Wireless Communications and Machine Learning (Hardcover) (ISBN-13: 9781009232203)

This focused textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications, providing students with a deep and insightful understanding of this emerging field. It introduces students to a broad array of ML tools for effective wireless system design, and supports them in exploring ways in which future wireless networks can be designed to enable more effective deployment of federated and distributed learning techniques to enable AI systems. Requiring no previous knowledge of ML, this accessible introduction includes over 20 worked examples demonstrating the use of theoretical principles to address real-world challenges, and over 100 end-of-chapter exercises to cement student understanding, including hands-on computational exercises using Python. Accompanied by code supplements and solutions for instructors, this is the ideal textbook for a single-semester senior undergraduate or graduate course for students in electrical engineering, and an invaluable reference for academic researchers and professional engineers in wireless communications.

Author: Le Liang, Shi Jin, Hao Ye
ISBN-10: 1009232207
ISBN-13: 9781009232203
Publisher: Cambridge University Press
Language: English
Published: 07/03/2025
Pages: 306
Format: Hardcover
Weight: 1.65lbs
Size: 10.00h x 7.00w x 0.75d