• Anglický jazyk

Machine Learning for Wireless Communication

Autor: Rohit M. Thanki

This book covers the basic principles of wireless communication while delving into the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning. The authors provide real-world examples... Viac o knihe

Na objednávku

49.49 €

bežná cena: 54.99 €

O knihe

This book covers the basic principles of wireless communication while delving into the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning. The authors provide real-world examples and case studies to illustrate the use of machine learning in wireless communication applications such as channel estimation, mobility prediction, resource allocation, and beamforming. This book is an essential resource for researchers, engineers, and students interested in understanding and applying machine learning techniques in the context of wireless communication systems.

In addition, this book:

  • Describes the significance of machine learning in wireless communication
  • Includes case studies in channel estimation, mobility prediction, resource allocation, and beamforming
  • Provides detail on various machine learning algorithms used for applications

Generuje redakčný systém BUXUS CMS spoločnosti ui42.