{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T05:32:38Z","timestamp":1783575158894,"version":"3.55.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1718956"],"award-info":[{"award-number":["1718956"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008982","name":"Qatar National Research Fund","doi-asserted-by":"publisher","award":["NPRP12-S 0311-190302"],"award-info":[{"award-number":["NPRP12-S 0311-190302"]}],"id":[{"id":"10.13039\/100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/tvt.2022.3157802","type":"journal-article","created":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T21:41:50Z","timestamp":1646775710000},"page":"6158-6172","source":"Crossref","is-referenced-by-count":35,"title":["A Data-Driven Framework for Inter-Frequency Handover Failure Prediction and Mitigation"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9067-9146","authenticated-orcid":false,"given":"Marvin","family":"Manalastas","sequence":"first","affiliation":[{"name":"AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Norman, OK 73019, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8034-6965","authenticated-orcid":false,"given":"Muhammad Umar Bin","family":"Farooq","sequence":"additional","affiliation":[{"name":"AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Norman, OK 73019, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9879-9655","authenticated-orcid":false,"given":"Syed Muhammad Asad","family":"Zaidi","sequence":"additional","affiliation":[{"name":"AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Norman, OK 73019, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5163-9731","authenticated-orcid":false,"given":"Adnan","family":"Abu-Dayya","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Qatar University, Doha, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0564-6356","authenticated-orcid":false,"given":"Ali","family":"Imran","sequence":"additional","affiliation":[{"name":"AI4Networks Research Center, School of Electrical and Computer Engineering, The University of Oklahoma, Norman, OK 73019, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-72395-2_5"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007735"},{"key":"ref33","first-page":"549","article-title":"Using Bayesian networks to create synthetic data","volume":"25","author":"young","year":"2009","journal-title":"J Official Statist"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2991959"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05195-2_39"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/11538059_91"},{"key":"ref36","article-title":"Modeling tabular data using conditional GAN","author":"xu","year":"0","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2016.49"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054142"},{"key":"ref10","article-title":"3GPP, “Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Self-configuring and self-optimizing network (SON) use cases and solutions","year":"2011"},{"key":"ref40","first-page":"214","article-title":"Wasserstein generative adversarial networks","author":"arjovsky","year":"0","journal-title":"Proc Int Conf Mach Learn PMLR"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2017.00-58"},{"key":"ref12","first-page":"757","article-title":"A novel handoff decision algorithm in TD-LTE based train-ground communication system","author":"shu","year":"0","journal-title":"Proc IEEE Int Conf Intell Transp Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CC.2018.8398506"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2949954"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2013.2247778"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2711582"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC48107.2020.9148194"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MicroCom.2016.7522429"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2011.6139784"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903130"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/VETECF.2009.5378909"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2727878"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2018.1700294"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348101"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3067503"},{"key":"ref5","year":"2011","journal-title":"Enhancing LTE Cell-edge Performance Via PDCCH ICIC"},{"key":"ref8","first-page":"1","article-title":"Machine learning aided holistic handover optimization for emerging networks","author":"farooq","year":"0","journal-title":"Proc IEEE Int Conf Commun"},{"key":"ref7","article-title":"Data driven optimization of inter-frequency mobility parameters for emerging networks","author":"farooq","year":"2021"},{"key":"ref2","first-page":"183505","article-title":"Mobility management in 5G and beyond: A survey and outlook","volume":"8","author":"muhammad","year":"2020","journal-title":"IEEE Access"},{"key":"ref9","article-title":"Realistic modeling of handover events in a multi-carrier 5G network: A preliminary step towards COP-KPI relationship realization","author":"manalastas","year":"2020"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2014.6963801"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC45663.2020.9120465"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2014.6975840"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/NOMS.2016.7502901"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-4754(00)00270-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/COMNET.2018.8622167"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1186\/s12874-020-00977-1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICTC.2014.6983264"},{"key":"ref26","article-title":"Technical specification group radio access network; NR; NR and NG-RAN overall description; stage 2","year":"0"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICUFN.2018.8436964"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/25\/9805757\/9730050-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/9805757\/09730050.pdf?arnumber=9730050","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T20:37:02Z","timestamp":1658176622000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9730050\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":42,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2022.3157802","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6]]}}}