Show simple item record

dc.contributor.authorMehrpouyan, Hanien
dc.date2010-07-29 16:52:50.272
dc.date.accessioned2012-09-17T22:07:37Z
dc.date.available2012-09-17T22:07:37Z
dc.date.issued2012-09-17
dc.identifier.urihttp://hdl.handle.net/1974/7475
dc.descriptionThesis (Ph.D, Electrical & Computer Engineering) -- Queen's University, 2010-07-29 16:52:50.272en
dc.description.abstractTo date the majority of research in the area of cooperative communications focuses on maximizing throughput and reliability while assuming perfect channel state information (CSI) and synchronization. This thesis, seeks to address performance enhancement and system parameter estimation in cooperative networks while relaxing these idealized assumptions. In Chapter 3 the thesis mainly focuses on training-based channel estimation in multi-relay cooperative networks. Channel estimators that are capable of determining the overall channel gains from source to destination antennas are derived. Next, a new low feedback and low complexity scheme is proposed that allows for the coherent combining of signals from multiple relays. Numerical and simulation results show that the combination of the proposed channel estimators and optimization algorithm result in significant performance gains. As communication systems are greatly affected by synchronization parameters, in Chapter 4 the thesis quantitatively analyzes the effects of timing and frequency offset on the performance of communications systems. The modified Cramer-Rao lower bound (MCRLB) undergoing functional transformation, is derived and applied to determine lower bounds on the estimation of signal pulse amplitude and signal-to-noise ratio (SNR) due to timing offset and frequency offset, respectively. In addition, it is shown that estimation of timing and frequency offset can be decoupled in most practical settings. The distributed nature of cooperative relay networks may result in multiple timing and frequency offsets. Chapters 5 and 6 address multiple timing and frequency offset estimation using periodically inserted training sequences in cooperative networks with maximum frequency reuse, i.e., space-division multiple access (SDMA) networks. New closed-form expressions for the Cramer-Rao lower bound (CRLB) for multiple timing and multiple frequency offset estimation for different cooperative protocols are derived. The CRLBs are then applied in a novel way to formulate training sequence design guidelines and determine the effect of network protocol and topology on synchronization parameter estimation. Next, computationally efficient estimators are proposed. Numerical results show that the proposed estimators outperform existing algorithms and reach or approach the CRLB at mid-to-high SNR. When applied to system compensation, simulation results show that application of the proposed estimators allow for synchronized cooperation amongst the nodes within the network.en
dc.language.isoengen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectSynchronizationen
dc.subjectcooperative communicationsen
dc.subjecttiming offseten
dc.subjectfrequency offseten
dc.subjectchannel estimationen
dc.subjectCramer-Rao Lower Bounden
dc.subjectcapacity optimizationen
dc.subjectModified Cramer-Rao Lower Bounden
dc.subjectCRLBen
dc.subjectMCRLBen
dc.subjectparameter estimationen
dc.titleEstimation and Effects of Imperfect System Parameters on the Performance of Multi-Relay Cooperative Communications Systemsen
dc.typethesisen
dc.description.restricted-thesisI would like to restrict access to this thesis since some of the material available here is not published yet and, therefore, should not be available for viewing.en
dc.description.degreePhDen
dc.contributor.supervisorBlostein, Steven D.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.degree.grantorQueen's University at Kingstonen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record