Table of contents : Preface Contents Editors and Contributors Abbreviations 1 MIMO Antennas: A 5G Communication Perspective 1.1 Introduction 1.2 Single Element Versus Multiple Antenna System 1.3 MIMO Antenna System 1.3.1 MIMO Antenna Design Methodology: 1.3.2 Performance Enhancement of MIMO Systems 1.4 Comparative Study of SISO, MIMO and Massive MIMO System 1.5 mm-Wave MIMO 1.6 Antenna Array Beamforming: 1.7 Conclusion References 2 Pilot Contamination in Massive MIMO Communications 2.1 Introduction 2.2 System Model 2.3 The Pilot Scheduling Algorithms 2.3.1 Greedy Pilot Scheduling Method 2.3.2 Tabu Search Pilot Scheduling Method 2.3.3 The Sorting-Based Scheme 2.3.4 The Smart Pilot Assignment (SPA) Scheme 2.3.5 The Water-filling Based Pilot Assignment Scheme 2.4 Results and Discussions 2.4.1 Greedy and TS Scheme 2.4.2 Sorting-Based Scheme 2.4.3 The SPA scheme and Water-filling Pilot Allocation 2.5 Conclusion References 3 Detection Techniques in Uplink Massive MIMO Systems 3.1 Introduction 3.1.1 Literature Overview and Challenges in Massive MIMO Detection 3.2 System Model and Problem Formulation 3.2.1 Mathematical Model 3.2.2 Problem Formulation 3.3 Massive MIMO Detection Techniques 3.3.1 Approximate Matrix Inversion Methods 3.3.2 Iterative Methods 3.4 Simulation Results and Discussions 3.4.1 Bit Error Rate Comparison 3.4.2 Computational Complexity 3.5 Conclusion and Future Scope References 4 Index Modulation Techniques for 5G and Beyond Wireless Systems 4.1 Introduction 4.2 System Model 4.2.1 Maximum-Likelihood Detection 4.3 Types of Index Modulation 4.3.1 Spatial Modulation 4.3.2 Generalized Spatial Modulation 4.3.3 Space Shift Keying and Generalized Space Shift Keying 4.3.4 Media-Based Modulation 4.4 Multi-dimensional Index Modulation 4.4.1 Space-Time IM 4.4.2 Spatial Modulated Media-Based Modulation 4.5 Conclusion References 5 Sparse Code and Hybrid Multiple Access Techniques 5.1 Introduction of NOMA 5.2 SCMA System Model 5.2.1 Downlink SCMA System 5.2.2 Design and Optimization of SCMA Codebooks 5.2.3 Symbol Detection in SCMA 5.2.4 Example 5.2.5 Numerical Results and Discussions 5.3 Hybrid Multiple Access-Based System Design 5.3.1 Future Research Direction References 6 Implementation of a Non-orthogonal Multiple Access Scheme Under Practical Impairments 6.1 Introduction 6.2 System Model 6.3 System Performance Analysis: Outage Performance of NOMA Users' Signals 6.3.1 Outage Probability of xp 6.3.2 Outage Probability of xn 6.3.3 Asymptotic Expressions of Outage Behavior in OMA in NOMA 6.3.4 Throughput Analysis 6.4 Outage Performance Analysis of OMA Users' Signals 6.4.1 Outage Probability of xp in OMA 6.4.2 Outage Probability of xn 6.4.3 Asymptotic Expressions of Outage Behavior in OMA 6.5 Numerical Results 6.6 Conclusion References 7 mmWave-Based 5G and Beyond Cellular Networks 7.1 Introduction 7.2 Heterogeneous Deployment 7.2.1 Stochastic Geometry-Based Heterogeneous Cellular Network Modeling 7.3 MmWave Bands for 5G and Beyond Networks 7.3.1 mmWave Signals Transmission Characteristics 7.4 System Design Considerations and Implications 7.5 Analysis of Cognitive-Based Hybrid mmWave/UHF Cellular Network 7.5.1 System Model 7.5.2 CPBS Network Activity Model 7.5.3 Power Consumption Model 7.5.4 Outage Analysis for CPBS Tier 7.5.5 Total Outage Probability Analysis for CHCN 7.5.6 Area Spectral Efficiency and Energy Efficiency Analysis 7.5.7 Results and Discussions 7.6 Future Research Directions 7.7 Conclusion References 8 Multi-user Full-Duplex Two-Way Relaying Systems with User Mobility 8.1 Introduction 8.2 Practical Full-Duplex 8.2.1 Key Challenge 8.2.2 Opportunities 8.3 Multi-user Full-Duplex Relaying 8.3.1 Literature Review 8.3.2 Work Done and Results 8.4 Conclusion and Future Directions References 9 PAPR Reduction of Filter Bank Techniques for 5G Communication Systems 9.1 Introduction 9.2 Key Technology and Components 9.3 5G Technology Waveforms 9.3.1 Filter Bank Multicarrier (FBMC) 9.3.2 Universal Filtered Multicarrier (UFMC) 9.3.3 Generalized Frequency Division Multiplexing (GFDM) 9.3.4 Biorthogonal Frequency-Division Multiplexing (BFDM) 9.4 PAPR and Reduction Techniques 9.4.1 Distortion Techniques 9.4.2 Distortion-Less Techniques 9.4.3 Techniques with Predistortion 9.4.4 Techniques with DFT Spreading 9.5 Results Analysis and Discussion 9.6 Conclusion References 10 Optimization of Resources to Minimize Power Dissipation in 5G Wireless Networks 10.1 Introduction and Background 10.2 System Assumptions 10.2.1 Network Topology 10.2.2 Channel Model 10.2.3 Power Dissipation in a BS 10.3 Problem Formulation and Optimization of Transmit Power 10.3.1 Coverage Probability of an UE 10.3.2 Coverage Probability of the Farthest UE 10.3.3 Optimization Formulation 10.3.4 Optimization of Transmit Power 10.4 Deployment Strategy for a Single BS 10.4.1 For Large Number of UEs 10.4.2 For Moderate Number of UEs 10.5 Deployment Strategy for Multiple BSs 10.5.1 For Large Nu 10.5.2 For Moderate Nu 10.6 Joint Optimization 10.6.1 Optimization over the Square Field 10.6.2 Optimization over the Circular Field 10.7 Numerical Results and Discussions 10.8 Summary References 11 Spectrum Sensing for Cognitive Radio Networks 11.1 Introduction 11.2 Mathematical Model 11.3 Spectrum Sensing Techniques for White Gaussian Noise 11.3.1 Blind Sensing Algorithms 11.3.2 Non-Blind Spectrum Sensing Algorithms 11.4 Spectrum Sensing Algorithms for Colored Gaussian Noise 11.4.1 Standard Condition Number (SCN) 11.4.2 Maximum Eigenvalue 11.4.3 LogDet Covariance 11.5 Cooperative Sensing 11.5.1 Centralized Sensing 11.5.2 Distributed Sensing 11.5.3 External Sensing 11.6 Results and Discussion 11.7 Experimental Results 11.8 Cognitive Radio with Full-Duplex 11.9 Conclusion References 12 Cooperative Spectrum Sensing in Energy Harvesting Cognitive Radio Networks Under Diverse Distribution Models 12.1 Introduction 12.1.1 Literature Review 12.1.2 Organization of the Chapter 12.2 System Model 12.2.1 Activity Model of PU 12.3 Mathematical Modeling and Analysis of the Proposed System 12.3.1 Global Prediction 12.3.2 Global Sensing 12.3.3 Combined Final Decision About PU Status 12.3.4 Enhancing Spectrum Reusability 12.3.5 Energy Harvesting 12.3.6 Cost of Energy Harvesting 12.3.7 Throughput of CRN 12.4 Results and Discussions 12.5 Conclusion References 13 Impact of Buffer Size on Proactive Spectrum Handoff Delay in Cognitive Radio Networks 13.1 Introduction 13.2 System Model 13.3 CHD for Non-switching, Switching and Random Switching Proactive SH Schemes 13.3.1 Non-switching SH 13.3.2 Switching Spectrum Handoff 13.3.3 Random Spectrum Handoff 13.4 Results and Discussion 13.5 Conclusion References 14 Overlay Multi-user Satellite-Terrestrial Networks for IoT in the Presence of Interference 14.1 Introduction 14.1.1 Prior Works 14.1.2 Chapter Organization 14.2 System Description 14.2.1 System Model 14.2.2 Propagation Model 14.2.3 Multi-user Selection Criterion for Primary Terrestrial Receivers 14.2.4 Channel Models 14.2.5 Statistical Characterizations 14.3 Outage Performance of Satellite Network 14.3.1 Case 1 14.3.2 Case 2 14.4 Outage Performance of IoT Network 14.4.1 Case 1 14.4.2 Case 2 14.5 Adaptive Power Splitting Factor 14.6 Numerical and Simulation Results 14.7 Summary and Future Extensions References 15 Resource Allocation in D2D Communications 15.1 Introduction 15.2 Challenges in Resource Allocation for D2D Communication 15.3 Classification of Existing Schemes for D2D Communication 15.3.1 Sum-Throughput Maximization 15.3.2 Spectral Efficiency Maximization 15.3.3 Energy Efficiency Maximization 15.3.4 Energy Efficiency and Spectral Efficiency Trade-Off 15.3.5 Delay Minimization 15.4 Resource Allocation for Sum-Throughput Maximization 15.4.1 System Model 15.4.2 Problem Formulation 15.4.3 Outage Probability Analysis 15.4.4 Channel Allocation Algorithm 15.4.5 Power Allocation 15.5 Conclusion and Future Works References 16 V2X Communications: Recent Advancements and Performance Analysis 16.1 Introduction 16.1.1 Need for Vehicular Communication 16.1.2 Challenges in Vehicular Communications 16.2 Vehicle-to-Vehicle (V2V) Communications 16.2.1 Prior Arts on V2V Communications 16.2.2 Future Research Problems on V2V Communications 16.3 Vehicle-to-Infrastructure (V2I) Communications 16.3.1 Prior Arts on V2I Communications 16.3.2 Research Directions on V2I Communications 16.4 Vehicle-to-Pedestrian (V2P) Communication 16.4.1 Recent Research on V2P Communications 16.4.2 Research Directions on V2P Communications 16.5 Self-driving Vehicles 16.5.1 Challenges for SDV 16.6 Vehicle-to-Network (V2N) Communications 16.6.1 Modeling of Node's Mobility 16.6.2 End-to-End Signal-to-Noise Ratio (SNR) 16.6.3 Performance Analysis 16.6.4 Numerical Results 16.7 Conclusion References 17 Physical Layer Security in Cooperative Vehicular Relay Networks 17.1 Introduction 17.1.1 Literature Review 17.1.2 Organization of the Chapter 17.2 System and Channel Models 17.3 Performance Analysis 17.3.1 Preliminaries 17.3.2 Secrecy Outage Probability (SOP) 17.3.3 Asymptotic SOP 17.3.4 Probability of Non-zero Secrecy Capacity 17.3.5 Intercept Probability 17.3.6 Ergodic Secrecy Capacity (ESC) 17.4 Numerical Results and Discussions 17.5 Conclusions References 18 Machine Learning in 5G Wireless Networks 18.1 Introduction 18.2 Machine Learning Basics 18.3 Machine Learning in 5G 18.3.1 Network-Level Data 18.3.2 User-Level Data 18.3.3 Network Control 18.3.4 Network Security 18.4 Conclusion References