Intelligent Communication Networks
eBook - ePub

Intelligent Communication Networks

Research and Applications

  1. 256 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Intelligent Communication Networks

Research and Applications

About this book

With the advent of Big Data, conventional communication networks are often limited in their inability to handle complex and voluminous data and information as far as effective processing, transmission, and reception are concerned. This book discusses the evolution of computational intelligence techniques in handling intelligent communication networks.

  • Provides a detailed theoretical foundation of machine learning and computational intelligence algorithms
  • Highlights the state of art machine learning-based solutions for communication networks
  • Presents video demonstrations and code snippets on each chapter for easy understanding of the concepts
  • Discusses applications including resource allocation, spectrum management, channel estimation, and physical layer of wireless networks
  • Demonstrates applications of machine learning techniques for optical networks

The text is primarily intended for senior undergraduate and graduate students and academic researchers in fields of electrical engineering, electronics and communication engineering, and computer engineering.

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Yes, you can access Intelligent Communication Networks by Rajarshi Mahapatra,Siddhartha Bhattacharyya,Avishek Nag in PDF and/or ePUB format, as well as other popular books in Computer Science & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. Preface
  8. Editors
  9. Contributors
  10. 1 Various Deep Learning-based Resource Allocation Techniques in Wireless Communication System
  11. 2 Federated Deep Reinforcement Learning-based Resource Allocation in Heterogeneous Networks
  12. 3 A Comprehensive Overview of Internet of Nano-Things (IoNT) in the Next-Generation Heterogeneous Networks: Deployment Aspects, Applications, and Challenges
  13. 4 Emerging World of the Metaverse: An Indian Perspective
  14. 5 Intelligent Optical Networks: Challenges, Opportunities, and Applications
  15. 6 Machine Learning for Non-Orthogonal Multiple Access
  16. 7 Compensating Inbound Signal Strength for Radio-Controlled Mobile Robots Using ANFIS
  17. 8 Optimizing Wireless Sensor Networks Using Machine Learning
  18. 9 Machine Learning-Assisted Interference Management in the 6G UAV Networks with Soft Frequency Reuse
  19. 10 Computational Intelligence in Communication Networks: Classification, Clustering, Reinforcement Learning, Deep Learning
  20. Index