Non-Fiction Books:

Network Slicing for Future Wireless Communication

Theory and Application
Click to share your rating 0 ratings (0.0/5.0 average) Thanks for your vote!

Format:

Hardback
$393.00
Releases

Pre-order to reserve stock from our first shipment. Your credit card will not be charged until your order is ready to ship.

Available for pre-order now
Free Delivery with Primate
Join Now

Free 14 day free trial, cancel anytime.

Buy Now, Pay Later with:

4 payments of $98.25 with Afterpay Learn more

6 weekly interest-free payments of $65.50 with Laybuy Learn more

Pre-order Price Guarantee

If you pre-order an item and the price drops before the release date, you'll pay the lowest price. This happens automatically when you pre-order and pay by credit card or pickup.

If paying by PayPal, Afterpay, Laybuy, Zip, Klarna, POLi, Online EFTPOS or internet banking, and the price drops after you have paid, you can ask for the difference to be refunded.

If Mighty Ape's price changes before release, you'll pay the lowest price.

Availability

This product will be released on

Delivering to:

It should arrive:

  • 24 Jun - 1 Jul using International Courier

Description

This book comprehensively discusses the development, application and challenges of network slicing technology in wireless communications. Starting with the basic concept and enabling technologies of network slicing, this book introduces how to integrate AI (Artificial Intelligence) technology into the end-to-end deployment, resource allocation and performance enhancement for multi-tenant slicing. An in-depth exploration of managing multi-domain slices deployed in the federated infrastructure networks is presented, including on-demand cooperation among multiple infrastructure networks, distinct slice deployment, hierarchical slice orchestration and fast slice adaption. As a guide to leveraging AI to enhance traffic performance of multi-tenant slicing and customize resource slicing for industrial scenarios, this book provides insights, modeling, applications and research issues. A holistic perspective on prominent role of network slicing in managing wireless network resources is provided as well. Overall, network slicing as a key technology of wireless networks, enables to satisfy differentiated service demands of multiple tenants from vertical industries with the same shared physical infrastructure network. As future wireless networks are expected to facilitate the evolution of vertical industries, various vertical enterprises as tenants require an intelligent network slicing paradigm to provide highly customizable services. AI-based management system for network slicing excel at deploying slices rapidly, allocating resources efficiently and avoiding service quality degradation. With the increasing diversity of service demands and complexity of communication environment, incorporating AI into network slicing is a necessity for improving flexibility and automation of resource management. This book targets advanced-level students in information and communication sciences as a secondary textbook. Researchers and industry professionals working in various areas, such as wireless communication systems, network management and orchestration, resource allocation and AI-enabled wireless networks will also find this book useful as reference book.

Author Biography:

Wanqing Guan received the Ph.D in Beijing University of Posts and Telecommunications in 2019. She is currently a lecture of University of Science and Technology Beijing (USTB), China. Her current research interests include B5G/6G networks, radio resource allocation, network slicing, application of machine learning in wireless communication. Haijun Zhang was a Post-Doctoral Research Fellow with the Department of Electrical and Computer Engineering, The University of British Columbia (UBC), Canada. He is currently a Full Professor with the University of Science and Technology Beijing, China. He received the IEEE CSIM Technical Committee Best Journal Paper Award in 2018, the IEEE ComSoc Young Author Best Paper Award in 2017, and the IEEE ComSoc Asia–Pacific Best Young Researcher Award in 2019.
Release date NZ
June 17th, 2024
Pages
116
Audience
  • Professional & Vocational
Illustrations
31 Illustrations, color; 4 Illustrations, black and white; X, 240 p. 30 illus.
ISBN-13
9783031582288
Product ID
38747791

Customer previews

Nobody has previewed this product yet. You could be the first!

Write a Preview

Help & options

Filed under...