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dc.contributor.authorHsieh, YLen_US
dc.contributor.authorChang, CJen_US
dc.contributor.authorChen, YSen_US
dc.date.accessioned2014-12-08T15:26:18Z-
dc.date.available2014-12-08T15:26:18Z-
dc.date.issued2003en_US
dc.identifier.isbn0-7803-7802-4en_US
dc.identifier.urihttp://hdl.handle.net/11536/18686-
dc.description.abstractIn this paper, a link gain prediction-based power control scheme is designed for DS-CDMA cellular mobile systems. The link gain prediction can help to remove the interference of the power control adjustment itself. The pipeline recurrent neural network (PRNN) with extended recursive least square (ERLS) is adopted for the prediction. This PRNN/ERLS predictor possesses infinite memory of past signals so that it can capture precisely the signal correlation and improve the delay compensation of power control. Simulation results show that the link gain prediction-based power control scheme using PRNN/ERLS has lower outage probability than the received SIR prediction-based power control scheme using grey prediction method [5] and improves the system capacity by an amount of 41.6%.en_US
dc.language.isoen_USen_US
dc.subjectpower controlen_US
dc.subjectPRNN/ERLSen_US
dc.titleA power control scheme with link gain prediction using PRNN/ERLS for DS-CDMA cellular mobile systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2003 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5: NEW FRONTIERS IN TELECOMMUNICATIONSen_US
dc.citation.spage407en_US
dc.citation.epage411en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000183802400078-
Appears in Collections:Conferences Paper