Massive MIMO for Future Wireless Communication Systems
eBook - PDF

Massive MIMO for Future Wireless Communication Systems

Technology and Applications

  1. 483 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Massive MIMO for Future Wireless Communication Systems

Technology and Applications

About this book

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:

  • Signal processing algorithms for cell-free massive MIMO systems and advanced mathematical tools to analyze multiuser dynamics in wireless channels
  • Bit error rate (BER) performance comparisons of different detectors in conventional cell-free massive MIMO systems
  • Enhancement of massive MIMO using deep learning-based channel estimation and cell-free massive MIMO for wireless federated learning
  • Low-complexity, self-organizing, and energy-efficient massive MIMO architectures, including the prospects and challenges of Terahertz MIMO systems

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.

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Yes, you can access Massive MIMO for Future Wireless Communication Systems by Webert Montlouis,Agbotiname Lucky Imoize in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. About the Editors
  6. List of Contributors
  7. Preface
  8. Acknowledgments
  9. Chapter 1 Fundamentals of Wireless Communications: Massive MIMO Essentials for 6G and Beyond
  10. Chapter 2 Security and Privacy of Future Wireless Communication Systems
  11. Chapter 3 Applications of Massive MIMO in Wireless Communication Systems
  12. Chapter 4 Cell‐Free Massive MIMO Technology and Applications in 6G
  13. Chapter 5 Localization in Massive MIMO Networks: From Far‐Field to Near‐Field
  14. Chapter 6 Energy‐Efficient Uplink Transmission in RIS‐Aided M‐MIMO IoT Systems*
  15. Chapter 7 Energy Efficiency in RIS‐Aided Massive MIMO and XL‐MIMO Communication Systems
  16. Chapter 8 NOMA‐Aided Massive MIMO for Next‐Generation Networks
  17. Chapter 9 Efficient Hybrid Precoding for Millimeter‐Wave Massive MIMO‐NOMA Systems: A Low‐Complexity Approach
  18. Chapter 10 Intelligent Reflecting Surfaces and Next‐Generation Wireless Systems
  19. Chapter 11 ABER Performance Evaluation of RIS‐Aided Millimeter Wave Massive MIMO System Under 3GPP 5G Channels
  20. Chapter 12 Massive MIMO for Non‐terrestrial Wireless Communication Systems
  21. Chapter 13 Artificial Intelligence and Machine Learning for Channel Estimation in Massive MIMO Wireless Communication Systems
  22. Index
  23. EULA