Energy Fundamentals of Radio (eBook)

Joel L. Dawson (Autor)

eBook Download: EPUB

2025
Wiley (Verlag)
978-1-119-89778-1 (ISBN)

Infos

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.

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.

Textauszug

List of Figures

1.1	A cartoon radio link.

1.2	Setup for a mechanical calculator.

1.3	What is 2+3? It is 5, evidently.

1.4	Force on test charge qtest due to Q0.

1.5	Accelerating charges is where the action begins.

1.6	A very simple radio link.

1.7	Overview of a radio transceiver.

2.1	A car equipped with a 2D accelerometer.

2.2	Example accelerometer data.

2.3	Example speedometer data.

2.4	A voltage amplifier.

2.5	Signals in continuous time.

2.6	Signals in DT.

2.7	Sampling “often enough” to represent a signal well in DT.

2.8	An example of extreme undersampling.

2.9	A frequency number line. For a sampling rate of fs, there will be no ambiguity among frequencies in a band that is fs Hz wide.

2.10	We normally enforce the assumption that the input to a sampler is restricted to frequencies of magnitude less than fs/2. An important exception is subsampling receiving architectures, which seek to downconvert frequency bands that are fs wide but centered at high carrier frequencies.

2.11	A four-bit digital register composed of four flip-flops.

2.12	The three basic logic functions at the foundation of Boolean algebra.

2.13	Introducing additive noise to a voltage.

2.14	Detailed accounting for the number of distinguishable levels of a signal contaminated by noise.

2.15

A very common signal processing lineup: a CT signal x(t) is the input to an analog-to-digital converter (ADC), which produces discretized samples x[n]; any number of processing steps are carried out by a microprocessor (μP) producing discretized samples y[n]; a digital-to-analog converter (DAC) (plus, usually, some sort of analog filter) then turns discretized samples y[n] into CT signal y(t).

2.16	A square wave.

2.17	We pass our square wave into the input of a mystery circuit...

2.18	...and see this on the display of our oscilloscope.

2.19	Exponentials and sinusoids as eigenfunctions of LTI systems.

2.20	A simple circuit for exploring eigenfunctions of LTI systems.

2.21	The unit circle.

2.22	cosω0t in the frequency domain.

2.23	A square wave in the frequency domain. If you want to check the math, use Eqs. 2.50, 2.52, and 2.54.

2.24	A pure sinusoid in a noiseless environment, as measured on a spectrum analyzer.

2.25	A pure sinusoid in a noisy environment, as measured on a spectrum analyzer.

2.26	A pure sinusoid in a noisy environment, as measured on a spectrum analyzer, but this time with a bandpass filter preceding the spectrum analyzer.

2.27	A pure sinusoid in a noisy environment, as measured on a spectrum analyzer, again with a bandpass filter. This time, we have tightened the bandpass filter to really raise the SNR.

2.28	We approach the Fourier transform as a limit of the Fourier series, stretching the fundamental period T so that it is large compared to the time span of our signal.

2.29	Discretizing the Fourier transform.

2.30	A short, DT data buffer.

2.31	A short DT data buffer, but now made periodic with period N.

2.32	The highest frequency sinusoid in DT, with Ω=π.

2.33	A simple circuit, dissipating energy at a rate of v2(t)RJ/sec.

2.34	Contrasting thermal noise spectra with identical heights but differing bandwidths.

2.35	A pulse Fourier transform pair.

2.36	At minimum, our analytical definition of width should deal successfully with all three of these examples.

2.37	A try at defining the width of a distribution x(t).

2.38	Improving our definition of w by employing the absolute value |x(t)|.

2.39	Using the square x2(t) vs. the absolute value |x(t)|.

2.40	A point mass rotating around an axis. The force vector is into the page.

2.41	A two-mass structure rotating around an axis. The force vector is again into the page.

2.42	A symmetrical version of Figure 2.41 with the same total mass and moment of inertia.

2.43	Transforming a continuous, asymmetric mass distribution into an equivalent, symmetrical one. In this figure, m1=m2=12∫-l1l2m(x)dx.

2.44	An example pulse shape.

2.45	A pulse train.

2.46	In the frequency domain, separate multiplicative components of a pulse train.

2.47	If we use P1 our pulse train occupies a bandwidth of B1.

2.48	If we use P2 our pulse train occupies a bandwidth of B2.

3.1	A model of the Task for much of analog electronics.

3.2	A model of the Task when we have to deliver energy.

3.3	A model of the Task when it must be accomplished over a narrow band.

3.4	The RC circuit for analysis.

3.5	A unit step input.

3.6	Response of an RC circuit to a step input.

3.7	Frequency response of the RC circuit.

3.8	Analyzing the energy required to charge the capacitor once the switch closes. We assume in the analysis that the capacitor starts with zero charge.

3.9	Breaking the charging of Figure 3.8 into two steps. First, we connect the V/2 voltage source and wait until the capacitor has settled. Then, we open that switch and complete the charging by connecting the V voltage source.

3.10	Analyzing the average power to impose a sinusoid at the output.

3.11	The average power required of the source to impose a sinusoid at the output as a function of ω0. Note that the power is also quadratic in amplitude A.

3.12	Many times, the spectrum that we want to impose on an RC is flat from somewhere near DC to an upper limit B.

3.13	Driving a resistor: more interesting than it looks.

3.14	Four example transducers. To the source, it appears as though it is driving a resistive load.

3.15	A voltage source, with source resistance Rs.

3.16	Connecting a load resistor. How much power can we transfer to the load?.

3.17	Ideal amplifier chain.

3.18	Amplifier chain showing finite output impedances and parasitic capacitances.

3.19

An...

Produkt-Details

• Erscheint lt. Verlag: 6.10.2025
• Sprache: englisch
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: 5G • antenna theory • Circuits • Electromagnetic fields • energy tradeoffs • Feedback theory • machine learning • network communication • Number Theory • Radio Waves • Shannon Limit • Signal Processing • signal transmission • sustainability
• ISBN-10: 1-119-89778-5 / 1119897785
• ISBN-13: 978-1-119-89778-1 / 9781119897781