{"product_id":"wireless-communication-signals-isbn-9781119764410","title":"Wireless Communication Signals","description":"\u003cb\u003eWIRELESS COMMUNICATION SIGNALS\u003c\/b\u003e \u003cp\u003e\u003cb\u003eA practical guide to wireless communication systems and concepts\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eWireless technologies and services have evolved significantly over the last couple of decades, and \u003ci\u003eWireless Communication Signals\u003c\/i\u003e offers an important guide to the most recent advances in wireless communication systems and concepts grounded in a practical and laboratory perspective. Written by a noted expert on the topic, the book provides the information needed to model, simulate, test, and analyze wireless system and wireless circuits using modern instrumentation and computer aided design software.\u003c\/p\u003e\u003cp\u003eDesigned as a practical resource, the book provides a clear understanding of the basic theory, software simulation, hardware test, and modeling, system component testing, software and hardware interactions and co-simulations.  This important book:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides organic and harmonized coverage of wireless communication systems\u003c\/li\u003e\n\u003cli\u003eCovers a range of systems from radio hardware to digital baseband signal processing\u003c\/li\u003e\n\u003cli\u003ePresents information on testing and measurement of wireless communication systems and subsystems\u003c\/li\u003e\n\u003cli\u003eIncludes MATLAB file codes\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWritten for professionals in the communications industry, technical managers, and researchers in both academia and industry. \u003ci\u003eWireless Communication Signals\u003c\/i\u003e introduces wireless communication systems and concepts from both a practical and laboratory perspective. \u003c\/p\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003eList of Contributors xix\u003c\/p\u003e \u003cp\u003eAcronyms List xx\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Hands-on Wireless Communication Experience \u003c\/b\u003e\u003cb\u003e1\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eHüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Importance of Laboratory-Based Learning of Wireless Communications 1\u003c\/p\u003e \u003cp\u003e1.2 Model for a Practical Lab Bench 3\u003c\/p\u003e \u003cp\u003e1.3 Examples of Co-simulation with Hardware 6\u003c\/p\u003e \u003cp\u003e1.4 A Sample Model for a Laboratory Course 8\u003c\/p\u003e \u003cp\u003e1.4.1 Introduction to the SDR and Testbed Platform 11\u003c\/p\u003e \u003cp\u003e1.4.2 Basic Simulation 11\u003c\/p\u003e \u003cp\u003e1.4.3 Measurements and Multidimensional Signal Analysis 11\u003c\/p\u003e \u003cp\u003e1.4.4 Digital Modulation 12\u003c\/p\u003e \u003cp\u003e1.4.5 Pulse Shaping 13\u003c\/p\u003e \u003cp\u003e1.4.6 RF Front-end and RF Impairments 13\u003c\/p\u003e \u003cp\u003e1.4.7 Wireless Channel and Interference 14\u003c\/p\u003e \u003cp\u003e1.4.8 Synchronization and Channel Estimation 15\u003c\/p\u003e \u003cp\u003e1.4.9 OFDM Signal Analysis and Performance Evaluation 15\u003c\/p\u003e \u003cp\u003e1.4.10 Multiple Accessing 16\u003c\/p\u003e \u003cp\u003e1.4.11 Independent Project Development Phase 16\u003c\/p\u003e \u003cp\u003e1.4.11.1 Software Defined Radio 17\u003c\/p\u003e \u003cp\u003e1.4.11.2 Dynamic Spectrum Access and CR Experiment 17\u003c\/p\u003e \u003cp\u003e1.4.11.3 Wireless Channel 17\u003c\/p\u003e \u003cp\u003e1.4.11.4 Wireless Channel Counteractions 18\u003c\/p\u003e \u003cp\u003e1.4.11.5 Antenna Project 18\u003c\/p\u003e \u003cp\u003e1.4.11.6 Signal Intelligence 18\u003c\/p\u003e \u003cp\u003e1.4.11.7 Channel, User, and Context Awareness Project 19\u003c\/p\u003e \u003cp\u003e1.4.11.8 Combination of DSP Lab with RF and Microwave Lab 19\u003c\/p\u003e \u003cp\u003e1.4.11.9 Multiple Access and Interference Management 19\u003c\/p\u003e \u003cp\u003e1.4.11.10 Standards 20\u003c\/p\u003e \u003cp\u003e1.5 Conclusions 20\u003c\/p\u003e \u003cp\u003eReferences 20\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Performance Metrics and Measurements \u003c\/b\u003e\u003cb\u003e23\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eHüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Signal Quality Measurements 23\u003c\/p\u003e \u003cp\u003e2.1.1 Measurements Before Demodulation 24\u003c\/p\u003e \u003cp\u003e2.1.2 Measurements During and After Demodulation 25\u003c\/p\u003e \u003cp\u003e2.1.2.1 Noise Figure 26\u003c\/p\u003e \u003cp\u003e2.1.2.2 Channel Frequency Response Estimation 26\u003c\/p\u003e \u003cp\u003e2.1.3 Measurements After Channel Decoding 26\u003c\/p\u003e \u003cp\u003e2.1.3.1 Relation of SNR with BER 27\u003c\/p\u003e \u003cp\u003e2.1.4 Error Vector Magnitude 27\u003c\/p\u003e \u003cp\u003e2.1.4.1 Error-Vector-Time and Error-Vector-Frequency 29\u003c\/p\u003e \u003cp\u003e2.1.4.2 Relation of EVM with Other Metrics 30\u003c\/p\u003e \u003cp\u003e2.1.4.3 Rho 31\u003c\/p\u003e \u003cp\u003e2.1.5 Measures After Speech or Video Decoding 31\u003c\/p\u003e \u003cp\u003e2.2 Visual Inspections and Useful Plots 32\u003c\/p\u003e \u003cp\u003e2.2.1 Advanced Scatter Plot 39\u003c\/p\u003e \u003cp\u003e2.3 Cognitive Radio and SDR Measurements 40\u003c\/p\u003e \u003cp\u003e2.4 Other Measurements 42\u003c\/p\u003e \u003cp\u003e2.5 Clarifying dB and dBm 44\u003c\/p\u003e \u003cp\u003e2.6 Conclusions 45\u003c\/p\u003e \u003cp\u003eReferences 45\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Multidimensional Signal Analysis \u003c\/b\u003e\u003cb\u003e49\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eHüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Why Multiple Dimensions in a Radio Signal? 49\u003c\/p\u003e \u003cp\u003e3.2 Time Domain Analysis 52\u003c\/p\u003e \u003cp\u003e3.2.1 CCDF and PAPR 53\u003c\/p\u003e \u003cp\u003e3.2.2 Time Selectivity Measure 56\u003c\/p\u003e \u003cp\u003e3.3 Frequency Domain Analysis 57\u003c\/p\u003e \u003cp\u003e3.3.1 Adjacent Channel Power Ratio 59\u003c\/p\u003e \u003cp\u003e3.3.2 Frequency Selectivity Measure 61\u003c\/p\u003e \u003cp\u003e3.4 Joint Time-Frequency Analysis 62\u003c\/p\u003e \u003cp\u003e3.5 Code Domain Analysis 64\u003c\/p\u003e \u003cp\u003e3.5.1 Code Selectivity 66\u003c\/p\u003e \u003cp\u003e3.6 Correlation Analysis 67\u003c\/p\u003e \u003cp\u003e3.7 Modulation Domain Analysis 68\u003c\/p\u003e \u003cp\u003e3.8 Angular Domain Analysis 68\u003c\/p\u003e \u003cp\u003e3.8.1 Direction Finding 68\u003c\/p\u003e \u003cp\u003e3.8.2 Angular Spread 70\u003c\/p\u003e \u003cp\u003e3.9 MIMO Measurements 71\u003c\/p\u003e \u003cp\u003e3.9.1 Antenna Correlation 72\u003c\/p\u003e \u003cp\u003e3.9.2 RF Cross-Coupling 72\u003c\/p\u003e \u003cp\u003e3.9.3 EVM Versus Antenna Branches 73\u003c\/p\u003e \u003cp\u003e3.9.4 Channel Parameters 73\u003c\/p\u003e \u003cp\u003e3.10 Conclusions 73\u003c\/p\u003e \u003cp\u003eReferences 74\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Simulating a Communication System \u003c\/b\u003e\u003cb\u003e77\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMuhammad Sohaib J. Solaija and Hüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Simulation: What,Why? 77\u003c\/p\u003e \u003cp\u003e4.2 Approaching a Simulation 78\u003c\/p\u003e \u003cp\u003e4.2.1 Strategy 78\u003c\/p\u003e \u003cp\u003e4.2.2 General Methodology 80\u003c\/p\u003e \u003cp\u003e4.3 Basic Modeling Concepts 81\u003c\/p\u003e \u003cp\u003e4.3.1 System Modeling 81\u003c\/p\u003e \u003cp\u003e4.3.2 Subsystem Modeling 81\u003c\/p\u003e \u003cp\u003e4.3.3 Stochastic Modeling 82\u003c\/p\u003e \u003cp\u003e4.4 What is a Link\/Link-level Simulation? 82\u003c\/p\u003e \u003cp\u003e4.4.1 Source and Source Coding 82\u003c\/p\u003e \u003cp\u003e4.4.2 Channel Coding 83\u003c\/p\u003e \u003cp\u003e4.4.3 Symbol Mapping\/Modulation 83\u003c\/p\u003e \u003cp\u003e4.4.4 Upsampling 84\u003c\/p\u003e \u003cp\u003e4.4.5 Digital Filtering 84\u003c\/p\u003e \u003cp\u003e4.4.6 RF Front-end 85\u003c\/p\u003e \u003cp\u003e4.4.7 Channel 86\u003c\/p\u003e \u003cp\u003e4.4.8 Synchronization and Equalization 87\u003c\/p\u003e \u003cp\u003e4.4.9 Performance Evaluation and Signal Analysis 87\u003c\/p\u003e \u003cp\u003e4.5 Communication in AWGN – A Simple Case Study 88\u003c\/p\u003e \u003cp\u003e4.5.1 Receiver Design 88\u003c\/p\u003e \u003cp\u003e4.6 Multi-link vs. Network-level Simulations 88\u003c\/p\u003e \u003cp\u003e4.6.1 Network Layout Generation 90\u003c\/p\u003e \u003cp\u003e4.6.1.1 Hexagonal Grid 90\u003c\/p\u003e \u003cp\u003e4.6.1.2 PPP-based Network Layout 91\u003c\/p\u003e \u003cp\u003e4.7 Practical Issues 93\u003c\/p\u003e \u003cp\u003e4.7.1 Monte Carlo Simulations 93\u003c\/p\u003e \u003cp\u003e4.7.2 Random Number Generation 94\u003c\/p\u003e \u003cp\u003e4.7.2.1 White Noise Generation 94\u003c\/p\u003e \u003cp\u003e4.7.2.2 Random Binary Sequence 94\u003c\/p\u003e \u003cp\u003e4.7.3 Values of Simulation Parameters 95\u003c\/p\u003e \u003cp\u003e4.7.4 Confidence Interval 95\u003c\/p\u003e \u003cp\u003e4.7.5 Convergence\/Stopping Criterion 95\u003c\/p\u003e \u003cp\u003e4.8 Issues\/Limitations of Simulations 95\u003c\/p\u003e \u003cp\u003e4.8.1 Modeling Errors 96\u003c\/p\u003e \u003cp\u003e4.8.1.1 Errors in System Model 96\u003c\/p\u003e \u003cp\u003e4.8.1.2 Errors in Subsystem Model 96\u003c\/p\u003e \u003cp\u003e4.8.1.3 Errors in Random Process Modeling 96\u003c\/p\u003e \u003cp\u003e4.8.2 Processing Errors 96\u003c\/p\u003e \u003cp\u003e4.9 Conclusions 97\u003c\/p\u003e \u003cp\u003eReferences 97\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 RF Impairments \u003c\/b\u003e\u003cb\u003e99\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eHüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Radio Impairment Sources 99\u003c\/p\u003e \u003cp\u003e5.2 IQ Modulation Impairments 102\u003c\/p\u003e \u003cp\u003e5.3 PA Nonlinearities 106\u003c\/p\u003e \u003cp\u003e5.4 Phase Noise and Time Jitter 110\u003c\/p\u003e \u003cp\u003e5.5 Frequency Offset 112\u003c\/p\u003e \u003cp\u003e5.6 ADC\/DAC Impairments 113\u003c\/p\u003e \u003cp\u003e5.7 Thermal Noise 114\u003c\/p\u003e \u003cp\u003e5.8 RF Impairments and Interference 114\u003c\/p\u003e \u003cp\u003e5.8.1 Harmonics and Intermodulation Products 114\u003c\/p\u003e \u003cp\u003e5.8.2 Multiple Access Interference 116\u003c\/p\u003e \u003cp\u003e5.9 Conclusions 118\u003c\/p\u003e \u003cp\u003eReferences 118\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Digital Modulation and Pulse Shaping \u003c\/b\u003e\u003cb\u003e121\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eHüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Digital Modulation Basics 121\u003c\/p\u003e \u003cp\u003e6.2 Popularly Used Digital Modulation Schemes 123\u003c\/p\u003e \u003cp\u003e6.2.1 PSK 123\u003c\/p\u003e \u003cp\u003e6.2.2 FSK 125\u003c\/p\u003e \u003cp\u003e6.2.2.1 GMSK and Approximate Representation of GSM GMSK Signal 127\u003c\/p\u003e \u003cp\u003e6.2.3 QAM 129\u003c\/p\u003e \u003cp\u003e6.2.4 Differential Modulation 132\u003c\/p\u003e \u003cp\u003e6.3 Adaptive Modulation 133\u003c\/p\u003e \u003cp\u003e6.3.1 Gray Mapping 135\u003c\/p\u003e \u003cp\u003e6.3.2 Calculation of Error 135\u003c\/p\u003e \u003cp\u003e6.3.3 Relation of \u003ci\u003eEb No \u003c\/i\u003ewith SNR at the receiver 138\u003c\/p\u003e \u003cp\u003e6.4 Pulse-Shaping Filtering 138\u003c\/p\u003e \u003cp\u003e6.5 Conclusions 146\u003c\/p\u003e \u003cp\u003eReferences 146\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 OFDM Signal Analysis and Performance Evaluation \u003c\/b\u003e\u003cb\u003e147\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eHüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Why OFDM? 147\u003c\/p\u003e \u003cp\u003e7.2 Generic OFDM System Design and Its Evaluation 149\u003c\/p\u003e \u003cp\u003e7.2.1 Basic CP-OFDM Transceiver Design 150\u003c\/p\u003e \u003cp\u003e7.2.2 Spectrum of the OFDM Signal 151\u003c\/p\u003e \u003cp\u003e7.2.3 PAPR of the OFDM Signal 155\u003c\/p\u003e \u003cp\u003e7.2.4 Performance in Multipath Channel 157\u003c\/p\u003e \u003cp\u003e7.2.4.1 Time-Dispersive Multipath Channel 157\u003c\/p\u003e \u003cp\u003e7.2.4.2 Frequency-Dispersive Multipath Channel 161\u003c\/p\u003e \u003cp\u003e7.2.5 Performance with Impairments 162\u003c\/p\u003e \u003cp\u003e7.2.5.1 Frequency Offset 163\u003c\/p\u003e \u003cp\u003e7.2.5.2 Symbol Timing Error 167\u003c\/p\u003e \u003cp\u003e7.2.5.3 Sampling Clock Offset 170\u003c\/p\u003e \u003cp\u003e7.2.5.4 Phase Noise 171\u003c\/p\u003e \u003cp\u003e7.2.5.5 PA Nonlinearities 172\u003c\/p\u003e \u003cp\u003e7.2.5.6 I\/Q Impairments 175\u003c\/p\u003e \u003cp\u003e7.2.6 Summary of the OFDM Design Considerations 177\u003c\/p\u003e \u003cp\u003e7.2.7 Coherent versus Differential OFDM 178\u003c\/p\u003e \u003cp\u003e7.3 OFDM-like Signaling 180\u003c\/p\u003e \u003cp\u003e7.3.1 OFDM Versus SC-FDE 180\u003c\/p\u003e \u003cp\u003e7.3.2 Multi-user OFDM and OFDMA 181\u003c\/p\u003e \u003cp\u003e7.3.3 SC-FDMA and DFT-S-OFDM 182\u003c\/p\u003e \u003cp\u003e7.4 Case Study: Measurement-Based OFDM Receiver 185\u003c\/p\u003e \u003cp\u003e7.4.1 System Model 185\u003c\/p\u003e \u003cp\u003e7.4.1.1 Frame Format 186\u003c\/p\u003e \u003cp\u003e7.4.1.2 OFDM Symbol Format 186\u003c\/p\u003e \u003cp\u003e7.4.1.3 Baseband Transmitter Blocks and Transmitted Signal Model 186\u003c\/p\u003e \u003cp\u003e7.4.1.4 Received Signal Model 188\u003c\/p\u003e \u003cp\u003e7.4.2 Receiver Structure and Algorithms 189\u003c\/p\u003e \u003cp\u003e7.4.2.1 Packet Detection 191\u003c\/p\u003e \u003cp\u003e7.4.2.2 Frequency Offset Estimation and Compensation 191\u003c\/p\u003e \u003cp\u003e7.4.2.3 Symbol Timing Estimation 192\u003c\/p\u003e \u003cp\u003e7.4.2.4 Packet-end Detection and Packet Extraction 193\u003c\/p\u003e \u003cp\u003e7.4.2.5 Channel Estimation and Equalization 194\u003c\/p\u003e \u003cp\u003e7.4.2.6 Pilot Tracking 195\u003c\/p\u003e \u003cp\u003e7.4.2.7 Auto-modulation Detection 195\u003c\/p\u003e \u003cp\u003e7.4.3 FCH Decoding 196\u003c\/p\u003e \u003cp\u003e7.4.4 Test and Measurements 196\u003c\/p\u003e \u003cp\u003e7.5 Conclusions 197\u003c\/p\u003e \u003cp\u003eReferences 198\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Analysis of Single-Carrier Communication Systems \u003c\/b\u003e\u003cb\u003e201\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eHüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 A Simple System in AWGN Channel 201\u003c\/p\u003e \u003cp\u003e8.2 Flat Fading (Non-Dispersive) Multipath Channel 210\u003c\/p\u003e \u003cp\u003e8.3 Frequency-Selective (Dispersive) Multipath Channel 215\u003c\/p\u003e \u003cp\u003e8.3.1 Time-Domain Equalization 219\u003c\/p\u003e \u003cp\u003e8.3.2 Channel Estimation 223\u003c\/p\u003e \u003cp\u003e8.3.3 Frequency-Domain Equalization 226\u003c\/p\u003e \u003cp\u003e8.4 Extension of Dispersive Multipath Channel to DS-CDMA-based Wideband Systems 229\u003c\/p\u003e \u003cp\u003e8.5 Conclusions 232\u003c\/p\u003e \u003cp\u003eReferences 232\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Multiple Accessing, Multi-Numerology, Hybrid Waveforms \u003c\/b\u003e\u003cb\u003e235\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMehmet Mert ¸Sahin and Hüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Preliminaries 235\u003c\/p\u003e \u003cp\u003e9.1.1 Duplexing 236\u003c\/p\u003e \u003cp\u003e9.1.2 Downlink Communication 237\u003c\/p\u003e \u003cp\u003e9.1.3 Uplink Communication 238\u003c\/p\u003e \u003cp\u003e9.1.4 Traffic Theory and Trunking Gain 238\u003c\/p\u003e \u003cp\u003e9.2 Orthogonal Design 241\u003c\/p\u003e \u003cp\u003e9.2.1 TDMA 241\u003c\/p\u003e \u003cp\u003e9.2.2 FDMA 242\u003c\/p\u003e \u003cp\u003e9.2.3 Code Division Multiple Access (CDMA) 243\u003c\/p\u003e \u003cp\u003e9.2.4 Frequency Hopped Multiple Access (FHMA) 245\u003c\/p\u003e \u003cp\u003e9.2.5 Space Division Multiple Access (SDMA) 246\u003c\/p\u003e \u003cp\u003e9.2.5.1 Multiuser Multiple-input Multiple-output (MIMO) 247\u003c\/p\u003e \u003cp\u003e9.3 Non-orthogonal Design 249\u003c\/p\u003e \u003cp\u003e9.3.1 Power-domain Non-orthogonal Multiple Access (PD-NOMA) 250\u003c\/p\u003e \u003cp\u003e9.3.2 Code-domain Non-orthogonal Multiple Access 251\u003c\/p\u003e \u003cp\u003e9.4 Random Access 253\u003c\/p\u003e \u003cp\u003e9.4.1 ALOHA 253\u003c\/p\u003e \u003cp\u003e9.4.2 Carrier Sense Multiple Accessing (CSMA) 254\u003c\/p\u003e \u003cp\u003e9.4.3 Multiple Access Collision Avoidance (MACA) 254\u003c\/p\u003e \u003cp\u003e9.4.4 Random Access Channel (RACH) 255\u003c\/p\u003e \u003cp\u003e9.4.5 Grant-free Random Access 255\u003c\/p\u003e \u003cp\u003e9.5 Multiple Accessing with Application-Based Hybrid Waveform Design 256\u003c\/p\u003e \u003cp\u003e9.5.1 Multi-numerology Orthogonal Frequency Division Multiple Access (OFDMA) 256\u003c\/p\u003e \u003cp\u003e9.5.2 Radar-Sensing and Communication (RSC) Coexistence 258\u003c\/p\u003e \u003cp\u003e9.5.3 Coexistence of Different Waveforms in Multidimensional Hyperspace for 6G and Beyond Networks 260\u003c\/p\u003e \u003cp\u003e9.6 Case Study 261\u003c\/p\u003e \u003cp\u003eAppendix: Erlang B table 263\u003c\/p\u003e \u003cp\u003eReferences 263\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Wireless Channel and Interference \u003c\/b\u003e\u003cb\u003e267\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAbuu B. Kihero, Armed Tusha, and Hüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Fundamental Propagation Phenomena 267\u003c\/p\u003e \u003cp\u003e10.2 Multipath Propagation 269\u003c\/p\u003e \u003cp\u003e10.2.1 Large-Scale Fading 269\u003c\/p\u003e \u003cp\u003e10.2.1.1 Path Loss 270\u003c\/p\u003e \u003cp\u003e10.2.1.2 Shadowing 271\u003c\/p\u003e \u003cp\u003e10.2.2 Small-Scale Fading 272\u003c\/p\u003e \u003cp\u003e10.2.2.1 Characterization of Time-Varying Channels 273\u003c\/p\u003e \u003cp\u003e10.2.2.2 Rayleigh and Rician Fading Distributions 274\u003c\/p\u003e \u003cp\u003e10.2.3 Time, Frequency and Angular Domains Characteristics of Multipath Channel 276\u003c\/p\u003e \u003cp\u003e10.2.3.1 Delay Spread 276\u003c\/p\u003e \u003cp\u003e10.2.3.2 Angular Spread 279\u003c\/p\u003e \u003cp\u003e10.2.3.3 Doppler Spread 281\u003c\/p\u003e \u003cp\u003e10.2.4 Novel Channel Characteristics in the 5G Technology 284\u003c\/p\u003e \u003cp\u003e10.3 Channel as a Source of Interference 288\u003c\/p\u003e \u003cp\u003e10.3.1 Interference due to Large-Scale Fading 288\u003c\/p\u003e \u003cp\u003e10.3.1.1 Cellular Systems and CoChannel Interference 288\u003c\/p\u003e \u003cp\u003e10.3.1.2 Cochannel Interference Control via Resource Assignment 289\u003c\/p\u003e \u003cp\u003e10.3.2 Interference due to Small-Scale Fading 292\u003c\/p\u003e \u003cp\u003e10.4 Channel Modeling 293\u003c\/p\u003e \u003cp\u003e10.4.1 Analytical Channel Models 294\u003c\/p\u003e \u003cp\u003e10.4.1.1 Correlation-based Models 294\u003c\/p\u003e \u003cp\u003e10.4.1.2 Propagation-Motivated Models 294\u003c\/p\u003e \u003cp\u003e10.4.2 Physical Models 295\u003c\/p\u003e \u003cp\u003e10.4.2.1 Deterministic Model 295\u003c\/p\u003e \u003cp\u003e10.4.2.2 Geometry-based Stochastic Model 295\u003c\/p\u003e \u003cp\u003e10.4.2.3 Nongeometry-based Stochastic Models 296\u003c\/p\u003e \u003cp\u003e10.4.3 3GPP 5G Channel Models 297\u003c\/p\u003e \u003cp\u003e10.4.3.1 Tapped Delay Line (TDL) Model 297\u003c\/p\u003e \u003cp\u003e10.4.3.2 Clustered Delay Line (CDL) Model 298\u003c\/p\u003e \u003cp\u003e10.4.3.3 Generating Channel Coefficients Using CDL Model 299\u003c\/p\u003e \u003cp\u003e10.4.4 Role of Artificial Intelligence (AI) in Channel Modeling 300\u003c\/p\u003e \u003cp\u003e10.5 Channel Measurement 301\u003c\/p\u003e \u003cp\u003e10.5.1 Frequency Domain Channel Sounder 303\u003c\/p\u003e \u003cp\u003e10.5.1.1 Swept Frequency\/Chirp Sounder 303\u003c\/p\u003e \u003cp\u003e10.5.2 Time Domain Channel Sounder 304\u003c\/p\u003e \u003cp\u003e10.5.2.1 Periodic Pulse\/Impulse Sounder 304\u003c\/p\u003e \u003cp\u003e10.5.2.2 Correlative\/Pulse Compression Sounders 305\u003c\/p\u003e \u003cp\u003e10.5.3 Challenges of Practical Channel Measurement 308\u003c\/p\u003e \u003cp\u003e10.6 Channel Emulation 308\u003c\/p\u003e \u003cp\u003e10.6.1 Baseband and RF Domain Channel Emulators 309\u003c\/p\u003e \u003cp\u003e10.6.2 Reverberation Chambers as Channel Emulator 309\u003c\/p\u003e \u003cp\u003e10.6.2.1 General Principles 309\u003c\/p\u003e \u003cp\u003e10.6.2.2 Emulating Multipath Effects Using RVC 311\u003c\/p\u003e \u003cp\u003e10.6.3 Commercial Wireless Channel Emulators 318\u003c\/p\u003e \u003cp\u003e10.7 Wireless Channel Control 319\u003c\/p\u003e \u003cp\u003e10.8 Conclusion 321\u003c\/p\u003e \u003cp\u003eReferences 321\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Carrier and Time Synchronization \u003c\/b\u003e\u003cb\u003e325\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMusab Alayasra and Hüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Signal Modeling 325\u003c\/p\u003e \u003cp\u003e11.2 Synchronization Approaches 327\u003c\/p\u003e \u003cp\u003e11.3 Carrier Synchronization 329\u003c\/p\u003e \u003cp\u003e11.3.1 Coarse Frequency Offset Compensation 331\u003c\/p\u003e \u003cp\u003e11.3.1.1 DFT-based Coarse Frequency Offset Compensation 331\u003c\/p\u003e \u003cp\u003e11.3.1.2 Phase-based Coarse Frequency Offset Compensation 333\u003c\/p\u003e \u003cp\u003e11.3.2 Fine Frequency Offset Compensation 335\u003c\/p\u003e \u003cp\u003e11.3.2.1 Feedforward MLE-Based Frequency Offset Compensation 335\u003c\/p\u003e \u003cp\u003e11.3.2.2 Feedback Heuristic-Based Frequency Offset Compensation 340\u003c\/p\u003e \u003cp\u003e11.3.3 Carrier Phase Offset Compensation 344\u003c\/p\u003e \u003cp\u003e11.4 Time Synchronization 345\u003c\/p\u003e \u003cp\u003e11.4.1 Frame Synchronization 346\u003c\/p\u003e \u003cp\u003e11.4.2 Symbol Timing Synchronization 347\u003c\/p\u003e \u003cp\u003e11.4.2.1 Feedforward MLE-based Symbol Timing Synchronization 348\u003c\/p\u003e \u003cp\u003e11.4.2.2 Feedback Heuristic-based Symbol Timing Synchronization 349\u003c\/p\u003e \u003cp\u003e11.5 Conclusion 352\u003c\/p\u003e \u003cp\u003eReferences 353\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Blind Signal Analysis \u003c\/b\u003e\u003cb\u003e355\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMehmet Ali Aygül, Ahmed Naeem, and Hüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 What is Blind Signal Analysis? 355\u003c\/p\u003e \u003cp\u003e12.2 Applications of Blind Signal Analysis 355\u003c\/p\u003e \u003cp\u003e12.2.1 Spectrum Sensing 356\u003c\/p\u003e \u003cp\u003e12.2.2 Parameter Estimation and Signal Identification 357\u003c\/p\u003e \u003cp\u003e12.2.2.1 Parameter Estimation 357\u003c\/p\u003e \u003cp\u003e12.2.2.2 Signal Identification 357\u003c\/p\u003e \u003cp\u003e12.2.3 Radio Environment Map 358\u003c\/p\u003e \u003cp\u003e12.2.4 Equalization 360\u003c\/p\u003e \u003cp\u003e12.2.5 Modulation Identification 361\u003c\/p\u003e \u003cp\u003e12.2.6 Multi-carrier (OFDM) Parameters Estimation 362\u003c\/p\u003e \u003cp\u003e12.3 Case Study: Blind Receiver 363\u003c\/p\u003e \u003cp\u003e12.3.1 Bandwidth Estimation 364\u003c\/p\u003e \u003cp\u003e12.3.2 Carrier Frequency Estimation 365\u003c\/p\u003e \u003cp\u003e12.3.3 Symbol Rate Estimation 366\u003c\/p\u003e \u003cp\u003e12.3.4 Pulse-Shaping and Roll-off Factor Estimation 366\u003c\/p\u003e \u003cp\u003e12.3.5 Optimum Sampling Phase Estimation 368\u003c\/p\u003e \u003cp\u003e12.3.6 Timing Recovery 369\u003c\/p\u003e \u003cp\u003e12.3.7 Frequency Offset and Phase Offset Estimation 371\u003c\/p\u003e \u003cp\u003e12.4 Machine Learning for Blind Signal Analysis 372\u003c\/p\u003e \u003cp\u003e12.4.1 Deep Learning 374\u003c\/p\u003e \u003cp\u003e12.4.2 Applications of Machine Learning 375\u003c\/p\u003e \u003cp\u003e12.4.2.1 Signal and Interference Identification 375\u003c\/p\u003e \u003cp\u003e12.4.2.2 Multi-RF Impairments Identification, Separation, and Classification 375\u003c\/p\u003e \u003cp\u003e12.4.2.3 Channel Modeling and Estimation 376\u003c\/p\u003e \u003cp\u003e12.4.2.4 Spectrum Occupancy Prediction 377\u003c\/p\u003e \u003cp\u003e12.5 Challenges and Potential Study Items 378\u003c\/p\u003e \u003cp\u003e12.5.1 Challenges 378\u003c\/p\u003e \u003cp\u003e12.5.2 Potential Study Items 379\u003c\/p\u003e \u003cp\u003e12.6 Conclusions 379\u003c\/p\u003e \u003cp\u003eReferences 380\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Radio Environment Monitoring \u003c\/b\u003e\u003cb\u003e383\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eHalise Türkmen, Saira Rafique, and Hüseyin Arslan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Radio Environment Map 384\u003c\/p\u003e \u003cp\u003e13.2 Generalized Radio Environment Monitoring 385\u003c\/p\u003e \u003cp\u003e13.2.1 Radio Environment Monitoring with the G-REM Framework 387\u003c\/p\u003e \u003cp\u003e13.3 Node Types 388\u003c\/p\u003e \u003cp\u003e13.4 Sensing Modes 388\u003c\/p\u003e \u003cp\u003e13.5 Observable Data, Derivable Information and Other Sources 389\u003c\/p\u003e \u003cp\u003e13.6 Sensing Methods 389\u003c\/p\u003e \u003cp\u003e13.6.1 Sensing Configurations 390\u003c\/p\u003e \u003cp\u003e13.6.2 Processing Data and Control Signal 391\u003c\/p\u003e \u003cp\u003e13.6.2.1 Channel State Information (CSI) 391\u003c\/p\u003e \u003cp\u003e13.6.2.2 Channel Impulse Response (CIR) 393\u003c\/p\u003e \u003cp\u003e13.6.2.3 Channel Frequency Response (CFR) 393\u003c\/p\u003e \u003cp\u003e13.6.3 Blind Signal Analysis 393\u003c\/p\u003e \u003cp\u003e13.6.4 Radio Detection and Ranging 394\u003c\/p\u003e \u003cp\u003e13.6.4.1 Radar Test-bed 401\u003c\/p\u003e \u003cp\u003e13.6.5 Joint Radar and Communication 402\u003c\/p\u003e \u003cp\u003e13.6.5.1 Coexistence 403\u003c\/p\u003e \u003cp\u003e13.6.5.2 Co-Design 403\u003c\/p\u003e \u003cp\u003e13.6.5.3 RadComm 405\u003c\/p\u003e \u003cp\u003e13.6.5.4 CommRad 406\u003c\/p\u003e \u003cp\u003e13.7 Mapping Methods 407\u003c\/p\u003e \u003cp\u003e13.7.1 Signal Processing Algorithms 407\u003c\/p\u003e \u003cp\u003e13.7.2 Interpolation Techniques 408\u003c\/p\u003e \u003cp\u003e13.7.2.1 Inverse Distance Weighted Interpolation 408\u003c\/p\u003e \u003cp\u003e13.7.2.2 Kriging’s Interpolation 409\u003c\/p\u003e \u003cp\u003e13.7.3 Model-Based Techniques 410\u003c\/p\u003e \u003cp\u003e13.7.4 Learning-Based Techniques 410\u003c\/p\u003e \u003cp\u003e13.7.5 Hybrid Techniques 410\u003c\/p\u003e \u003cp\u003e13.7.6 Case Study: Radio Frequency Map Construction 410\u003c\/p\u003e \u003cp\u003e13.7.6.1 Radio Frequency Map Construction Test-bed for CR 411\u003c\/p\u003e \u003cp\u003e13.7.7 Case Study: Wireless Local Area Network\/Wi-Fi Sensing 413\u003c\/p\u003e \u003cp\u003e13.7.7.1 WLAN Sensing Test-bed for Gesture Detection 415\u003c\/p\u003e \u003cp\u003e13.8 Applications of G-REM 416\u003c\/p\u003e \u003cp\u003e13.8.1 Cognitive Radios 417\u003c\/p\u003e \u003cp\u003e13.8.2 Security 417\u003c\/p\u003e \u003cp\u003e13.8.2.1 PHY Layer Security 417\u003c\/p\u003e \u003cp\u003e13.8.2.2 Cross-Layer Security 417\u003c\/p\u003e \u003cp\u003e13.8.3 Multi-Antenna Communication Systems 418\u003c\/p\u003e \u003cp\u003e13.8.3.1 UE and Obstacle Tracking for Beam Management 418\u003c\/p\u003e \u003cp\u003e13.8.3.2 No-Feedback Channel Estimation for FDD MIMO and mMIMO Systems 418\u003c\/p\u003e \u003cp\u003e13.8.4 Formation and Management of Ad Hoc Networks and Device-to-Device Communication 418\u003c\/p\u003e \u003cp\u003e13.8.5 Content Caching 419\u003c\/p\u003e \u003cp\u003e13.8.6 Enabling Flexible Radios for 6G and Beyond Networks 419\u003c\/p\u003e \u003cp\u003e13.8.7 Non-Communication Applications 419\u003c\/p\u003e \u003cp\u003e13.9 Challenges and Future Directions 420\u003c\/p\u003e \u003cp\u003e13.9.1 Security 420\u003c\/p\u003e \u003cp\u003e13.9.2 Scheduling 421\u003c\/p\u003e \u003cp\u003e13.9.3 Integration of (New) Technologies 421\u003c\/p\u003e \u003cp\u003e13.9.3.1 Re-configurable Intelligent Surfaces 421\u003c\/p\u003e \u003cp\u003e13.9.3.2 Quantum Radar 421\u003c\/p\u003e \u003cp\u003e13.10 Conclusion 422\u003c\/p\u003e \u003cp\u003eReferences 422\u003c\/p\u003e \u003cp\u003eIndex 425 \u003c\/p\u003e \u003cp\u003e\u003cb\u003eHüseyin Arslan\u003c\/b\u003e is a Professor at the University of South Florida. He has broad research experience in wireless communication systems, digital signal processing, cognitive radio, and channel modeling.\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eA practical guide to wireless communication systems and concepts\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eWireless technologies and services have evolved significantly over the last couple of decades, and \u003ci\u003eWireless Communication Signals\u003c\/i\u003e offers an important guide to the most recent advances in wireless communication systems and concepts grounded in a practical and laboratory perspective. Written by a noted expert on the topic, the book provides the information needed to model, simulate, test, and analyze wireless system and wireless circuits using modern instrumentation and computer aided design software.\u003c\/p\u003e\u003cp\u003eDesigned as a practical resource, the book provides a clear understanding of the basic theory, software simulation, hardware test, and modeling, system component testing, software and hardware interactions and co-simulations.  This important book:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides organic and harmonized coverage of wireless communication systems\u003c\/li\u003e\n\u003cli\u003eCovers a range of systems from radio hardware to digital baseband signal processing\u003c\/li\u003e\n\u003cli\u003ePresents information on testing and measurement of wireless communication systems and subsystems\u003c\/li\u003e\n\u003cli\u003eIncludes MATLAB file codes\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWritten for professionals in the communications industry, technical managers, and researchers in both academia and industry. \u003ci\u003eWireless Communication Signals\u003c\/i\u003e introduces wireless communication systems and concepts from both a practical and laboratory perspective.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990497444069,"sku":"NP9781119764410","price":140.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119764410.jpg?v=1761788065","url":"https:\/\/k12savings.com\/es\/products\/wireless-communication-signals-isbn-9781119764410","provider":"K12savings","version":"1.0","type":"link"}