This comprehensive guide to the emerging areas and synergistic relationships among the domains of 6G, Machine Learning, and embedded systems offers readers a detailed analysis of their converging paths and contributions to the development of intelligent wireless systems. Readers will gain a solid understanding of the principles and technologies behind 6G, Machine Learning, and embedded systems. They will learn how these three areas intertwine and why this intersection is pivotal for the next generation of wireless technologies. The contributors to this volume present a thorough and detailed analysis of this technology, highlighting its promising features, underlying technologies, and potential applications. The book first explores various applications of Machine Learning algorithms in areas such as network optimization, resource allocation, interference management, and intelligent data processing and analysis. This book is a valuable resource for academic researchers and industry professionals working in the fields of wireless communication, Machine Learning, embedded systems, and Artificial Intelligence.

The Intersection of 6G, AI Machine Learning, and Embedded Systems: Pioneering Intelligent Wireless Technologies PDF

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