null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Distributed Artificial Intelligence for 5G/6G Communications (Frameworks with Machine Learning)

List Price: $73.99
SKU:
9781032744360
Quantity:
Minimum Purchase
25 unit(s)
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    Iacovos Ioannou, Prabagarane Nagaradjane, Vasos Vassiliou, Andreas Pitsillides, Christophoros Christophorou
    Format:
    Paperback
    Pages:
    260
    Publisher:
    CRC Press (July 19, 2026)
    Imprint:
    CRC Press
    Language:
    English
    Audience:
    College/higher education
    ISBN-13:
    9781032744360
    Weight:
    17oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260911042558718-20260911.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $73.99
    Country of Origin:
    United States
    Pub Discount:
    30
    As low as:
    $70.29
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
  • Overview

    The aim of this book is to delineate the challenges faced by new generation mobile networks, such as 5G and forthcoming 6G, and introduce the concept of addressing these challenges through the development of a novel Distributed AI (DAI) framework. The book proposes a distributed AI approach to handle these complexities effectively.