Full metadata record
DC FieldValueLanguage
dc.contributor.authorWu, Dan-Chenen_US
dc.contributor.authorHo, Ping-Fanen_US
dc.contributor.authorChen, Jyh-Chengen_US
dc.contributor.authorYang, Jen-Shunen_US
dc.contributor.authorChang, Hsien-Wenen_US
dc.date.accessioned2017-04-21T06:49:22Z-
dc.date.available2017-04-21T06:49:22Z-
dc.date.issued2016en_US
dc.identifier.isbn978-1-5090-2073-7en_US
dc.identifier.urihttp://hdl.handle.net/11536/134559-
dc.description.abstractWhen communicating at high-speed environment such as high-speed rail, the signals may encounter fast fading due to the terrain changes. In such communication environment, signal prediction can help improve the system throughput and reduce packet loss. In this paper, we propose a prediction mechanism called Window Weight Moving Average (WWMA) to predict the signal strength. We also analyze the real WiMAX signal data collected from Taiwan High Speed Rail (THSR). The analytical results will facilitate the migration from WiMAX to LTE.en_US
dc.language.isoen_USen_US
dc.titleSignal Measurement and Prediction of WiMAX Basestations on Taiwan High Speed Railen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW)en_US
dc.citation.spage117en_US
dc.citation.epage118en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000392265400059en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper