Feedback Reduction in Broadcast and two Hop Multiuser Networks: A Compressed Sensing Approach

Handle URI:
http://hdl.handle.net/10754/292820
Title:
Feedback Reduction in Broadcast and two Hop Multiuser Networks: A Compressed Sensing Approach
Authors:
Shibli, Hussain J.
Abstract:
In multiuser wireless networks, the base stations (BSs) rely on the channel state information (CSI) of the users to in order to perform user scheduling and downlink transmission. While the downlink channels can be easily estimated at all user terminals via a single broadcast, several key challenges are faced during uplink (feedback) transmission. Firstly, the noisy and fading feedback channels are usually unknown at the base station, and therefore, channel training is usually required from all users. Secondly, the amount of air-time required for feedback transmission grows linearly with the number of users. This domination of the network resources by feedback information leads to increased scheduling delay and outdated CSI at the BS. In this thesis, we tackle the above challenges and propose feedback reduction algorithms based on the theory of compressive sensing (CS). The proposed algorithms encompass both single and dual hop wireless networks, and; i) permit the BS to obtain CSI with acceptable recovery guarantees under substantially reduced feedback overhead, ii) are agnostic to the statistics of the feedback channels, and iii) utilize the apriori statistics of the additive noise to identify strong users. Numerical results show that the proposed algorithms are able to reduce the feedback overhead, improve detection at the BS, and achieve a sum-rate close to that obtained by noiseless dedicated feedback algorithms.
Advisors:
AlNaffouri, Tareq Y.
Committee Member:
Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Shihada, Basem ( 0000-0003-4434-4334 )
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Program:
Electrical Engineering
Issue Date:
21-May-2013
Type:
Thesis
Appears in Collections:
Theses; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.advisorAlNaffouri, Tareq Y.en
dc.contributor.authorShibli, Hussain J.en
dc.date.accessioned2013-05-26T11:50:41Z-
dc.date.available2013-05-26T11:50:41Z-
dc.date.issued2013-05-21en
dc.identifier.urihttp://hdl.handle.net/10754/292820en
dc.description.abstractIn multiuser wireless networks, the base stations (BSs) rely on the channel state information (CSI) of the users to in order to perform user scheduling and downlink transmission. While the downlink channels can be easily estimated at all user terminals via a single broadcast, several key challenges are faced during uplink (feedback) transmission. Firstly, the noisy and fading feedback channels are usually unknown at the base station, and therefore, channel training is usually required from all users. Secondly, the amount of air-time required for feedback transmission grows linearly with the number of users. This domination of the network resources by feedback information leads to increased scheduling delay and outdated CSI at the BS. In this thesis, we tackle the above challenges and propose feedback reduction algorithms based on the theory of compressive sensing (CS). The proposed algorithms encompass both single and dual hop wireless networks, and; i) permit the BS to obtain CSI with acceptable recovery guarantees under substantially reduced feedback overhead, ii) are agnostic to the statistics of the feedback channels, and iii) utilize the apriori statistics of the additive noise to identify strong users. Numerical results show that the proposed algorithms are able to reduce the feedback overhead, improve detection at the BS, and achieve a sum-rate close to that obtained by noiseless dedicated feedback algorithms.en
dc.language.isoenen
dc.subjectFeedbacken
dc.subjectRelaysen
dc.subjectBroadcasten
dc.subjectTwo hopen
dc.subjectCompressed Sensingen
dc.subjectBayesianen
dc.titleFeedback Reduction in Broadcast and two Hop Multiuser Networks: A Compressed Sensing Approachen
dc.typeThesisen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
thesis.degree.grantorKing Abdullah University of Science and Technologyen_GB
dc.contributor.committeememberAlouini, Mohamed-Slimen
dc.contributor.committeememberShihada, Basemen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.nameMaster of Scienceen
dc.person.id119017en
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.