Show simple item record

dc.contributor.advisorAlouini, Mohamed-Slim
dc.contributor.authorGaaloul, Fakhreddine
dc.date.accessioned2012-05-21T11:48:55Z
dc.date.available2012-05-21T11:48:55Z
dc.date.issued2012-05
dc.identifier.citationGaaloul, F. (2012). Performance Analysis of Switching Based Techniques for Wireless Applications. KAUST Research Repository. https://doi.org/10.25781/KAUST-29B01
dc.identifier.doi10.25781/KAUST-29B01
dc.identifier.urihttp://hdl.handle.net/10754/224977
dc.description.abstractSwitching techniques have been first proposed as a spacial diversity techniques. These techniques have been shown to reduce considerably the processing load while letting multi-antenna systems achieve a specific target performance. In this thesis, we take a different look at the switching schemes by implementing them for different other wireless applications. More specifically, this thesis consists of three main parts, where the first part considers a multiuser environment and an adaptive scheduling algorithm based on the switching with post-selection scheme for statistically independent but non-identically distributed channel conditions. The performance of this switched based scheduler is investigated and a multitude of performance metrics are presented. In a second part, we propose and analyze the performance of three switched-based algorithms for interference reduction in the downlink of over-loaded femtocells. For instance, performance metrics are derived in closed-form and these metrics are used to compare these three proposed schemes. Finally in a third part, a switch based opportunistic channel access scheme is proposed for a cognitive radio system and its performance is analyzed in terms of two new proposed metrics namely the average cognitive radio access and the waiting time duration.
dc.language.isoen
dc.titlePerformance Analysis of Switching Based Techniques for Wireless Applications
dc.typeThesis
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
thesis.degree.grantorKing Abdullah University of Science and Technology
dc.contributor.committeememberRadaydeh, Redha M.
dc.contributor.committeememberShihada, Basem
dc.contributor.committeememberSultan Salem, Ahmed Kamal
thesis.degree.disciplineElectrical Engineering
thesis.degree.nameMaster of Science


Files in this item

Thumbnail
Name:
Fakhreddine Gaaloul_FinalThesis.pdf
Size:
1.008Mb
Format:
PDF
Description:
PDF file

This item appears in the following Collection(s)

Show simple item record