{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T00:12:57Z","timestamp":1758845577689,"version":"3.37.3"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2017R1A2B4008581"],"award-info":[{"award-number":["NRF-2017R1A2B4008581"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010418","name":"Institute for Information and communications Technology Promotion","doi-asserted-by":"publisher","award":["2017-0-00282"],"award-info":[{"award-number":["2017-0-00282"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Wireless Commun."],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1109\/twc.2019.2931570","type":"journal-article","created":{"date-parts":[[2019,8,5]],"date-time":"2019-08-05T19:39:31Z","timestamp":1565033971000},"page":"4983-4996","source":"Crossref","is-referenced-by-count":16,"title":["Adaptive Bandwidth Allocation Based on Sample Path Prediction With Gaussian Process Regression"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7817-3134","authenticated-orcid":false,"given":"Jeongseop","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7727-9028","authenticated-orcid":false,"given":"Ganguk","family":"Hwang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Gaussian Processes for Machine Learning","year":"2006","author":"rasmussen","key":"ref39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/65.967596"},{"key":"ref33","first-page":"1775","article-title":"Kernel interpolation for scalable structured Gaussian processes (KISS-GP)","author":"wilson","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390181"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/269790.269792"},{"key":"ref30","first-page":"1067","article-title":"Gaussian process kernels for pattern discovery and extrapolation","author":"wilson","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"journal-title":"The CAIDA UCSD Anonymized Internet Traces - 2018","year":"2018","key":"ref37"},{"key":"ref36","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CIRA.1997.613865"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.4236\/jilsa.2010.23018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1002\/047120644X"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.806645"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2009.662"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1049\/el.2018.0336"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2018.2841832"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065704001899"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28650-9_4"},{"key":"ref18","first-page":"1","article-title":"Gaussian processes&#x2014;A replacement for supervised neural networks?","author":"mackay","year":"1997","journal-title":"Proc NIPS"},{"key":"ref19","first-page":"545","article-title":"Gaussian process priors with uncertain inputs application to multiple-step ahead time series forecasting","author":"girard","year":"2003","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1239\/jap\/1032374642"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JCN.2012.6253092"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/90.282603"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2017.1600304WC"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JCN.2011.6157478"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/ett.4460130303"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JCN.2017.000083"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2537781"},{"key":"ref7","first-page":"1","article-title":"Predicting future traffic using hidden Markov models","author":"chen","year":"2016","journal-title":"Proc IEEE 24th Int Conf Netw Protocols (ICNP)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2016.7422401"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2003.1223839"},{"journal-title":"Data Age 2025 The Evolution of Data to Life-Critical","year":"0","author":"reinsel","key":"ref1"},{"key":"ref20","first-page":"2788","article-title":"Asynchronous distributed variational Gaussian process for regression","author":"peng","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/637201.637207"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/9780470515099"},{"journal-title":"Stochastic Geometry Spatial Statistics and Random Fields","year":"2014","author":"schmidt","key":"ref42"},{"journal-title":"Performance Guarantees in Communication Networks","year":"2012","author":"chang","key":"ref24"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/BF01158964"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2003.1208689"},{"key":"ref26","first-page":"1","article-title":"MS-LSTM: A multi-scale LSTM model for BGP anomaly detection","author":"cheng","year":"2016","journal-title":"Proc IEEE 24th Int Conf Netw Protocols (ICNP)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-7152(99)00011-5"}],"container-title":["IEEE Transactions on Wireless Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7693\/8863562\/08788461.pdf?arnumber=8788461","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:08:31Z","timestamp":1657746511000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8788461\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":42,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/twc.2019.2931570","relation":{},"ISSN":["1536-1276","1558-2248"],"issn-type":[{"type":"print","value":"1536-1276"},{"type":"electronic","value":"1558-2248"}],"subject":[],"published":{"date-parts":[[2019,10]]}}}