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dc.contributor.advisorHou, I-Hong
dc.contributor.advisorShakkottai, Srinivas
dc.creatorLin, Victor Hamilton
dc.date.accessioned2019-01-23T17:28:14Z
dc.date.available2019-01-23T17:28:14Z
dc.date.created2018-12
dc.date.issued2018-12-03
dc.date.submittedDecember 2018
dc.identifier.urihttps://hdl.handle.net/1969.1/174375
dc.description.abstractSoftware-defined Radio (SDR) platforms are popular tools to implement custom wireless network algorithms and architectures designs now-days. One of the most popular SDR platforms being used is the National Instrument USRP. In addition to having powerful hardware for supporting various physical layer (PHY) protocols, the software is no less significant for its flexibility to implement custom MAC layer algorithms. When presenting various Wi-Fi experimental results based on the platform, often time we are asked "What about WARP"? WARP is a wireless development platform developed by Mango Communications, integrating a high performance field programmable grid array (FPGA) from Xilinx, two flexible RF interfaces, and multiple peripherals to facilitate rapid prototyping of custom wireless designs. In the past, we’ve been focusing only on the USRP for prototyping, but WARP could be a potential candidate to outperform USRP under certain requirements. PULS[1] presented a new scheduling experiment that executed on the USRP with realistic packet arrival characteristics. The goal of this thesis is to perform a comprehensive comparison between the WARP and USRP platforms based on the PULSE architecture. On the other hand, we want to investigate the advantages and disadvantages of WARP compared to USRP under various requirements. From the experimental result, we see that PULS can be successfully implemented on the WARP platform, the throughput performance of PULS on the WARP platform is 146% of the USRP platform.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectMAC Schedulingen
dc.subjectUltra-low latencyen
dc.subjectSoftware Defined Radioen
dc.subjectWARPen
dc.titlePULS on WARP Platform - Detailed Investigation of Real-Time Scheduling Performanceen
dc.typeThesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineComputer Engineeringen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberBettati, Riccardo
dc.type.materialtexten
dc.date.updated2019-01-23T17:28:14Z
local.etdauthor.orcid0000-0002-1298-3062


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