Название: Massive MIMO for Future Wireless Communication Systems: Technology and Applications
Автор: Webert Montlouis, Agbotiname Lucky Imoize
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 473
Язык: английский
Формат: pdf (true), epub
Размер: 33.6 MB

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

The book is structured into 13 chapters collected from industry experts and world-class academic researchers, resulting in diverse and high-quality work for the readers.

Chapter 1 provides introduction to massive MIMO for future wireless communication systems. Starting with the fundamentals of wireless communications and providing background information to facilitate understanding the book. The chapter examines how wireless communication has revolutionized the way we interact with technology, enabling seamless connectivity and communication between devices and networks without needing physical cables. As technology has advanced, each generation of wireless communication has brought significant improvements, leading us to the era of 5G and the promise of even more transformative advancements in the future with 6G and beyond.

Chapter 2 examines the security and privacy of future wireless communication systems. The chapter summarizes the proliferating security vulnerability issues in wireless networks. Key challenges, including evolving security threats, massive MIMO security issues, and privacy risks from advanced data collection, are highlighted. Physical layer security methodologies, access control, monitoring tools, and privacy technologies are proposed as viable solutions.
...
Chapter 13 integrates Artificial Intelligence and Machine Learning for channel estimation in massive MIMO wireless communication systems. Specifically, the chapter presents a comprehensive review of least squares (LS)- and minimum mean square error (MMSE)-based channel estimation in wireless communication systems, starting from single-input single-output (SISO) to massive MIMO in both flat and frequency-selective fading environments.

The book is an ideal reference to practitioners, industry and academic researchers, scientists, and engineers in the fields of wireless communications and networking, signal processing, 5G and 6G networks, massive MIMO standardization, antennas design, sensing and localization, channel modeling and measurement, Artificial Intelligence, Machine Learning, Federated Learning, terrestrial and non-terrestrial applications, security and privacy, and others. Also, the textbook is suitable for graduate and senior undergraduate courses in wireless communications and related fields.






ОТСУТСТВУЕТ ССЫЛКА/ НЕ РАБОЧАЯ ССЫЛКА ЕСТЬ РЕШЕНИЕ, ПИШИМ СЮДА!




[related-news] [/related-news]