M.Sc.(Eng.), Faculty of Engineering and the Built Environment, 2011 / The main objective of seamless mobility is to enable mobile users to stay connected while roaming across heterogeneous networks. As cellular networks evolve from the third generation Universal Mobile Telecommunication System (UMTS) to the Long Term Evolution (LTE), a new Evolved Packet Core (EPC) will support heterogeneous radio access networks on the same platform. UMTS provides voice services in the circuit switched domain; while LTE operates in the packet switched domain. Cellular network operators thus face the challenge of providing voice services during initial deployment of LTE due to difficulty in mobility between the two domains. Seamless voice handover between packet switched LTE and the circuit switched UMTS network is therefore an important tool in solving this problem. This report investigates the performance of inter-Radio Access Technology voice handover between LTE and UMTS. The schemes evaluated were Voice Call Continuity (VCC) for UMTS to LTE handover and Single Radio Voice Call Continuity (SRVCC) for LTE to UMTS handover. The performance evaluation was done using mathematical models and equations that were derived for the handover service interruption time. The resulting equations were simulated and the output was analysed and compared with the Third Generation Partnership Project (3GPP) specifications.

by Kwan Lawrence Yeung. / Thesis (Ph.D.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 115-[118]). / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Cellular Concept --- p.1 / Chapter 1.2 --- Fixed Channel Assignment --- p.2 / Chapter 1.3 --- Dynamic Channel Assignment --- p.2 / Chapter 1.4 --- Performance Evaluation of DC A --- p.3 / Chapter 1.5 --- Han doff Analysis --- p.3 / Chapter 1.6 --- Mobile Location Tracking Strategies --- p.3 / Chapter 1.7 --- QOS Measure --- p.4 / Chapter 1.8 --- Organization of Thesis --- p.4 / Chapter 2 --- Optimization of Channel Assignment I --- p.6 / Chapter 2.1 --- Introduction --- p.6 / Chapter 2.2 --- Generating Compact Patterns --- p.7 / Chapter 2.2.1 --- Regular size cells --- p.7 / Chapter 2.2.2 --- Irregular size cells --- p.7 / Chapter 2.3 --- Nominal Channel Allocation Methods --- p.10 / Chapter 2.3.1 --- Compact pattern allocation --- p.10 / Chapter 2.3.2 --- Greedy allocation --- p.11 / Chapter 2.3.3 --- Hybrid allocation --- p.11 / Chapter 2.3.4 --- The K-Optimal variations --- p.11 / Chapter 2.3.5 --- Backtracking strategies --- p.12 / Chapter 2.4 --- Performance Comparison --- p.12 / Chapter 2.5 --- Conclusions --- p.16 / Chapter 3 --- Optimization of Channel Assignment II --- p.18 / Chapter 3.1 --- Introduction --- p.18 / Chapter 3.2 --- Basic Heuristics --- p.20 / Chapter 3.2.1 --- Two methods for cell ordering --- p.20 / Chapter 3.2.2 --- Two channel assignment strategies --- p.20 / Chapter 3.3 --- Channel Assignments with Cell Re-ordering --- p.21 / Chapter 3.3.1 --- Four channel assignment algorithms --- p.21 / Chapter 3.3.2 --- Complexity --- p.22 / Chapter 3.3.3 --- An example --- p.22 / Chapter 3.4 --- Channel Assignment at Hotspots --- p.23 / Chapter 3.4.1 --- Strategy F vs strategy R --- p.23 / Chapter 3.4.2 --- Strategy FR --- p.24 / Chapter 3.5 --- Numerical Examples --- p.25 / Chapter 3.5.1 --- "Performance of algorithms F/CR,F/DR,R/CR and R/DR" --- p.26 / Chapter 3.5.2 --- Effect of X & Y on performance of algorithms FR/CR & FR/DR --- p.26 / Chapter 3.5.3 --- Performance of algorithms FR/CR & FR/DR --- p.27 / Chapter 3.6 --- Conclusions --- p.27 / Chapter 4 --- Compact Pattern Based DCA --- p.29 / Chapter 4.1 --- Introduction --- p.29 / Chapter 4.2 --- Compact Pattern Channel Assignment --- p.30 / Chapter 4.2.1 --- Data structures --- p.30 / Chapter 4.2.2 --- Two functions --- p.31 / Chapter 4.2.3 --- Two phases --- p.32 / Chapter 4.3 --- Performance Evaluation --- p.33 / Chapter 4.4 --- Conclusions --- p.36 / Chapter 5 --- Cell Group Decoupling Analysis --- p.37 / Chapter 5.1 --- Introduction --- p.37 / Chapter 5.2 --- One-Dimensional Cell Layout --- p.38 / Chapter 5.2.1 --- Problem formulation --- p.38 / Chapter 5.2.2 --- Calculation of blocking probability --- p.39 / Chapter 5.3 --- Two-Dimensional Cell Layout --- p.41 / Chapter 5.3.1 --- Problem formulation --- p.41 / Chapter 5.3.2 --- Calculation of blocking probability --- p.42 / Chapter 5.4 --- Illustrative Examples --- p.42 / Chapter 5.4.1 --- One-dimensional case --- p.42 / Chapter 5.4.2 --- Two-dimensional case --- p.45 / Chapter 5.5 --- Conclusions --- p.45 / Chapter 6 --- Phantom Cell Analysis --- p.49 / Chapter 6.1 --- Introduction --- p.49 / Chapter 6.2 --- Problem Formulation --- p.49 / Chapter 6.3 --- Arrival Rates in Phantom Cells --- p.50 / Chapter 6.4 --- Blocking Probability and Channel Occupancy Distribution --- p.51 / Chapter 6.4.1 --- Derivation of α --- p.51 / Chapter 6.4.2 --- Derivation of Bside --- p.52 / Chapter 6.4.3 --- Derivation of Bopp --- p.53 / Chapter 6.4.4 --- Channel occupancy distribution --- p.54 / Chapter 6.5 --- Numerical Results --- p.55 / Chapter 6.6 --- Conclusions --- p.55 / Chapter 7 --- Performance Analysis of BDCL Strategy --- p.58 / Chapter 7.1 --- Introduction --- p.58 / Chapter 7.2 --- Borrowing with Directional Carrier Locking --- p.58 / Chapter 7.3 --- Cell Group Decoupling Analysis --- p.59 / Chapter 7.3.1 --- Linear cellular systems --- p.59 / Chapter 7.3.2 --- Planar cellular systems --- p.61 / Chapter 7.4 --- Phantom Cell Analysis --- p.61 / Chapter 7.4.1 --- Call arrival rates in phantom cells --- p.62 / Chapter 7.4.2 --- Analytical model --- p.62 / Chapter 7.5 --- Numerical Examples --- p.63 / Chapter 7.5.1 --- Linear cellular system with CGD analysis --- p.63 / Chapter 7.5.2 --- Planar cellular system with CGD analysis --- p.65 / Chapter 7.5.3 --- Planar cellular system with phantom cell analysis --- p.65 / Chapter 7.6 --- Conclusions --- p.68 / Chapter 8 --- Performance Analysis of Directed Retry --- p.69 / Chapter 8.1 --- Introduction --- p.69 / Chapter 8.2 --- Directed Retry Strategy --- p.69 / Chapter 8.3 --- Blocking Performance of Directed Retry --- p.70 / Chapter 8.3.1 --- Analytical model --- p.70 / Chapter 8.3.2 --- Numerical examples --- p.71 / Chapter 8.4 --- HandofF Analysis for Directed Retry --- p.73 / Chapter 8.4.1 --- Analytical model --- p.73 / Chapter 8.4.2 --- Numerical examples --- p.75 / Chapter 8.5 --- Conclusions --- p.77 / Chapter 9 --- Handoff Analysis in a Linear System --- p.79 / Chapter 9.1 --- Introduction --- p.79 / Chapter 9.2 --- Traffic Model --- p.80 / Chapter 9.2.1 --- Call arrival rates --- p.80 / Chapter 9.2.2 --- Channel holding time distribution --- p.81 / Chapter 9.3 --- Analytical Model --- p.81 / Chapter 9.3.1 --- Handoff probability --- p.81 / Chapter 9.3.2 --- Handoff call arrival rate --- p.81 / Chapter 9.3.3 --- Derivation of blocking probability --- p.81 / Chapter 9.3.4 --- Handoff failure probability --- p.82 / Chapter 9.3.5 --- Finding the optimal number of guard channels --- p.83 / Chapter 9.4 --- Numerical Results --- p.83 / Chapter 9.4.1 --- System parameters --- p.83 / Chapter 9.4.2 --- Justifying the analysis --- p.84 / Chapter 9.4.3 --- The effect of the number of guard channels --- p.84 / Chapter 9.5 --- Conclusions --- p.85 / Chapter 10 --- Mobile Location Tracking Strategy --- p.88 / Chapter 10.1 --- Introduction --- p.88 / Chapter 10.2 --- Review of Location Tracking Strategies --- p.89 / Chapter 10.2.1 --- Fixed location area strategy --- p.89 / Chapter 10.2.2 --- Fixed reporting center strategy --- p.89 / Chapter 10.2.3 --- Intelligent paging strategy --- p.89 / Chapter 10.2.4 --- Time-based location area strategy --- p.89 / Chapter 10.2.5 --- Movement-based location area strategy --- p.90 / Chapter 10.2.6 --- Distance-based location area strategy --- p.90 / Chapter 10.3 --- Optimization of Location Area Size --- p.90 / Chapter 10.3.1 --- Location updating rates ´ؤ linear systems --- p.90 / Chapter 10.3.2 --- Location updating rates ´ؤ planar systems --- p.91 / Chapter 10.3.3 --- Optimal location area size ´ؤ linear systems --- p.92 / Chapter 10.3.4 --- Optimal location area size ´ؤ planar systems --- p.92 / Chapter 10.4 --- Comparison of FLA & DBLA Strategies --- p.93 / Chapter 10.5 --- Adaptive Location Tracking Strategy --- p.94 / Chapter 10.5.1 --- Mobility tracking --- p.94 / Chapter 10.5.2 --- Protocols for ALT strategy --- p.94 / Chapter 10.6 --- Numerical Examples --- p.95 / Chapter 10.7 --- Conclusions --- p.97 / Chapter 11 --- A New Quality of Service Measure --- p.99 / Chapter 11.1 --- Introduction --- p.99 / Chapter 11.2 --- QOS Measures --- p.99 / Chapter 11.3 --- An Example --- p.101 / Chapter 11.4 --- Case Studies --- p.101 / Chapter 11.5 --- Conclusions --- p.106 / Chapter 12 --- Discussions & Conclusions --- p.107 / Chapter 12.1 --- Summary of Results --- p.107 / Chapter 12.2 --- Topics for Future Research --- p.108 / Chapter A --- Borrowing with Directional Channel Locking Strategy --- p.110 / Chapter B --- Derivation of p2 --- p.112 / Chapter C --- Publications Derived From This Thesis --- p.114 / Bibliography --- p.115

Weiyan Ge. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 64-68). / Abstracts in English and Chinese. / Abstract --- p.ii / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Introduction of Power Control Problem --- p.2 / Chapter 1.1.1 --- Classification of Power Control Problem --- p.2 / Chapter 1.1.2 --- Previous Works --- p.7 / Chapter 1.2 --- Scope and Contribution of the Thesis --- p.11 / Chapter 1.3 --- Organization of the Thesis --- p.12 / Chapter 2 --- Background --- p.14 / Chapter 2.1 --- Stochastic Approximation --- p.14 / Chapter 2.2 --- Lognormal Distribution --- p.17 / Chapter 2.2.1 --- Definition and Properties --- p.17 / Chapter 2.2.2 --- Application on Radio Propagation --- p.18 / Chapter 3 --- System Model and Centralized Algorithm --- p.21 / Chapter 3.1 --- System Model --- p.21 / Chapter 3.2 --- Problem Statement and the Centralized Algorithm --- p.25 / Chapter 4 --- Proposed Stochastic Power Control Algorithm --- p.30 / Chapter 4.1 --- Proposed Power Control Algorithm --- p.30 / Chapter 4.2 --- Basic Properties of the Algorithm --- p.33 / Chapter 4.3 --- Convergence Property --- p.38 / Chapter 5 --- Numerical Results --- p.44 / Chapter 5.1 --- Simulation Model --- p.44 / Chapter 5.2 --- Numerical Results --- p.47 / Chapter 6 --- Conclusions And Future Works --- p.58 / Chapter 6.1 --- Conclusions --- p.58 / Chapter 6.2 --- Future Works --- p.60 / Chapter A --- Basic Properties of LOG-Distribution --- p.62 / Bibliography --- p.64

Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (p. 183-191).

published_or_final_version / Electrical and Electronic Engineering / Master / Master of Philosophy

Thesis (PhD) - Institute for Social Research, Faculty of Life and Social Sciences, Swinburne University of Technology, 2007. / Thesis submitted in fulfillment of the requirements of the degree of Doctor of Philosophy, Institute for Social Research, Faculty of Life and Social Sciences, Swinburne University of Technology, 2007. Typescript. Includes bibliographical references (p. 208-243).

Thesis (M.App.Sc.) - Carleton University, 2005. / Includes bibliographical references (p. 99-100). Also available in electronic format on the Internet.

Thesis (M.S.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains xi, 100 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 81-84).

Thesis (M.A.)--The University of North Carolina at Greensboro, 2010. / Directed by Rick Bunch; submitted to the Dept. of Geography. Title from PDF t.p. (viewed Jul. 7, 2010). Includes bibliographical references (p. 85-87).

Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2006. / Andrew, Alfred, Committee Member ; Durgin, Gregory, Committee Member ; Li, Geoffrey, Committee Member ; Ingram, Mary Ann, Committee Member ; Stuber, Gordon, Committee Chair.