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Design and Performance Analysis of Next Generation Heterogeneous Cellular Networks for the Internet of Things

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dc.contributor.advisorNguyen, Uyen T.
dc.contributor.authorIbrahim, Hazem Mohamed Saad
dc.date.accessioned2020-05-11T12:53:10Z
dc.date.available2020-05-11T12:53:10Z
dc.date.copyright2019-11
dc.date.issued2020-05-11
dc.date.updated2020-05-11T12:53:10Z
dc.degree.disciplineComputer Science
dc.degree.levelDoctoral
dc.degree.namePhD - Doctor of Philosophy
dc.description.abstractThe Internet of Things (IoT) is a system of inter-connected computing devices, objects and mechanical and digital machines, and the communications between these devices/objects and other Internet-enabled systems. Scalable, reliable, and energy-efficient IoT connectivity will bring huge benefits to the society, especially in transportation, connected self-driving vehicles, healthcare, education, smart cities, and smart industries. The objective of this dissertation is to model and analyze the performance of large-scale heterogeneous two-tier IoT cellular networks, and offer design insights to maximize their performance. Using stochastic geometry, we develop realistic yet tractable models to study the performance of such networks. In particular, we propose solutions to the following research problems: -We propose a novel analytical model to estimate the mean uplink device data rate utility function under both spectrum allocation schemes, full spectrum reuse (FSR) and orthogonal spectrum partition (OSP), for uplink two-hop IoT networks. We develop constraint gradient ascent optimization algorithms to obtain the optimal aggregator association bias (for the FSR scheme) and the optimal joint spectrum partition ratio and optimal aggregator association bias (for the OSP scheme). -We study the performance of two-tier IoT cellular networks in which one tier operates in the traditional sub-6GHz spectrum and the other, in the millimeter wave (mm-wave) spectrum. In particular, we characterize the meta distributions of the downlink signal-to-interference ratio (sub-6GHz spectrum), the signal-to-noise ratio (mm-wave spectrum) and the data rate of a typical device in such a hybrid spectrum network. Finally, we characterize the meta distributions of the SIR/SNR and data rate of a typical device by substituting the cumulative moment of the CSP of a user device into the Gil-Pelaez inversion theorem. -We propose to split the control plane (C-plane) and user plane (U-plane) as a potential solution to harvest densification gain in heterogeneous two-tier networks while minimizing the handover rate and network control overhead. We develop a tractable mobility-aware model for a two-tier downlink cellular network with high density small cells and a C-plane/U-plane split architecture. The developed model is then used to quantify effect of mobility on the foreseen densification gain with and without C-plane/U-plane splitting.
dc.identifier.urihttps://hdl.handle.net/10315/37462
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectCommunication
dc.subject.keywords5G cellular networks
dc.subject.keywords6G cellular networks
dc.subject.keywordsInternet of Things
dc.subject.keywordsIoT
dc.subject.keywordsControl plane User plane splitting
dc.subject.keywords5G Cellular networks
dc.subject.keywordsMillimeter wave
dc.subject.keywordsMeta distribution
dc.subject.keywordsReliability
dc.subject.keywordsLatency
dc.subject.keywordsWireless backhaul
dc.subject.keywordsNakagami fading
dc.subject.keywordsStochastic geometry
dc.subject.keywordsMobility
dc.subject.keywordsC-plane/U-plane split
dc.subject.keywordsLean carrier
dc.subject.keywordsNetwork densification
dc.subject.keywordsPhantom cells
dc.subject.keywordsHandover
dc.subject.keywordsX2 interface handover
dc.subject.keywordsSmall cells
dc.subject.keywordsData aggregation
dc.subject.keywordsUplink data rate utility function
dc.subject.keywordsMulti tier cellular networks
dc.subject.keywordsMulti-tier heterogeneous cellular networks
dc.subject.keywordsHeterogeneous cellular networks
dc.subject.keywordsMacro base stations
dc.subject.keywordsSmall base stations
dc.subject.keywordsPower control
dc.subject.keywordsUplink communications
dc.subject.keywordsTwo-tier heterogeneous cellular networks
dc.subject.keywordsTwo-tier cellular networks
dc.subject.keywordsNext generation cellular networks
dc.subject.keywordsNext generation heterogeneous cellular networks
dc.titleDesign and Performance Analysis of Next Generation Heterogeneous Cellular Networks for the Internet of Things
dc.typeElectronic Thesis or Dissertation

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