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Massive MIMO for Future Wireless Communication Systems
Technology and Applications
Webert Montlouis (Edited by), Montlouis (Author), Agbotiname Lucky Imoize (Edited by)
9781394228300, Wiley
Hardback, published 20 December 2024
480 pages
22.9 x 15.2 x 2.9 cm, 0.912 kg
Authoritative resource discussing the development of advanced massive multiple input multiple output (MIMO) techniques and algorithms for application in 6G Massive MIMO for Future Wireless Communication Systems analyzes applications and technology trends for massive multiple input multiple output (MIMO) in 6G and beyond, presenting a unified theoretical framework for analyzing the fundamental limits of massive MIMO that considers several practical constraints. In addition, this book develops advanced signal-processing algorithms to enable massive MIMO applications in realistic environments. The book looks closer at applying techniques to massive MIMO in order to meet practical network constraints in 6G networks, such as interference, pathloss, delay, and traffic outage, and provides new insights into real-world deployment scenarios, applications, management, and associated benefits of robust, provably secure, and efficient security and privacy schemes for massive MIMO wireless communication networks. To aid in reader comprehension, this book includes a glossary of terms, resources for further reading via a detailed bibliography, and useful figures and summary tables throughout. With contributions from industry experts and researchers across the world and edited by two leaders in the field, Massive MIMO for Future Wireless Communication Systems includes information on: Massive MIMO for Future Wireless Communication Systems is an essential resource on the subject for industry and academic researchers, advanced students, scientists, and engineers in the fields of MIMO, antennas, sensing and channel measurements, and modeling technologies.
About the Editors xvii List of Contributors xix Preface xxv Acknowledgments xxxi 1 Fundamentals of Wireless Communications: Massive MIMO Essentials for 6G and Beyond 1 1.1 Introduction 1 1.2 Digital and Analog Sources 4 1.3 Deterministic and Random Waveforms 5 1.4 Propagation of Electromagnetic Waves 6 1.5 Information Measures 7 1.6 Channel and Information 8 1.7 Modulation and Demodulation 9 1.8 Massive MIMO 11 1.9 Security and Privacy of Wireless Systems 15 1.10 Conclusion 18 References 18 2 Security and Privacy of Future Wireless Communication Systems 23 2.1 Introduction 23 2.2 Overview of the Current State of Massive MIMO Wireless Communication Systems 25 2.3 Related Reviews 30 2.4 Security and Privacy Challenges of Future Wireless Communication Systems 35 2.5 Physical Layer Security and Technologies for Massive MIMO 39 2.6 Privacy-Enhancing Technologies 44 2.7 Emerging Technologies 46 2.8 Potential Threats and Challenges of Future Wireless Communication Systems 47 2.9 Open Research Issues and the Future of Security and Privacy 48 2.10 Limitations of the Study 50 2.11 Lessons Learned 50 2.12 Conclusion and Future Scope 51 References 52 3 Applications of Massive MIMO in Wireless Communication Systems 59 3.1 Introduction 59 3.2 Evolution from MIMO to Massive MIMO and Role in 5G 61 3.3 Related Works 64 3.4 Fundamental Limits 67 3.5 Benefits of Massive MIMO for 6G and Beyond 74 3.6 Design and Implementation Challenges for Massive MIMO in 6G 76 3.7 Enabling Technologies for Massive MIMO in 6G 77 3.8 Applications of Massive MIMO in Wireless Communication Systems 79 3.9 Recent Advances and Future Outlook for Massive MIMO in 6G 84 3.10 Limitations of the Study 87 3.11 Lessons Learned 88 3.12 Conclusion and Future Scope 89 References 90 4 Cell-Free Massive MIMO Technology and Applications in 6G 95 4.1 Introduction 95 4.2 Conventional Cell-Free mMIMO Systems 99 4.3 Scalable User-Centric Cell-Free mMIMO Systems 107 4.4 Radio Stripes Cell-Free Systems 113 4.5 Conclusions and Future Work 116 Acknowledgment 117 References 117 5 Localization in Massive MIMO Networks: From Far-Field to Near-Field 123 5.1 Introduction 123 5.2 Far-Field DoA Estimation 125 5.3 Near-Field DoA and Range Estimation 135 5.4 Conclusions 146 References 148 6 Energy-Efficient Uplink Transmission in RIS-Aided M-MIMO IoT Systems 151 6.1 Introduction 151 6.2 Related Works 157 6.3 System Model for RIS-Aided M-MIMO 160 6.4 Definitions on Riemannian Manifolds 166 6.5 Energy-Efficient Uplink Transmission in RIS M-MIMO IoT Systems 168 6.6 Conclusion and Research Directions 183 References 184 7 Energy Efficiency in RIS-Aided Massive MIMO and XL-MIMO Communication Systems 189 7.1 Introduction 189 7.2 General System Model for RIS-Aided M-MIMO 201 7.3 Energy Efficiency in RIS-Aided M-MIMO 212 7.4 Energy Efficiency in Demand-Adaptive XL-MIMO Systems 232 7.5 Conclusions and Perspective 244 References 247 8 NOMA-Aided Massive MIMO for Next-Generation Networks 251 8.1 Introduction 251 8.2 Related Work 254 8.3 System Model 262 8.4 Simulations and Discussions 267 8.5 Conclusion 275 References 275 9 Efficient Hybrid Precoding for Millimeter-Wave Massive MIMO-NOMA Systems: A Low-Complexity Approach 281 9.1 Introduction 281 9.2 Overview of Basic Precoding Scheme 284 9.3 Related Work 289 9.4 Mathematical Model 294 9.5 Results 296 9.6 Challenges of Hybrid Precoding and Future Research Scope 299 9.7 Conclusion 300 References 301 10 Intelligent Reflecting Surfaces and Next-Generation Wireless Systems 309 10.1 Introduction 309 10.2 Related Work 313 10.3 Intelligent Reflecting Surfaces Hardware and Architectures 314 10.4 Intelligent Reflecting Surfaces and the Path Loss Model 317 10.5 IRS-Empowered Slot Scheduling and Cost-Efficient Reflection Optimization 320 10.6 Two-Timescale Reflection Pattern Design 328 10.7 Results and Discussions 336 10.8 Conclusion 340 10.9 Future Work 341 References 341 11 ABER Performance Evaluation of RIS-Aided Millimeter Wave Massive MIMO System Under 3GPP 5G Channels 347 11.1 Introduction 347 11.2 Related Work 353 11.3 System Model 356 11.4 Channel Model 358 11.5 Simulations and Discussions 360 11.6 Conclusions 365 References 366 12 Massive MIMO for Non-terrestrial Wireless Communication Systems 371 12.1 Introduction 371 12.2 The Role of Satellites in Future Non-terrestrial Networks 376 12.3 Signal Processing for Non-terrestrial Network-Based Massive MIMO Systems 381 12.4 Single-Cell Massive MIMO Linear Precoding Techniques 385 12.5 Multi-cell Massive MIMO Linear Precoding Techniques 388 12.6 Security Considerations in a Non-terrestrial Network 392 12.7 Standards and Interoperability Requirements in a Non-terrestrial Network 395 12.8 Conclusion and Recommendations 399 References 400 13 Artificial Intelligence and Machine Learning for Channel Estimation in Massive MIMO Wireless Communication Systems 403 13.1 Introduction 403 13.2 Related Work 406 13.3 Channel Estimation Using LS and MMSE Estimators 410 13.5 FL in Cell-Free Massive MIMO: An Overview 429 13.6 Protection of Privacy of User Data in Cell-Free Massive MIMO Using FL 431 13.7 Results and Discussions 432 13.8 Conclusions 437 References 437 Index 441
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Subject Areas: Electronics & communications engineering [TJ]
