Digital Communication Systems: Signals, Channels, and Signaling

✍ Scribed by Stefano Spezia (Editor)

• Publisher: Arcler Press
• Year: 2020
• Tongue: English
• Leaves: 494
• Category: Library

✦ Synopsis

During the last two decades, there has been an explosive growth in the telecommunications industry, characterized by an exponential increase in demand due to the addition of more and more individual computing devices. Digital Communication Systems: Signals, Channels, and Signaling book presents those concepts of mathematics that continue to reveal fundamentals for digital communication systems: principles of information theory, signaling over channels affected by additive white Gaussian noise, over band-limited channels, and fading channels.

✦ Table of Contents

Cover
Title Page
Copyright
DECLARATION
ABOUT THE EDITOR
TABLE OF CONTENTS
List of Contributors
List of Abbreviations
Preface
Section 1: Introduction to Modern Digital Communication Systems
Chapter 1 Multiple Access Techniques for Next Generation Wireless: Recent Advances and Future Perspectives
Abstract
Introduction
Space Divisionmultiple Access
Emergingmultiplexing/Multipleaccess Schemes
Proposed Clustered Orthogonalsignature Divisionmultiple Access
Conclusions
References
Chapter 2 Quasi-Spatially Periodic Signals for Optical Fibre Communications
Abstract
Introduction
Results
Discussion
Methods
Acknowledgements
References
Chapter 3 CP-based OFDM Radar–communications Signal Using Interval Linear Phase Compression Modulation
Abstract
Introduction
Methodology
Results
Conclusion
Acknowledgments
References
Section 2: Principles of Information Theory
Chapter 4 On Shannon’s Formula and Hartley’s Rule: Beyond the Mathematical Coincidence
Abstract
Introduction
Hartley’s Rule Is Not Hartley’s
Independent 1948 Derivations Of Shannon’s Formula
Hartley’s Rule Yields Shannon’s Formula: C' = C
Hartley’s Rule As A Capacity Formula
A Mathematical Analysis
Acknowledgments
Author Contributions
References
Chapter 5 A Unified Definition of Mutual Information with Applications in Machine Learning
Abstract
Introduction
Basic Concepts In Probability Theory
Various Definitions Of Mutual Information
A New Unified Definition Of Mutual Information
Newly Defined Mutual Information In Machine Learning
Conclusions
Acknowledgments
References
Chapter 6 Memory Effects can make the Transmission Capability of a Communication Channel Uncomputable
Abstract
Introduction
Results
Discussion
Methods
Acknowledgements
References
Section 3: Signaling over AWGN Channels
Chapter 7 An M-QAM Signal Modulation Recognition Algorithm in AWGN Channel
Abstract
Introduction
Mathematical Analyses
Parameter Extraction Based On Logarithmic Properties
Details On Algorithm And Simulation Performance
Discussion
Robustness Evaluation Cases
General Trends
Conclusion
References
Chapter 8 Mathematical Analysis for Detection Probability in Cognitive Radio Networks over Wireless Communication Channels
Abstract
Introduction
Model
Probability Of Detection Under Fading Channels
Results And Discussion
Conclusions
References
Chapter 9 Simple Adaptive Single Differential Coherence Detection of BPSK Signals in IEEE 802.15.4 Wireless Sensor Networks
Abstract
Introduction
System Model
Generalized Bsdcd Scheme
The Available Optimal Quantization Function
Summary And Analysis Of Some Simplified Estimation Schemes
Proposed Divisor-Free CFOE Estimator
Numerical Results And Discussion
Conclusions
Acknowledgments
Author Contributions
References
Section 4: Signaling over Band-Limited Channels
Chapter 10 Water-filling for Full-duplex Multiple-hop MIMO Relay System
Abstract
Introduction
Af Scheme Mmrss
Wf Method For Af Scheme Mmrs
Numerical Evaluation
Conclusions
References
Chapter 11 Relevance Vector Machines for Enhanced BER Probability in DMT-Based Systems
Abstract
Introduction
System Model
Channel Estimation
Frequency-Domain Channel Equalization
Simulation Results
Conclusions
References
Section 5: Signaling over Fading Channels
Chapter 12 Bit Error Rate Closed-Form Expressions for LoRa Systems under Nakagami and Rice Fading Channels
Abstract
Introduction
System Model
Bit Error Probability
Numerical Results
Application Case
Conclusions
Acknowledgments
Author Contributions
References
Chapter 13 Ergodic Rate for Fading Interference Channels with Proper and Improper Gaussian Signaling
Abstract
Introduction
Signal Model And Problem Statement
Pgs/Igs Scheme
Numerical Examples
Conclusions
Author Contributions
References
Chapter 14 Statistical Modeling, Simulation, and Experimental Verification of Wideband Indoor Mobile Radio Channels
Abstract
Introduction
The Geometrical Indoor Scattering Model
Statistical Characterization of The Reference Channel Model
Design of an SOC Wideband Indoor Channel Simulator
Numerical and Simulation Results
Experimental Verification
Conclusion
Acknowledgments
References
Chapter 15 A New Mathematical Analysis of the Probability of Detection in Cognitive Radio over Fading Channels
Abstract
Introduction
Energy Sensing Model
Probability Of Detection And False Alarms Under Nakagami Fading Channels
Simulation And Numerical Results
Conclusions
References
Chapter 16 Signal-to-noise Ratio Estimation for M-QAM Signals in η−μ and κ−μfading Channels
Abstract
Introduction
Methods
Derivation Of The Kth Moment Of |R[N]|
Derivation Of Snr Estimates
Relation With The Estimator For Nakagami Fading Channel
Evaluation Of The Estimate By Means Of The NMSE
Moments Of The M-Qam Constellations
Discussion On The Cramér-Rao Bound
Results And Discussion
Conclusion
Acknowledgements
References
Chapter 17 An Efficient MIMO Scheme with Signal Space Diversity for Future Mobile Communications
Abstract
Introduction
System Model
Theoretical Analysis of The Achievable Rate For Rotated Real-Valued Signals
Ami Analysis For Complex-Valued Qam Signals
Code Design For JCMD-ID System
Simulation Result
Conclusions
Acknowledgements
References
Chapter 18 Orthogonal Frequency Division Multiplexing Techniques Comparison for Underwater Optical Wireless Communication Systems
Abstract
Introduction
Research Problem
Analysis Of Optical OFDM For Underwater Communications
ACO-OFDM
Band-Limited Channel
Numerical Results
Conclusions
Author Contributions
References
Index
Back Cover