Energy Fundamentals of Radio - Joel L Dawson

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Résumé :

Understand the technology that has reshaped global communication.

Wireless communication has transformed virtually every area of global technology, interaction, and commerce. The flow of information between transmitter and receiver without the aid of wires or cables has placed online and network communication on a revolutionary new footing, with ramifications that are still being felt. No communications or information professional can be without a working knowledge of this area of technology.

Energy Fundamentals of Radio provides an accessible, readable overview of this critical subject. It emphasizes the fundamental realities of wireless communication with respect to energy use and energy tradeoffs, surveys the major theories underlying wireless technology, and analyzes key 5G techniques that can minimize energy consumption. The result promises to be a standard introduction to the field.

Energy Fundamentals of Radio readers will also find:

• Detailed discussion of topics including antenna theory, electromagnetic fields, sustainability, and more.
• In-depth chapter on The Shannon Limit to demonstrate a key principle in the field.

Energy Fundamentals of Radio is ideal for any communications, networking, or information professional looking for a one-stop reference on wireless technology....

Biographie:

Joel L. Dawson, PhD, is an entrepreneur and former MIT professor in the EECS department. He is currently President and CEO of The Dawson Group, Inc., and Founder and CEO of TalkingHeads Wireless, Inc. He serves on the Board of Advisors for the Museum of Science, Boston, USA. His publications include numerous scholarly articles on wireless communications and related subjects, numerous patents, and two other books on foundational electrical engineering topics....

Sommaire:

List of Figures xiii

List of Tables xxvii

Acknowledgments xxix

1 A First Look at a Radio Link 1

1.1 Introduction 1

1.2 A Radio Link: The Basic Parts 3

1.3 On Using Nature's Laws to Build Machines 3

1.4 The Key Natural Law for Radio Communications 5

1.5 A Simple Radio Transmitter and Receiver 8

1.6 The Most Important Question in Engineering 8

1.7 Overview of This Book 9

2 Highlights from Linear System Theory 13

2.1 What Are Signals, Come to Think of It? 13

2.2 Representing Signals in the Time Domain 16

2.2.1 Continuous-time Representations 16

2.2.2 Discrete-time Representations 18

2.2.3 Sampling and Hazards Thereof 18

2.2.4 Discretizing Amplitude and the Concept of Bits 22

2.3 Representing Signals in the Frequency Domain 26

2.3.1 On the Centrality of Exponentials and Sinusoids in Linear System Theory 28

2.3.2 The Fourier Series 42

2.3.3 The Fourier Transform 45

2.3.4 In Praise of Discretized Representations: The Discrete Fourier Transform (or Fast Fourier Transform) 47

2.4 Parseval's Theorem and Signal Energy 57

2.4.1 Signal Energy and Power for Time-domain Signals 58

2.4.2 Deriving Parseval's Theorem 59

2.4.3 The Concept of Power Spectral Density 60

2.4.4 Noise and Energy Spectral Density 61

2.5 Bandwidth Equals Speed: The Uncertainty Principle 63

2.5.1 Deriving the Uncertainty Principle 64

2.5.2 Implications of the Uncertainty Principle for Communications 71

3 The Least You Need to Know About Analog Electronics 75

3.1 The RC Circuit 77

3.1.1 Time Domain Behavior 77

3.1.2 Frequency Domain Behavior 79

3.1.3 Energy Considerations for RC Circuits 80

3.2 The Resistive Load: When You Have to Deliver Energy 87

3.2.1 Maximum Power Transfer 89

3.2.2 That Said .The Best Way to Transfer Power Is Not to Have a Source Impedance at All 91

3.2.3 The Power to Drive a Resistor Is Linear in B 91

3.3 The Parallel RLC Circuit 92

3.3.1 Time Domain Behavior 94

3.3.2 Frequency Domain Behavior 96

3.3.3 Energy Considerations and Q 98

3.4 Energy Considerations Summary 102

4 Noise in Communications Systems 105

4.1 The Importance of Thermal Noise 106

4.1.1 The Equipartition Theorem for Circuits 107

4.1.2 All Objects Radiate 109

4.1.3 .But You'll Only Notice This Using Radio Telescopes 111

4.2 Dealing with Probabilistic Signals 111

4.2.1 Normal or Gaussian Distributions 112

4.2.2 The Meaning of Correlation 115

4.2.3 The Meaning of Autocorrelation 120

4.2.4 Autocorrelation and Power Spectral Density as a Fourier Transform Pairs 121

4.3 Characteristics of Thermal Noise in Circuits 124

4.3.1 In the Frequency Domain 125

4.3.2 In the Time Domain 127

4.4 What Happens When Noise Gets Filtered 129

4.5 What Happens When Noise Gets Averaged 131

4.5.1 Notice How Uncorrelated Noise Sources Combine 132

4.6 Harmonizing Averaging and Filtering 132

4.7 The All-important Signal-to-noise Ratio 133

4.8 The Effective Number of Bits, or ENOB 135

4.9 The RC Circuit as a Noisy System 140

4.10 The Thermal Noise Floor in Radio Receivers 142

5 Understanding the Shannon Limit 147

5.1 Putting the Shannon Limit to Work 148

5.1.1 Exploring the Shannon Limit with Numbers 148

5.1.2 Using the Shannon Limit 151

5.1.3 Repeat: We Do Require Energy to Move Bits Through a Network! 153

5.2 Detecting Signals Buried in Noise 154

5.2.1 Using Correlation to Extract Sig...