完整後設資料紀錄
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dc.contributor.authorLee, Wei-Hsunen_US
dc.contributor.authorTseng, Shian-Shyongen_US
dc.contributor.authorWang, Ching-Hungen_US
dc.contributor.authorTung, Shen-Lungen_US
dc.date.accessioned2014-12-08T15:07:57Z-
dc.date.available2014-12-08T15:07:57Z-
dc.date.issued2010en_US
dc.identifier.issn0169-2968en_US
dc.identifier.urihttp://hdl.handle.net/11536/6260-
dc.identifier.urihttp://dx.doi.org/10.3233/FI-2010-215en_US
dc.description.abstractLocating the radio signal coverage hole (SCH) and signal weak coverage area (SWCA) in the mobile network and taking appropriate actions to improve network quality are the major tasks for mobile network operators (MNO). A novel approach, Signal Coverage Hole and weak coverage Area DIscovering Model (SCHADIM), is proposed based on spatiotemporal data mining on the raw data collecting from location based service (LBS) to achieve this goal. It reuses the communication raw data in LBS-based applications and transforms it into mobile network communication quality monitoring information by integrating the GIS (geographical information system), road network database and mobile network base station database. By this way, the vehicles in the LBS-based applications can be regarded as the mobile network signal probing vehicles, which provides plentiful information for discovering the SCH/SWCA. Comparing to the traditionalmobile network signal probing vehicle method, which is known as radio site verification (RSV) method, the proposed SCHADIM has the spatiotemporal coverage as well as cost advantages. A mobile network monitoring system, cellular network quality safeguard (CQS), has been implemented based on the proposed model which combines with the domain expert heuristics to provide decision support information for optimizing the mobile network.en_US
dc.language.isoen_USen_US
dc.subjectSpatiotemporal data miningen_US
dc.subjectRadio signal coverage holeen_US
dc.subjectMobile network planningen_US
dc.subjectLocation-based service (LBS)en_US
dc.titleDiscovering the Radio Signal Coverage Hole and Weak Coverage Area in Mobile Network by Spatiotemporal Data Mining on Location-Based Servicesen_US
dc.typeArticleen_US
dc.identifier.doi10.3233/FI-2010-215en_US
dc.identifier.journalFUNDAMENTA INFORMATICAEen_US
dc.citation.volume98en_US
dc.citation.issue1en_US
dc.citation.spage33en_US
dc.citation.epage47en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000276350100004-
dc.citation.woscount0-
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