Skip to product information
1 of 1

Shulph Ink

Computational Intelligence in Recent Communication Networks

Computational Intelligence in Recent Communication Networks

💎 Earn 749 Points (£7.49) on this item.

Important: Dispatches within 2 to 4 weeks
Regular price £149.93 GBP
Regular price £179.99 GBP Sale price £149.93 GBP
Sale Sold out
Taxes included. Shipping calculated at checkout.

YOU SAVE £30.06

  • Condition: Brand new
  • UK Delivery times: Usually arrives within 2 - 3 working days
  • UK Shipping: Fee starts at £2.39. Subject to product weight & dimension

Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.

  • More about Computational Intelligence in Recent Communication Networks


This book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve communication network-related issues, including signal detection, channel modeling, resource optimization, routing protocol design, and more. It features solutions from a wide range of authors, including researchers, students, and industrials.

Format: Paperback / softback
Length: 273 pages
Publication date: 23 February 2023
Publisher: Springer Nature Switzerland AG


This comprehensive book delves into the realm of Artificial Intelligence and Machine Learning (AI/ML) based techniques, offering a comprehensive exploration of their applications in communication networks. It begins by providing an introduction to the latest trends and advancements in communication networks, setting the stage for the subsequent chapters. The authors then delve into the theoretical foundations of AI/ML, encompassing concepts such as neural networks, deep learning, and reinforcement learning.

The book proceeds to present a detailed overview of the techniques and protocols employed in various layers of communication networks, including the physical layer, data link layer, network layer, and transport layer. By employing AI/ML algorithms, it becomes possible to analyze complex patterns in user data, enabling organizations to enhance productivity and optimize their operations.

Throughout the book, practical AI/ML-based solutions are presented for a wide range of topics, including signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. Chapters authored by a diverse group of experts, including researchers, students, and industry professionals, contribute to the richness and depth of the content.

This book serves as a valuable resource for both researchers and practitioners seeking to leverage the power of AI/ML in the realm of communication networks. It provides a comprehensive roadmap for understanding and implementing AI/ML-based solutions, enabling organizations to stay ahead of the curve and reap the benefits of this rapidly evolving technology.

Weight: 444g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030771874
Edition number: 1st ed. 2022

This item can be found in:

UK and International shipping information

UK Delivery and returns information:

  • Delivery within 2 - 3 days when ordering in the UK.
  • Shipping fee for UK customers from £2.39. Fully tracked shipping service available.
  • Returns policy: Return within 30 days of receipt for full refund.

International deliveries:

Shulph Ink now ships to Australia, Belgium, Canada, France, Germany, Ireland, Italy, India, Luxembourg Saudi Arabia, Singapore, Spain, Netherlands, New Zealand, United Arab Emirates, United States of America.

  • Delivery times: within 5 - 10 days for international orders.
  • Shipping fee: charges vary for overseas orders. Only tracked services are available for most international orders. Some countries have untracked shipping options.
  • Customs charges: If ordering to addresses outside the United Kingdom, you may or may not incur additional customs and duties fees during local delivery.
View full details