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dc.contributor.authorChung, Wen-Chingen_US
dc.contributor.authorChang, Chung-Juen_US
dc.contributor.authorWang, Li-Chunen_US
dc.date.accessioned2017-04-21T06:55:45Z-
dc.date.available2017-04-21T06:55:45Z-
dc.date.issued2012-06en_US
dc.identifier.issn2162-2337en_US
dc.identifier.urihttp://dx.doi.org/10.1109/WCL.2012.033012.120146en_US
dc.identifier.urihttp://hdl.handle.net/11536/133698-
dc.description.abstractIn this paper, we propose an intelligent priority resource allocation (iPRA) scheme for long term evolution-advanced (LTE-A) downlink systems with multimedia traffic. The iPRA scheme intelligently computes priorities for users by using fuzzy inference system so as to enhance system throughput and attain high Jain fairness index while guarantee QoS requirements. Simulation results show that the iPRA scheme can achieve higher system throughput and better QoS requirement guarantee than conventional radio resource allocation schemes in high traffic load, while attains a rather large Jain fairness index.en_US
dc.language.isoen_USen_US
dc.subjectResource allocationen_US
dc.subjectfuzzy inferenceen_US
dc.subjectLTE-Aen_US
dc.subjectOFDMAen_US
dc.subjectMIMOen_US
dc.subjectQoSen_US
dc.subjectfairnessen_US
dc.titleAn Intelligent Priority Resource Allocation Scheme for LTE-A Downlink Systemsen_US
dc.identifier.doi10.1109/WCL.2012.033012.120146en_US
dc.identifier.journalIEEE WIRELESS COMMUNICATIONS LETTERSen_US
dc.citation.volume1en_US
dc.citation.issue3en_US
dc.citation.spage241en_US
dc.citation.epage244en_US
dc.contributor.department電機學院zh_TW
dc.contributor.departmentCollege of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000209696100025en_US
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