Machine Learning for Wireless Communication: Principles and Applications

By Dr Sanjay Agal

Machine Learning for Wireless Communication: Principles and Applications

Edited by Dr. Sanjay Agal

Unlock the future of connectivity where algorithms power intelligent communication systems. Machine Learning for Wireless Communication: Principles and Applications is your essential guide to the transformative synergy between machine learning and next-generation wireless technologies.

Whether you're a researcher, student, or industry professional, this comprehensive volume bridges the gap between theory and practical application. Covering foundational concepts-from supervised and unsupervised learning to deep learning and reinforcement learning-it progresses into real-world applications such as 5G/6G optimization, IoT integration, edge computing, and network security.

With clear explanations, illustrative case studies, and insights from seasoned educators and engineers, this book goes beyond technical depth to offer a strategic vision of how data-driven intelligence is reshaping wireless networks.

Step into a world where machines not only learn but anticipate, adapt, and revolutionize how we connect.

• Format: Hardcover
• Language: English
• ISBN: B0F4FH9TM8
• ISBN13: 9798899061080
• Release Date: April 2025
• Publisher: Notion Press
• Length: 310 Pages
• Weight: 2.83 lbs.
• Dimensions: 0.9" x 8.5" x 11.0"