Resource Management and Performance Analysis of Wireless Communication Networks

Preface
Contents
Abbreviations
List of Figures
List of Tables
1 Introduction
	1.1 Overview of Wireless Communication Networks
		1.1.1 Broadband Wireless Access Networks
		1.1.2 Cognitive Radio Networks
		1.1.3 Cloud Computing
	1.2 Resource Management
		1.2.1 Static Spectrum Allocation
		1.2.2 Dynamic Spectrum Allocation
		1.2.3 Virtualization
		1.2.4 Virtual Machine Migration
	1.3 Queueing Models and Performance Analyses
		1.3.1 Basic and Vacation Queueing Models
			1.3.1.1 Basic Queueing Model
			1.3.1.2 Performance Measures and Common Definitions
			1.3.1.3 Vacation Queueing Model
		1.3.2 Queueing Model with Multiple-Class Customers
		1.3.3 Matrix-Geometric Solution Method
			1.3.3.1 Birth-Death Process
			1.3.3.2 Quasi Birth-Death Process
			1.3.3.3 Matrix-Geometric Solution Method
		1.3.4 Jacobi Iterative Method
		1.3.5 Gauss-Seidel Method
		1.3.6 Performance Optimization
			1.3.6.1 Optimization of System Parameters
			1.3.6.2 Nash Equilibrium and Social Optimization
	1.4 Organization of This Book
Part I Resource Management and Performance Analysis on Broadband Wireless Access Networks
	2 Sleep Mode for Power Saving Class Type I
		2.1 Introduction
		2.2 Working Principle and System Model
			2.2.1 Working Principle
			2.2.2 System Model
		2.3 Performance Analysis
		2.4 Performance Measures
			2.4.1 System Energy
			2.4.2 Average Response Time of Data Packets
			2.4.3 System Cost
		2.5 Numerical Results
		2.6 Conclusion
	3 Sleep Mode for Power Saving Class Type II
		3.1 Introduction
		3.2 Working Principle and System Model
			3.2.1 Working Principle
			3.2.2 System Model
		3.3 Analysis of Busy Cycle
			3.3.1 Busy Period in Listening State
			3.3.2 Busy Period in Awake State
			3.3.3 Time Length of Busy Cycle
		3.4 Analysis of Waiting Time
			3.4.1 Waiting Time in Listening State
			3.4.2 Waiting Time in Awake State
			3.4.3 System Waiting Time
		3.5 Performance Measures and Numerical Results
			3.5.1 Performance Measures
			3.5.2 Numerical Results
		3.6 Optimal Sleep Window Length
		3.7 Conclusion
	4 Sleep Mode for Power Saving Class Type III
		4.1 Introduction
		4.2 Working Principle and System Model
			4.2.1 Working Principle
			4.2.2 System Model
		4.3 Performance Analysis
			4.3.1 Number of Data Packets and Batches
			4.3.2 Queue Length and Waiting Time
			4.3.3 Busy Cycle
		4.4 Performance Measures
			4.4.1 Handover Rate
			4.4.2 Energy Saving Rate
			4.4.3 System Utilization
			4.4.4 Average Response Time
		4.5 Numerical Results
		4.6 Conclusion
	5 Bernoulli Arrival-Based Sleep Mode in WiMAX 2
		5.1 Introduction
		5.2 Working Principle of Sleep Mode in IEEE 802.16m
		5.3 System Model and Performance Analysis
			5.3.1 System Model
			5.3.2 Performance Analysis
		5.4 Numerical Results
		5.5 Conclusion
	6 Markovian Arrival-Based Sleep Mode in WiMAX 2
		6.1 Introduction
		6.2 System Model and Performance Analysis
			6.2.1 System Model
			6.2.2 Number of Data Packets
			6.2.3 Busy Cycle
		6.3 Performance Measures and Optimization
			6.3.1 Performance Measures
			6.3.2 Performance Optimization
		6.4 Numerical Results
		6.5 Conclusion
	7 Two-Stage Vacation Queue-Based Active DRX Mechanism in an LTE  System
		7.1 Introduction
		7.2 Enhanced Energy Saving Strategy
		7.3 System Model and Performance Analysis
			7.3.1 System Model
			7.3.2 Busy Period
			7.3.3 Queue Length and Waiting Time
			7.3.4 Busy Cycle
			7.3.5 Performance Measures
		7.4 Numerical Results and Performance Optimization
			7.4.1 Numerical Results
			7.4.2 Performance Optimization
		7.5 Conclusion
	8 Multiple-Vacation Queue-Based Active DRX Mechanism in an LTE System
		8.1 Introduction
		8.2 Enhanced Active DRX Mechanism
		8.3 System Model and Performance Analysis
			8.3.1 System Model
			8.3.2 Transition Probability Sub-Matrices for Case I
			8.3.3 Transition Probability Sub-Matrices for Case II
			8.3.4 Performance Measures
		8.4 Numerical Results and Performance Optimization
			8.4.1 Numerical Results
			8.4.2 Performance Optimization
		8.5 Conclusion
Part II Resource Management and Performance Analysis on Cognitive Radio Networks
	9 Channel Aggregation Strategy with Perfect-Sensing Results
		9.1 Introduction
		9.2 Channel Aggregation Strategy and System Model
			9.2.1 Channel Aggregation Strategy
			9.2.2 System Model
		9.3 Performance Analysis and Numerical Results
			9.3.1 Steady-State Distribution
			9.3.2 Performance Measures and Analysis of System Cost
			9.3.3 Numerical Results
		9.4 Analysis of Admission Fee
			9.4.1 Nash Equilibrium Behavior
			9.4.2 Socially Optimal Behavior
			9.4.3 Pricing Policy
		9.5 Conclusion
	10 Spectrum Reservation Strategy with Retrial Feedback and Perfect-Sensing Results
		10.1 Introduction
		10.2 Spectrum Reservation Strategy and System Model
			10.2.1 Spectrum Reservation Strategy
			10.2.2 System Model
		10.3 Performance Analysis and Numerical Results
			10.3.1 Performance Analysis
			10.3.2 Performance Measures
			10.3.3 Numerical Results
		10.4 Performance Optimization
			10.4.1 Analysis of System Cost
			10.4.2 Optimization of System Parameters
		10.5 Conclusion
	11 Opportunistic Spectrum Access Mechanism with Imperfect Sensing Results
		11.1 Introduction
		11.2 Opportunistic Spectrum Access Mechanism and System  Model
			11.2.1 Activity of PU Packets
			11.2.2 Activity of SU Packets
			11.2.3 System Model
		11.3 Performance Analysis
			11.3.1 Mistake Detections and False Alarms
			11.3.2 Transition Probability Matrix
		11.4 Performance Measures and Numerical Results
			11.4.1 Performance Measures
			11.4.2 Numerical Results
		11.5 Analysis of Admission Fee
			11.5.1 Behaviors of Nash Equilibrium and Social Optimization
			11.5.2 Pricing Policy
		11.6 Conclusion
	12 Mini-Slotted Spectrum Allocation Strategy with Imperfect Sensing Results
		12.1 Introduction
		12.2 Mini-Slotted Spectrum Allocation Strategy and System Model
			12.2.1 Mini-Slotted Spectrum Allocation Strategy
			12.2.2 System Model
		12.3 Performance Analysis
			12.3.1 Transition Probability Matrix
			12.3.2 Steady-State Distribution
		12.4 Performance Measures and Numerical Results
			12.4.1 Performance Measures
			12.4.2 Numerical Results
		12.5 Performance Optimization
		12.6 Conclusion
	13 Channel Reservation Strategy with Imperfect Sensing Results
		13.1 Introduction
		13.2 Channel Reservation Strategy and System Model
			13.2.1 Channel Reservation Strategy
			13.2.2 System Model
		13.3 Performance Analysis and TLBO-SOR Algorithm
			13.3.1 Performance Analysis
			13.3.2 TLBO-SOR Algorithm
		13.4 Performance Measures and Numerical Results
			13.4.1 Performance Measures
			13.4.2 Numerical Results
		13.5 Conclusion
	14 Energy Saving Strategy in CRNs Based on a Priority Queue with Single Vacation
		14.1 Introduction
		14.2 Energy Saving Strategy and System Model
			14.2.1 Energy Saving Strategy
			14.2.2 System Model
		14.3 Performance Analysis and Numerical Results
			14.3.1 Performance Analysis
			14.3.2 Performance Measures
			14.3.3 Numerical Results
		14.4 Analysis of Admission Fee
			14.4.1 Behaviors of Nash Equilibrium and Social Optimization
			14.4.2 Pricing Policy
		14.5 Conclusion
	15 Energy Saving Strategy in CRNs Based on a Priority Queue with Multiple Vacations
		15.1 Introduction
		15.2 Energy Saving Strategy and System Model
			15.2.1 Energy Saving Strategy
			15.2.2 System Model
		15.3 Performance Analysis
		15.4 Performance Measures and Numerical Results
			15.4.1 Performance Measures
			15.4.2 Numerical Results
		15.5 Performance Optimization
			15.5.1 Analysis of System Cost
			15.5.2 Optimization of System Parameters
		15.6 Conclusion
Part III Resource Management and Performance Analysis on Cloud Computing
	16 Speed Switch and Multiple-Sleep Mode
		16.1 Introduction
		16.2 Virtual Machine Scheduling Strategy and System Model
			16.2.1 Virtual Machine Scheduling Strategy
			16.2.2 System Model
		16.3 Performance Analysis
			16.3.1 Transition Rate Matrix
			16.3.2 Steady-State Distribution
		16.4 Performance Measures and Numerical Results
			16.4.1 Performance Measures
			16.4.2 Numerical Results
		16.5 Performance Optimization
		16.6 Conclusion
	17 Virtual Machine Allocation Strategy
		17.1 Introduction
		17.2 Virtual Machine Allocation Strategy and System Model
			17.2.1 Virtual Machine Allocation Strategy
			17.2.2 System Model
		17.3 Performance Analysis
			17.3.1 Transition Rate Matrix
			17.3.2 Steady-State Distribution
		17.4 Performance Measures and Numerical Results
			17.4.1 Performance Measures
			17.4.2 Numerical Results
		17.5 Performance Optimization
		17.6 Conclusion
	18 Clustered Virtual Machine Allocation Strategy
		18.1 Introduction
		18.2 Clustered Virtual Machine Allocation Strategy and System Model
			18.2.1 Clustered Virtual Machine Allocation Strategy
			18.2.2 System Model
		18.3 Performance Analysis
			18.3.1 Transition Rate Matrix
			18.3.2 Steady-State Distribution
		18.4 Performance Measures and Numerical Results
			18.4.1 Performance Measures
			18.4.2 Numerical Results
		18.5 Performance Optimization
		18.6 Conclusion
	19 Pricing Policy for Registration Service
		19.1 Introduction
		19.2 Cloud Architecture and System Model
			19.2.1 Cloud Architecture
			19.2.2 System Model
		19.3 Performance Analysis
			19.3.1 Transition Rate Matrix
			19.3.2 Steady-State Distribution
		19.4 Performance Measures and Numerical Results
			19.4.1 Performance Measures
			19.4.2 Numerical Results
		19.5 Analysis of Registration Fee
			19.5.1 Behaviors of Nash Equilibrium and Social Optimization
			19.5.2 Pricing Policy
		19.6 Conclusion
	20 Energy-Efficient Task Scheduling Strategy
		20.1 Introduction
		20.2 Energy-Efficient Task Scheduling Strategy and System Model
			20.2.1 Energy-Efficient Task Scheduling Strategy
			20.2.2 System Model
		20.3 Performance Analysis
			20.3.1 Transition Rate Matrix
			20.3.2 Steady-State Distribution
		20.4 Performance Measures and Numerical Results
			20.4.1 Performance Measures
			20.4.2 Numerical Results
		20.5 Performance Optimization
		20.6 Conclusion
	21 Energy-Efficient Virtual Machine Allocation Strategy
		21.1 Introduction
		21.2 Energy-Efficient Virtual Machine Allocation Strategy and System Model
			21.2.1 Energy-Efficient Virtual Machine Allocation Strategy
			21.2.2 System Model
		21.3 Performance Analysis
			21.3.1 Transition Rate Matrix
			21.3.2 Steady-State Distribution
		21.4 Performance Measures and Numerical Results
			21.4.1 Performance Measures
			21.4.2 Numerical Results
		21.5 Analysis of Admission Fee
			21.5.1 Behaviors of Nash Equilibrium and Social Optimization
			21.5.2 Pricing Policy
		21.6 Conclusion
References
Index