Show simple item record

FieldValueLanguage
dc.contributor.authorMuhammad, Nor Aishah
dc.date.accessioned2019-02-04
dc.date.available2019-02-04
dc.date.issued2018-10-30
dc.identifier.urihttp://hdl.handle.net/2123/19933
dc.description.abstractFuture cellular networks will use millimeter wave (MMW) spectrum to enable extremely high data rates. Although this spectrum offers numerous significant performance improvements in wireless networks, MMW frequencies also have unique propagation characteristics and hardware constraints, which require revisiting the prior channel modeling and system design. In this thesis, we develop a geometry-based stochastic channel model to characterize the effect of the first-order reflection paths. We consider random locations, sizes and orientations of buildings and derive a closed-form expression for the power delay profile contributed by the first-order reflection paths. We show that wireless networks can benefit from buildings in the communication area, as the external building surfaces render reflection paths whose signal powers are comparable to that of the direct path. Dense base station (BS) deployments are required to overcome the signal losses due to blockages, which unfortunately introduce additional interference at the receiver. We propose a BS coordination scheme to improve the user performance in the dense MMW cellular networks. We derive expressions for the signal-to-interference and noise ratio (SINR) coverage probability and area spectral efficiency (ASE) by incorporating the peculiarity characteristics of MMW communications. Our results show a significant improvement in performance in terms of SINR coverage probability and ASE. In this thesis, we also investigate the uplink performance of the MMW cellular networks. We model the locations of users as of a Poisson cluster process and develop an analytical expression to evaluate the SINR coverage probability. We study the performances of a typical BS for two association strategies, i.e., the closest-selection (CS) and the strongest-selection (SS). Our results show that regarding SINR coverage probability, the SS strategy outperforms the CS strategy in the environment with dense blockages.en_AU
dc.publisherUniversity of Sydneyen_AU
dc.publisherFaculty of Engineering and Information Technologiesen_AU
dc.publisherSchool of Electrical and Information Engineeringen_AU
dc.rightsThe author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission.en_AU
dc.subjectmillimeter wave communicationsen_AU
dc.subjectstochastic geometryen_AU
dc.subject5G cellular networksen_AU
dc.subjectpower delay profileen_AU
dc.subjectwireless channel modelingen_AU
dc.subjectperformance analysisen_AU
dc.titleMillimeter Wave Outdoor Cellular Networks: Stochastic Geometry Channel Modeling And Performance Analysisen_AU
dc.typePhD Doctorateen_AU
dc.type.pubtypeDoctor of Philosophy Ph.D.en_AU


Show simple item record

Associated file/s

Associated collections

Show simple item record

There are no previous versions of the item available.