{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T06:26:59Z","timestamp":1747117619690},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,3,15]],"date-time":"2019-03-15T00:00:00Z","timestamp":1552608000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"National Science and Technology Major Project","award":["Major Project: No. 2018ZX03001029-004."],"award-info":[{"award-number":["Major Project: No. 2018ZX03001029-004."]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Wireless Com Network"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1186\/s13638-019-1392-6","type":"journal-article","created":{"date-parts":[[2019,3,15]],"date-time":"2019-03-15T16:06:01Z","timestamp":1552665961000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["A new method for traffic forecasting in urban wireless communication network"],"prefix":"10.1186","volume":"2019","author":[{"given":"Kaisa","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Gang","family":"Chuai","sequence":"additional","affiliation":[]},{"given":"Weidong","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Xuewen","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Saidiwaerdi","family":"Maimaiti","sequence":"additional","affiliation":[]},{"given":"Zhiwei","family":"Si","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,15]]},"reference":[{"key":"1392_CR1","unstructured":"Z. Wang, S. Zhang, in 2016 IEEE 14th Intl Conf on Dependable, Autonomic & Secure Computing, 14th Intl Conf on Pervasive Intelligence & Computing, 2nd Intl Conf on Big Data Intelligence & Computing & Cyber Science & Technology Congress (DASC\/PiCom\/DataCom\/CyberSciTech). CDR based temporal-spatial analysis of anomalous mobile users. p. 710\u2013714 (2016). \n                    https:\/\/ieeexplore.ieee.org\/document\/7588924\n                    \n                  ."},{"key":"1392_CR2","unstructured":"S.C. Nair, M.S. Elayidom, S. Gopalan, 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS). Impact of CDR Data Analysis Using Big Data Technologies for the Public: an Analysis. p. 1\u20136 (2017). \n                    https:\/\/ieeexplore.ieee.org\/document\/8014651\n                    \n                  ."},{"issue":"2","key":"1392_CR3","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1109\/TBDATA.2016.2631141","volume":"3","author":"S Jiang","year":"2017","unstructured":"S. Jiang, J. Ferreira, M.C. Gonzalez, Activity-based human mobility patterns inferred from mobile phone data: a case study of Singapore. IEEE Trans. Big Data 3(2), 208\u2013219 (2017).","journal-title":"IEEE Trans. Big Data"},{"issue":"7","key":"1392_CR4","doi-asserted-by":"publisher","first-page":"1759","DOI":"10.1109\/TSP.2015.2500893","volume":"64","author":"E Siggiridou","year":"2016","unstructured":"E. Siggiridou, D. Kugiumtzis, Granger causality in multivariate time series using a time-ordered restricted vector autoregressive model[J]. IEEE Trans. Signal Process. 64(7), 1759\u20131773 (2016).","journal-title":"IEEE Trans. Signal Process."},{"issue":"5","key":"1392_CR5","first-page":"1639","volume":"49","author":"C Hiemstra","year":"1994","unstructured":"C. Hiemstra, J. Jones, Testing for linear and nonlinear Granger causality in the stock price-volume relation. J. Financ. 49(5), 1639 (1994).","journal-title":"J. Financ."},{"key":"1392_CR6","unstructured":"A.C. Lozano, H. Li, in Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France. Spatial-temporal causal modeling for climate change attribution. (2009). \n                    https:\/\/www.researchgate.net\/publication\/221654446_Spatial-temporal_causal_modeling_for_climate_change_attribution\n                    \n                  ."},{"issue":"1","key":"1392_CR7","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/j.neuroimage.2004.11.017","volume":"25","author":"A Roebroeck","year":"2005","unstructured":"A. Roebroeck, E. Formisano, R. Goebel, Mapping directed influence over the brain using Granger causality and fMRI. Neuroimage 25(1), 230\u2013242 (2005).","journal-title":"Neuroimage"},{"key":"1392_CR8","doi-asserted-by":"crossref","unstructured":"Y. Chen, G. Rangarajan, J. Feng, M. Ding, Analyzing multiple nonlinear time series with extended Granger causality. Phys. Lett. A. 324(1), 26\u201335 (2004).","DOI":"10.1016\/j.physleta.2004.02.032"},{"key":"1392_CR9","unstructured":"Y.T. Tsai, Y.R. Zeng, Y.S. Chang, in 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC\/PiCom\/DataCom\/CyberSciTech). Air pollution forecasting using RNN with LSTM. P. 1074\u20131079 (2018). \n                    https:\/\/ieeexplore.ieee.org\/document\/8512020\n                    \n                  ."},{"key":"1392_CR10","unstructured":"C.W. Huang, C.T. Chiang, Q. Li, in 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). A study of deep learning networks on mobile traffic forecasting. p. 1\u20136 (2017). \n                    https:\/\/ieeexplore.ieee.org\/document\/8292737\n                    \n                  ."},{"key":"1392_CR11","doi-asserted-by":"crossref","unstructured":"E. Thuillier, L. Moalic, S. Lamrous, A. Caminada, Clustering weekly patterns of human mobility through mobile phone data. IEEE Trans. Mob. Comput. 17(4), 817\u2013830 (2018).","DOI":"10.1109\/TMC.2017.2742953"},{"key":"1392_CR12","unstructured":"(2014). [Online]. Available: \n                    https:\/\/dandelion.eu\n                    \n                  . Accessed Nov 2018."},{"key":"1392_CR13","doi-asserted-by":"crossref","unstructured":"J. Reades, F. Calabrese, A. Sevtsuk, C. Ratti, Cellular census: explorations in urban data collection. IEEE Pervasive Comput. 6(3), 30\u201338 (2007).","DOI":"10.1109\/MPRV.2007.53"},{"key":"1392_CR14","first-page":"28","volume":"1","author":"M Panda","year":"2011","unstructured":"M. Panda, S.P. Padhy, Traffic analysis and optimization of gsm network. IJSCI Int J Comput Sci Issues 1, 28\u201331 (2011).","journal-title":"IJSCI Int J Comput Sci Issues"},{"issue":"7","key":"1392_CR15","first-page":"1753","volume":"7","author":"X Zuo","year":"2012","unstructured":"X. Zuo, Y. Zhang, Detection and analysis of urban area hotspots based on cell phone traffic. JCP 7(7), 1753\u20131760 (2012).","journal-title":"JCP"},{"issue":"7","key":"1392_CR16","doi-asserted-by":"publisher","first-page":"1667","DOI":"10.4249\/scholarpedia.1667","volume":"2","author":"A Seth","year":"2007","unstructured":"A. Seth, Granger causality. Scholarpedia 2(7), 1667 (2007).","journal-title":"Scholarpedia"},{"key":"1392_CR17","doi-asserted-by":"publisher","first-page":"424","DOI":"10.2307\/1912791","volume":"37","author":"CWJ Granger","year":"1969","unstructured":"C.W.J. Granger, Econometrica 37, 424 (1969).","journal-title":"Econometrica"},{"key":"1392_CR18","doi-asserted-by":"crossref","unstructured":"F. Xue, G. Fang, X. Yue, E. Zhao, S. Brauth, Y. Tang, Resting-state brain networks revealed by Granger causal connectivity in frogs. Neuroscience, 334, 332\u2013340 (2016).","DOI":"10.1016\/j.neuroscience.2016.08.015"},{"issue":"1","key":"1392_CR19","doi-asserted-by":"publisher","first-page":"018701","DOI":"10.1103\/PhysRevLett.100.018701","volume":"100","author":"M Dhamala","year":"2008","unstructured":"M. Dhamala, G. Rangarajan, M. Ding, Estimating Granger causality from Fourier and wavelet transforms of time series data. Phys. Rev. Lett. 100(1), 018701 (2008).","journal-title":"Phys. Rev. Lett."},{"key":"1392_CR20","unstructured":"D. Yang, H. Chen, Y. Song, Z. Gong, in 2017 IEEE International Conference on Big Knowledge (ICBK). Granger causality for multivariate time series classification. p. 103\u2013110 (2017). \n                    https:\/\/ieeexplore.ieee.org\/document\/8023401\/\n                    \n                  ."},{"key":"1392_CR21","doi-asserted-by":"crossref","unstructured":"Z. Cao, Y. Zhu, Z. Sun, M. Wang, Y. Zheng, P. Xiong, J. Hou, L. Tian, Improving Prediction Accuracy in LSTM Network Model for Aircraft Testing Flight Data. p. 7\u201312. (IEEE International Conference on Smart Cloud (SmartCloud), 2018). \n                    https:\/\/ieeexplore.ieee.org\/document\/8513708\n                    \n                  .","DOI":"10.1109\/SmartCloud.2018.00010"},{"key":"1392_CR22","volume-title":"Research on Failure Prediction Using DBN and LSTM Neural Network. 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","author":"Y Gu","year":"2018","unstructured":"Y. Gu, S. Liu, L. He, L. Wang, Research on Failure Prediction Using DBN and LSTM Neural Network. 2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) (2018)."},{"key":"1392_CR23","volume-title":"Federated Conference Computer Science Information Systems","author":"P Vidnerov\u00e1","year":"2017","unstructured":"P. Vidnerov\u00e1, R. Neruda, in Federated Conference Computer Science Information Systems. Evolving KERAS architectures for sensor data analysis (2017)."},{"key":"1392_CR24","volume-title":"International Conference on Trends in Electronics and Informatics ICEI","author":"C Thirumalai","year":"2017","unstructured":"C. Thirumalai, C. Raju, G. Saikrishna, M. Senthilkumar, in International Conference on Trends in Electronics and Informatics ICEI. Analysis of global warming in India over maximum temperature using Pearson and Machine learning (2017)."},{"key":"1392_CR25","volume-title":"Multivariate Time Series Analysis and Its Applications[M]\/\/ Analysis of Financial Time Series, Second Edition","author":"RS Tsay","year":"2000","unstructured":"R.S. Tsay, Multivariate Time Series Analysis and Its Applications[M]\/\/ Analysis of Financial Time Series, Second Edition (2000)."}],"container-title":["EURASIP Journal on Wireless Communications and Networking"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-019-1392-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13638-019-1392-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-019-1392-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,14]],"date-time":"2020-03-14T00:05:14Z","timestamp":1584144314000},"score":1,"resource":{"primary":{"URL":"https:\/\/jwcn-eurasipjournals.springeropen.com\/articles\/10.1186\/s13638-019-1392-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,15]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["1392"],"URL":"https:\/\/doi.org\/10.1186\/s13638-019-1392-6","relation":{},"ISSN":["1687-1499"],"issn-type":[{"value":"1687-1499","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,15]]},"assertion":[{"value":"2 January 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 March 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 March 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Kaisa Zhang received the B.Sc. degree in communication engineering from Hebei University of Science and Technology in 2014. He received MEng degree in communication engineering from the University of York in 2016. He is currently working towards the Ph.D. degree in information and communications engineering, Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications Beijing, China; His main studying area is big data analysis and processing, self-optimizing and machine learning in communication network.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Authors\u2019 information"}},{"value":"The authors declare that they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"66"}}