Digital Communication Systems: Signals, Channels, and Signaling
- Length: 462 pages
- Edition: 1
- Language: English
- Publisher: Arcler Press
- Publication Date: 2020-11-01
- ISBN-10: 177407768X
- ISBN-13: 9781774077689
- Sales Rank: #0 (See Top 100 Books)
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.
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
Donate to keep this site alive
To access the Link, solve the captcha.
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.