018cloud of antennas\u2019. In Proceedings of IEEE vehicular technology fall conference, September 2012.","DOI":"10.1109\/VTCFall.2012.6399319"},{"key":"2631_CR17","doi-asserted-by":"crossref","unstructured":"Nagothu, K., Kelley, B., Sekchin, C., & Jamshidi, M. (2012). Cloud systems architecture for metropolitan area based cognitive radio networks. In Proceedings of IEEE international systems conference, March 2012.","DOI":"10.1109\/SysCon.2012.6189496"},{"key":"2631_CR18","doi-asserted-by":"crossref","unstructured":"Harada, H., (2009). Cognitive wireless cloud : A network concept to handle heterogeneous and spectrum sharing type radio access networks. In Proceedings of IEEE international symposium on personal, indoor and mobile radio communications.","DOI":"10.1109\/PIMRC.2009.5449961"},{"key":"2631_CR19","unstructured":"Feng, G. et al. (2010). Cognitive radio rides on the cloud. In Proceedings IEEE MILCOM, October\u2013November 2010."},{"key":"2631_CR20","doi-asserted-by":"crossref","unstructured":"Olivieri, M.P., Barnett, G., Lackpour, A., & Davis, A.. (2005). A scalable dynamic spectrum allocation system with interference mitigation for teams of spectrally agile software defined radios. In Proceedings IEEE international symposium on new frontiers in dynamic spectrum access networks, Baltimore, Maryland, USA, pp. 170\u2013179, November 2005.","DOI":"10.1109\/DYSPAN.2005.1542632"},{"key":"2631_CR21","unstructured":"http:\/\/hadoop.apache.org ."},{"key":"2631_CR22","unstructured":"http:\/\/www.ibm.com\/developerworks\/library\/os-twitterstorm\/ ."},{"key":"2631_CR23","unstructured":"http:\/\/storm.incubator.apache.org\/ ."},{"key":"2631_CR24","unstructured":"http:\/\/jabatus.us ."},{"key":"2631_CR25","unstructured":"http:\/\/spark.apache.com ."},{"key":"2631_CR26","unstructured":"Sparks, E., & Talwalkar, A. (2013-08-06). Spark meetup: MLbase, distributed machine learning with Spark. Slideshare.net. Spark User Meetup, San Francisco, California. Retrieved 10, February 2014."},{"key":"2631_CR27","doi-asserted-by":"crossref","unstructured":"Oda, S., Uenishi, K., & Kinoshita, S. (2012). Jubatus: Scalable distributed processing framework for realtime analysis of big data. NTT Technical Review, 10(6), 1\u20139.","DOI":"10.53829\/ntr201206ra2"},{"key":"2631_CR28","unstructured":"http:\/\/www.mathworks.com\/machine-learning\/ ."}],"container-title":["Wireless Personal Communications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-015-2631-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11277-015-2631-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-015-2631-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T00:44:53Z","timestamp":1748393093000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11277-015-2631-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,19]]},"references-count":28,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2016,4]]}},"alternative-id":["2631"],"URL":"https:\/\/doi.org\/10.1007\/s11277-015-2631-8","relation":{},"ISSN":["0929-6212","1572-834X"],"issn-type":[{"type":"print","value":"0929-6212"},{"type":"electronic","value":"1572-834X"}],"subject":[],"published":{"date-parts":[[2015,5,19]]}}}