{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T22:22:29Z","timestamp":1743027749165,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319920153"},{"type":"electronic","value":"9783319920160"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-92016-0_9","type":"book-chapter","created":{"date-parts":[[2018,5,21]],"date-time":"2018-05-21T13:54:16Z","timestamp":1526910856000},"page":"89-98","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Space\/Time Traffic Fluctuations in a Cellular Network: Measurements\u2019 Analysis and Potential Applications"],"prefix":"10.1007","author":[{"given":"Juan","family":"S\u00e1nchez-Gonz\u00e1lez","sequence":"first","affiliation":[]},{"given":"Oriol","family":"Sallent","sequence":"additional","affiliation":[]},{"given":"Jordi","family":"P\u00e9rez-Romero","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,5,22]]},"reference":[{"key":"9_CR1","unstructured":"Cisco Visual Networking Index: Forecast and Methodology, 2016\u20132021, White Paper, June 2017"},{"key":"9_CR2","volume-title":"Self-Organizing Networks: Self-Planning, Self-Optimization and Self-Healing for GSM, UMTS and LTE","author":"J Ramiro","year":"2012","unstructured":"Ramiro, J., Hamied, K.: Self-Organizing Networks: Self-Planning, Self-Optimization and Self-Healing for GSM, UMTS and LTE. Wiley, Hoboken (2012)"},{"key":"9_CR3","doi-asserted-by":"publisher","first-page":"3068","DOI":"10.1109\/ACCESS.2015.2469737","volume":"3","author":"Y Liu","year":"2015","unstructured":"Liu, Y., Han, S., Wang, S., Liu, G.: On big data analytics for greener and softer RAN. IEEE Access 3, 3068\u20133075 (2015)","journal-title":"IEEE Access"},{"key":"9_CR4","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1109\/MNET.2014.6963801","volume":"28","author":"A Imran","year":"2014","unstructured":"Imran, A., Zoha, A., Abu-Dayya, A.: Challenges in 5G: how to empower SON with big data for enabling 5G. IEEE Netw. 28, 27\u201333 (2014)","journal-title":"IEEE Netw."},{"key":"9_CR5","doi-asserted-by":"crossref","unstructured":"P\u00e9rez-Romero, J., Sallent, O., Ferr\u00fas, R., Agust\u00ed, R.: Artificial intelligence-based 5G network capacity planning and operation. In: International Symposium on Wireless Communication Systems (ISWCS 2015), Brussels, Belgium, August 2015","DOI":"10.1109\/ISWCS.2015.7454338"},{"issue":"7","key":"9_CR6","doi-asserted-by":"publisher","first-page":"1369","DOI":"10.1109\/TMC.2014.2350981","volume":"14","author":"M Zubair","year":"2015","unstructured":"Zubair, M., Ji, L., Liu, A.X., Pang, J., Wang, J.: Geospatial and temporal dynamics of application usage in cellular data networks. IEEE Trans. Mob. Comput. 14(7), 1369\u20131381 (2015)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Ma, J., Ni, W., Yin, J., Lin, S., Cui, H., Liu, R.P., Fang, B.X.: Modelling social characteristics of mobile radio networks. In: International Conference on Communications (ICC 2015), London, United Kingdom, June 2015","DOI":"10.1109\/ICCW.2015.7247404"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Miao, D., Sun, W., Qin, X., Wang, W.: MSFS: multiple spatio-temporal scales traffic forecasting in mobile cellular network. In: 14th International Conference on Pervasive Intelligence and Computing, Auckland, New Zealand, August 2016","DOI":"10.1109\/DASC-PICom-DataCom-CyberSciTec.2016.137"},{"issue":"5","key":"9_CR9","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1109\/TSC.2016.2599878","volume":"9","author":"F Xiu","year":"2016","unstructured":"Xiu, F., Lin, Y., Huang, J., Wu, D., Shi, H., Song, J., Li, Y.: Big data drive mobile traffic understanding and forecasting: a time series approach. IEEE Trans. Serv. Comput. 9(5), 796\u2013805 (2016)","journal-title":"IEEE Trans. Serv. Comput."},{"issue":"1","key":"9_CR10","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/MWC.2014.6757900","volume":"21","author":"D Lee","year":"2014","unstructured":"Lee, D., Zhou, S., Zhong, X., Niu, Z.: Spatial modeling of the traffic density in cellular networks. IEEE Wirel. Commun. 21(1), 80\u201388 (2014)","journal-title":"IEEE Wirel. Commun."},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Wang, S., Zhang, X., Zhang, J., Feng, J., Wang, W., Xin, K.: An approach for spatial-temporal traffic modeling in mobile cellular networks. In: International Teletraffic Congress (ITC), Ghent, Belgium, September 2015","DOI":"10.1109\/ITC.2015.31"},{"issue":"6","key":"9_CR12","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1109\/MCOM.2014.6829969","volume":"52","author":"R Li","year":"2014","unstructured":"Li, R., Zhao, Z., Zhou, X., Palicot, J., Zhang, H.: The prediction analysis of cellular radio access network traffic: from entropy theory to networking practice. IEEE Commun. Mag. 52(6), 234\u2013240 (2014)","journal-title":"IEEE Commun. Mag."},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Hammami, S.E., Afifi, H., Marot, M., Gauthier, V.: Network planning tool based on network classification and load prediction. In: IEEE Wireless Communications and Networking Conference (WCNC 2016), Doha, Qatar, April 2016","DOI":"10.1109\/WCNC.2016.7565166"},{"key":"9_CR14","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/978-3-319-41920-6_40","volume-title":"Machine Learning and Data Mining in Pattern Recognition","author":"J P\u00e9rez-Romero","year":"2016","unstructured":"P\u00e9rez-Romero, J., S\u00e1nchez-Gonz\u00e1lez, J., Sallent, O., Agust\u00ed, R.: On learning and exploiting time domain traffic patterns in cellular radio access networks. Machine Learning and Data Mining in Pattern Recognition. LNCS (LNAI), vol. 9729, pp. 501\u2013515. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-41920-6_40"},{"issue":"2","key":"9_CR15","doi-asserted-by":"publisher","first-page":"1173","DOI":"10.1109\/TWC.2017.2776916","volume":"17","author":"J Kim","year":"2017","unstructured":"Kim, J., Lee, H.W., Chong, S.: Traffic-aware energy-saving base station sleeping and clustering in cooperative networks. IEEE Trans. Wirel. Commun. 17(2), 1173\u20131186 (2017)","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"1","key":"9_CR16","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1109\/SURV.2012.021312.00116","volume":"15","author":"OG Aliu","year":"2013","unstructured":"Aliu, O.G., Imran, A., Imran, M.A., Evans, B.: A survey of self organisation in future cellular networks. IEEE Commun. Surv. Tutor. 15(1), 336\u2013361 (2013)","journal-title":"IEEE Commun. Surv. Tutor."}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-92016-0_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,21]],"date-time":"2022-05-21T00:04:13Z","timestamp":1653091453000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-92016-0_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319920153","9783319920160"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-92016-0_9","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"22 May 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Artificial Intelligence Applications and Innovations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rhodes","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 May 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 May 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/easyconferences.eu\/aiai2018\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}