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

Zompakis, N; Papanikolaou, A; Praveen, R; Soudris, D; Catthoor, F

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	https://dspace.lib.ntua.gr/xmlui/handle/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