Coordination and Interference in 802.11 Networks: Inference, Analysis and Mitigation

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dc.contributor.advisorKnightly, Edward W.en_US
dc.contributor.advisorGurewitz, Omeren_US
dc.contributor.committeeMemberJohnson, David B.en_US
dc.contributor.committeeMemberSabharwal, Ashutoshen_US
dc.creatorMagistretti, Eugenioen_US
dc.date.accessioned2013-09-16T15:54:15Zen_US
dc.date.accessioned2013-09-16T15:54:19Zen_US
dc.date.available2013-09-16T15:54:15Zen_US
dc.date.available2013-09-16T15:54:19Zen_US
dc.date.created2013-05en_US
dc.date.issued2013-09-16en_US
dc.date.submittedMay 2013en_US
dc.date.updated2013-09-16T15:54:20Zen_US
dc.description.abstractIn the last decade, 802.11 wireless devices data-rates have increased by three orders of magnitude, while communications experiencing low throughput are still largely present. Such throughput loss is a fundamental problem of wireless networking that is difficult to diagnose and amend. My research addresses two key causes of throughput loss: MAC layer protocol overhead and destructive link interference. First, I design WiFi-Nano reducing the channel access overhead by an order of magnitude leveraging an innovative speculative technique to transmit preambles. This new concept is based on simultaneous preamble transmission and detection via a self-interference cancellation design, and paves the way to the realization of the collision detection paradigm in wireless networks. Next, I propose 802.11ec (Encoded Control), the first 802.11-based protocol that eliminates the overhead of control packets. Instead, 802.11ec coordinates node transmissions via a set of predefined pseudo-noise codewords, resulting in the dramatic increase of throughput and communication robustness. Finally, I design MIDAS, a model-driven network management tool that alleviates low throughput wireless links identifying key corrective actions. MIDAS' key contribution is to reveal the fundamental role of node transmission coordination in characterizing destructive interference. I implement WiFi-Nano, 802.11ec, and MIDAS using a combination of WARP FPGA-based radio boards, custom emulation platforms, and network simulators. The results obtained show that WiFi-Nano increases the network throughput by up to 100%, 802.11ec improves network access fairness by up to 90%, and MIDAS identifies corrective actions with a prediction error as low as 20%.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationMagistretti, Eugenio. "Coordination and Interference in 802.11 Networks: Inference, Analysis and Mitigation." (2013) Diss., Rice University. <a href="https://hdl.handle.net/1911/71994">https://hdl.handle.net/1911/71994</a>.en_US
dc.identifier.slug123456789/ETD-2013-05-394en_US
dc.identifier.urihttps://hdl.handle.net/1911/71994en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectWireless local area networksen_US
dc.subject802.11en_US
dc.subjectSignal correlationen_US
dc.subjectChannel accessen_US
dc.subjectCollision avoidanceen_US
dc.subjectSlot durationen_US
dc.subjectInterferenceen_US
dc.subjectCoordinationen_US
dc.subjectInferenceen_US
dc.subjectWireless networksen_US
dc.titleCoordination and Interference in 802.11 Networks: Inference, Analysis and Mitigationen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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