Show simple item record

dc.contributor.advisorArıkan, Orhan
dc.contributor.authorTütüncüoğlu, Feridun
dc.date.accessioned2020-01-03T06:39:23Z
dc.date.available2020-01-03T06:39:23Z
dc.date.copyright2019-12
dc.date.issued2020-01
dc.date.submitted2020-01-02
dc.identifier.urihttp://hdl.handle.net/11693/52777
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (Master's): Bilkent University, Department of Electrical and Electronics Engineering, İhsan Doğramacı Bilkent University, 2019.en_US
dc.descriptionIncludes bibliographical references (leaves 34-37).en_US
dc.description.abstractIn LTE/5G systems, the random access channel (RACH) process occurs during the boot-up phase. As channel state information is not available at this stage, detecting several devices with high performance presents a challenging problem. In particular, servicing many devices simultaneously can get difficult when a large number of user equipment and machines exist in the network. The problem can become more dramatic as the number of user equipment increases around the world. In the literature, power delay profile (PDP) is proposed as a decision metric for this problem. The use of this metric handles many cases with satisfactory performance and low complexity; however, it does not lead to optimal detection performance. In this thesis, we address this issue with a generalized likelihood ratio test (GLRT) based approach and propose detectors with high detection performance. We also derive an ideal detector that provides an upper bound on the detection probability. Via extensive RACH simulations, it is shown that improvements in detection performance can be achieved by the proposed approach in various scenarios.en_US
dc.description.statementofresponsibilitybyen_US
dc.description.statementofresponsibilityby Feridun Tütüncüoğluen_US
dc.format.extentix, 40 leaves : charts (some color) ; 30 cm.en_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject5Gen_US
dc.subjectDetectionen_US
dc.subjectGLRTen_US
dc.subjectRACHen_US
dc.subjectZadoff-Chu sequenceen_US
dc.titleZone based GLRT for detecting physical random access channel signals in 5Gen_US
dc.title.alternative5G’de fiziksel rastgele erişim kanal sinyalleri için bölge bazlı GLRTen_US
dc.typeThesisen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidB108183


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record