Fundamentals of distributed transmission in wireless networks : a transmission-capacity perspective

dc.contributor.advisorAndrews, Jeffrey G.en
dc.contributor.committeeMemberShakkottai, Sanjayen
dc.contributor.committeeMemberArapostathis, Arien
dc.contributor.committeeMemberMorton, Daviden
dc.contributor.committeeMemberVishwanath, Sriramen
dc.creatorLiu, Chun-Hungen
dc.date.accessioned2011-06-01T17:37:39Zen
dc.date.available2011-06-01T17:37:39Zen
dc.date.available2011-06-01T17:37:53Zen
dc.date.issued2011-05en
dc.date.submittedMay 2011en
dc.date.updated2011-06-01T17:37:54Zen
dc.descriptiontexten
dc.description.abstractInterference is a defining feature of a wireless network. How to optimally deal with it is one of the most critical and least understood aspects of decentralized multiuser communication. This dissertation focuses on distributed transmission strategies that a transmitter can follow to achieve reliability while reducing the impact of interference. The problem is investigated from three directions : distributed opportunistic scheduling, multicast outage and transmission capacity, and ergodic transmission capacity, which study distributed transmission in different scenarios from a transmission-capacity perspective. Transmission capacity is spatial throughput metric in a large-scale wireless network with outage constraints. To understand the fundamental limits of distributed transmission, these three directions are investigated from the underlying tradeoffs in different transmission scenarios. All analytic results regarding the three directions are rigorously derived and proved under the framework of transmission capacity. For the first direction, three distributed opportunistic scheduling schemes -- distributed channel-aware, interferer-aware and interferer-channel-aware scheduling are proposed. The main idea of the three schemes is to avoid transmitting in a deep fading and/or sever interfering context. Theoretical analysis and simulations show that the three schemes are able to achieve high transmission capacity and reliability. The second direction focuses on the study of the transmission capacity problem in a distributed multicast transmission scenario. Multicast transmission, wherein the same packet must be delivered to multiple receivers, has several distinctive traits as opposed to more commonly studied unicast transmission. The general expression for the scaling law of multicast transmission capacity is found and it can provide some insight on how to do distributed single-hop and multi-hop retransmissions. In the third direction, the transmission capacity problem is investigated for Markovain fading channels with temporal and spatial ergodicity. The scaling law of the ergodic transmission capacity is derived and it can indicate a long-term distributed transmission and interference management policy for enhancing transmission capacity.en
dc.description.departmentElectrical and Computer Engineeringen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2011-05-3008en
dc.language.isoengen
dc.subjectWireless communicationsen
dc.subjectInformation theoryen
dc.subjectStochastic geometryen
dc.subjectSchedulingen
dc.subjectWireless networksen
dc.subjectWireless ad hoc networksen
dc.subjectDistributed transmissionen
dc.subjectComputer schedulingen
dc.subjectTransmission capacityen
dc.titleFundamentals of distributed transmission in wireless networks : a transmission-capacity perspectiveen
dc.type.genrethesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen

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