Mobile and Wireless Communications with Practical Use-Case Scenarios

Cover
Half Title
Title Page
Copyright Page
Dedication
Contents
Preface
List of Figures
List of Tables
I. Fundamental Aspects of Signals, Analogue and Digital Communication Systems
	1. The Wireless Vision
		1.1. Introduction to Wireless Communication – Evolution and History
		1.2. Applications and Technical Challenges
			1.2.1. Multimedia-Based Network Delivery Solutions
			1.2.2. 360° Video Streaming Applications
			1.2.3. 360° Mulsemedia Streaming Applications
			1.2.4. Quality of Service (QoS) and Quality of Experience (QoE) Provisioning over Wireless Networks
			1.2.5. QoS Provisioning for Multimedia Delivery
			1.2.6. Approaches for Measuring the Video Quality
		1.3. A Simplified Network Model
	2. Wireless Transmission Fundamentals
		2.1. Spectrum and Frequencies
		2.2. Signals for Conveying Information
			2.2.1. Basic Concepts and Terminology
			2.2.2. Time and Frequency Domain
			2.2.3. Baseband and Carrier
		2.3. Antennas
			2.3.1. Antennas for Mobile Devices
			2.3.2. Sectorized Antennas for Cellular Networks
		2.4. Multiplexing and Modulation
			2.4.1. Multiplexing Techniques
			2.4.2. Modulation Techniques
		2.5. Spread Spectrum
		2.6. Medium Access Mechanisms
			2.6.1. Fixed-Assignment Access Solutions
			2.6.2. Random Access Solutions
		2.7. Practical Use-Case Scenario: Antennas Using Altair WinProp
			2.7.1. Creation of Urban Database Using WallMan
			2.7.2. Produce 3D Antenna Pattern Using AMan
			2.7.3. Urban Simulation Using ProMan
	3. Radio Propagation
		3.1. Introduction to Signal Propagation
		3.2. Multi-Path Propagation
		3.3. Fresnel Zone
		3.4. Path Loss and Path Loss Models
		3.5. Free Space Propagation Model
		3.6. Two-Ray Ground Model
		3.7. Okumura Model
		3.8. Okumura-Hata Model
		3.9. COST 231 Walfisch Ikegami
		3.10. Intelligent Ray Tracing
		3.11. Dominant Path Model
		3.12. Practical Use-Case Scenario: Radio Propagation Using Altair WinProp
			3.12.1. Creation of Urban Database Using WallMan
			3.12.2. Urban Simulation Using ProMan
		3.13. Practical Use-Case Scenario: Rural/Suburban Study Using Altair WinProp
II. Evolution of Mobile and Wireless Systems
	4. The Cellular Concept and Evolution
		4.1. Cellular Systems Fundamentals
		4.2. Traffic Engineering in Cellular Systems – Problem Solving
			4.2.1. Worked Example 01
			4.2.2. Worked Example 02
			4.2.3. Worked Example 03
			4.2.4. Worked Example 04
		4.3. Mobility Management and Handover
		4.4. Evolution from 1G to 5G and Beyond
			4.4.1. First Generation – 1G
			4.4.2. Second Generation – 2G
			4.4.3. 2.5 Generation – 2.5G
			4.4.4. Third Generation – 3G
			4.4.5. Fourth Generation – 4G
			4.4.6. Fifth Generation – 5G
				4.4.6.1. AI-Based Resource Allocation
				4.4.6.2. Network Slicing
				4.4.6.3. Software-Defined Networking
				4.4.6.4. Network Function Virtualization
				4.4.6.5. Multi-Access Edge Computing
			4.4.7. Sixth Generation – 6G
		4.5. Practical Use-Case Scenario: Network Planning for Urban Scenarios Using LTE with Altair WinProp
		4.6. Practical Use-Case Scenario: 5G Network Planning with Altair WinProp
	5. Satellite Communications
		5.1. The Future of Satellite Communications
		5.2. Satellite Basics
			5.2.1. GEO Satellites
			5.2.2. MEO Satellites
			5.2.3. LEO Satellites
		5.3. Applications of Satellites
			5.3.1. Iridium
			5.3.2. Globalstar
			5.3.3. Inmarsat
			5.3.4. Starlink
			5.3.5. Global Positioning System
		5.4. Routing and Localization
		5.5. Practical Use-Case Scenario: Satellite Communications Using Altair WinProp
			5.5.1. Geostationary Communication Satellite for Rural/Suburban Coverage
			5.5.2. Geostationary Communication Satellite for Urban Coverage
			5.5.3. GPS Satellites System for Urban Coverage
	6. Wireless Evolution
		6.1. Wireless Technologies Evolution
		6.2. Mobile Ad-Hoc Networks
			6.2.1. Proactive Routing Protocols
			6.2.2. Reactive Routing Protocols
			6.2.3. Hybrid Routing Protocols
		6.3. Vehicular Networks
			6.3.1. Wireless-Based Vehicular Communications
			6.3.2. Cellular-Based Vehicular Communication
		6.4. Millimeter Wave Multi-Gigabit Wireless Networks
		6.5. Use-Case Scenarios: Trends in Heterogeneous Environments Integration
			6.5.1. 5GonWheels
			6.5.2. I-RED
			6.5.3. PLATON
		6.6. Practical Use-Case Scenario: Wireless Indoor Communication Using Altair WinProp
III. Paradigms of Intelligent Networked Systems
	7. Intelligent Environments and Internet of Things
		7.1. IoT Life-Cycle
		7.2. IoT Applications
			7.2.1. Smart Surveillance Systems
			7.2.2. Autonomous Vehicles
			7.2.3. Healthcare
			7.2.4. Virtual Reality
			7.2.5. eLearning
			7.2.6. Smart Agriculture
		7.3. Wireless Access Networks for IoT
			7.3.1. LoRa and LoRaWAN
			7.3.2. ZigBee
			7.3.3. IEEE 802.11ah
			7.3.4. Bluetooth
		7.4. Introduction to Machine Learning for IoT
			7.4.1. Linear Regression
			7.4.2. K-Nearest Neighbours
			7.4.3. Decision Tree
			7.4.4. Random Forest
			7.4.5. Naive Bayes
			7.4.6. Logistic Regression
			7.4.7. Cross-Validation
			7.4.8. Bias and Variance
			7.4.9. Confusion Matrix
		7.5. Digital Twins for Industrial IoT
			7.5.1. DT for Manufacturing
			7.5.2. DT for Next Generation Networks
		7.6. Use-Case Scenario: Technology for Public Health Emergencies
		7.7. Practical Use-Case Scenario: ML for Predictive Maintenance and IoT Using Python, Tensorflow, Jupyter
			7.7.1. Use-Case Scenario Settings
			7.7.2. Data Sets Summary
			7.7.3. Source Code and Results
		7.8. Practical Use-Case Scenario: ML for Smart Cities IoT Using Python, Tensorflow, Jupyter
			7.8.1. Use-Case Scenario Settings
			7.8.2. Data Set Summary
			7.8.3. Source Code and Results
List of Acronyms
Index