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Enabling efficient system configurations for dynamic wireless baseband engines using system scenarios

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dc.contributor.author Zompakis, N en
dc.contributor.author Papanikolaou, A en
dc.contributor.author Praveen, R en
dc.contributor.author Soudris, D en
dc.contributor.author Catthoor, F en
dc.date.accessioned 2014-03-01T02:53:15Z
dc.date.available 2014-03-01T02:53:15Z
dc.date.issued 2011 en
dc.identifier.uri http://hdl.handle.net/123456789/36195
dc.subject baseband engines en
dc.subject system scenarios en
dc.subject timing slack en
dc.subject wireless communication en
dc.subject.other Accurate prediction en
dc.subject.other Base bands en
dc.subject.other Cost estimations en
dc.subject.other Efficient systems en
dc.subject.other Execution time en
dc.subject.other Mobile wireless en
dc.subject.other New design en
dc.subject.other Runtimes en
dc.subject.other System behaviors en
dc.subject.other System resources en
dc.subject.other system scenarios en
dc.subject.other System tuning en
dc.subject.other Timing slack en
dc.subject.other wireless communication en
dc.subject.other Wireless communications en
dc.subject.other Worst case en
dc.subject.other Wireless networks en
dc.subject.other Wireless telecommunication systems en
dc.subject.other Signal detection en
dc.title Enabling efficient system configurations for dynamic wireless baseband engines using system scenarios en
heal.type conferenceItem en
heal.identifier.primary 10.1109/SiPS.2011.6088994 en
heal.identifier.secondary http://dx.doi.org/10.1109/SiPS.2011.6088994 en
heal.identifier.secondary 6088994 en
heal.publicationDate 2011 en
heal.abstract Next generation mobile wireless systems (4G) support a wide range of communication protocols and services opening new design challenges. The desired flexibility requires an effective utilization of system resources. In this paper, we introduce the concept of system scenarios in wireless communication baseband engines. The scenario methodology classifies the system behavior from a cost perspective and provides the necessary information for an effective system tuning. Apart from the case study, we propose improvements at the detection of the scenarios at run time achieving a better tradeoff between cost estimation accuracy and detection overhead. From our case study, a representative example the WLAN communication protocol, we can demonstrate the accurate prediction of the execution time of each packet, which on average is 90% shorter than the worst case, allowing us to use the remaining time for the optimization of specifications like power consumption. © 2011 IEEE. en
heal.journalName 2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings en
dc.identifier.doi 10.1109/SiPS.2011.6088994 en
dc.identifier.spage 305 en
dc.identifier.epage 310 en


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