Cross-layer performance analysis of resource allocation mechanisms in emerging wireless networks
department or school: Applied Science, Faculty of
department or school: Engineering, School of (Okanagan)
data provider: DSpace
degree campus: UBCO
creator: Alorainy, Abdulaziz
issued: 2017-08-10T19:17:18Z
issued: 2017
related degree: Doctor of Philosophy - PhD
degree grantor: University of British Columbia
description: Due to rapidly increasing contribution of information and communication technology (ICT) industry to global energy consumption and increasing popularity of wireless communications, it is essential to further improve energy efficiency, cellular coverage, and network capacity of emerging wireless networks. Moreover, these improvements must be achieved in a cost-efficient manner. Various solutions are being considered to address these issues and some of these solutions have already been deployed. Examples of these solutions include small cell networks (SCNs), cell sleeping, and carrier aggregation (CA). Different services transmitted over wireless networks have different quality of service (QoS) requirements in terms of delay constraint and packet loss probability (PLP). In order to maintain these QoS requirements, resource allocation mechanisms of radio resources such as power and bandwidth play an important role. More importantly, analytical models, which enable the system designer to compare data link layer QoS performance measures of different resource allocation mechanisms and to determine various design parameters, are highly desirable. In this thesis, we mainly focus on development of analytical models via cross-layer design approach. In particular, we develop queuing analytical models that capture various aspects of emerging wireless networks. These models assist the system designer to gauge data link layer QoS performance measures beforehand for various operating and system parameters. As such QoS requirements of user equipments (UEs) can be ensured by tuning/selecting design parameters.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/62553
note: CrossBavyzr ezrformvnxz Anvlysis ofgzsourxz Alloxvtion bzxhvnisms inEmzrging lirzlzss cztworksbyAbdulaziz AlorainyA THESIS SUBMITTED IN PARTIAL FULFILLMENT OFTHE REQUIREMENTS FOR THE DEGREE OFDOCTOR OF PHILOSOPHYinTHE COLLEGE OF GRADUATE STUDIES(Electrical Engineering)THE UNIVERSITY OF BRITISH COLUMBIA(Okanagan)August 2017c© Abdulaziz Alorainy, 2017The undersigned certify that they have read, and recommend to the College of GraduateStudies for acceptance, a thesis entitled: Cebff-Lalee Ceefbemaace Aaallfif bfEefbhece Allbcagiba Mechaaifmf ia Emeegiag Wieeleff Aegwbekf submittedby AbWhlamim Albeaial in partial fulfilment of the requirements of the degree of Doctorof PhilosophyJahangir Hossain, School of EngineeringSupervisorJulian Cheng, School of EngineeringSupervisory Committee MemberJonathan Holzman, School of EngineeringSupervisory Committee MemberLong Le, University of QuebecExternal Examiner, ProfessorAugust 08, 2017(Date Submitted to Grad Studies)iiAwstrvxtDue to rapidly increasing contribution of information and communication technology(ICT) industry to global energy consumption and increasing popularity of wireless commu-nications, it is essential to further improve energy efficiency, cellular coverage, and networkcapacity of emerging wireless networks. Moreover, these improvements must be achieved ina cost-efficient manner. Various solutions are being considered to address these issues andsome of these solutions have already been deployed. Examples of these solutions includesmall cell networks (SCNs), cell sleeping, and carrier aggregation (CA). Different servicestransmitted over wireless networks have different quality of service (QoS) requirements interms of delay constraint and packet loss probability (PLP). In order to maintain theseQoS requirements, resource allocation mechanisms of radio resources such as power andbandwidth play an important role. More importantly, analytical models, which enable thesystem designer to compare data link layer QoS perfo…
has type: Thesis/Dissertation
date issued: 2017-09
is shown at: 10.14288/1.0353178
language: eng
degree discipline: Electrical Engineering
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/62553