Reprint

Machine Learning in Communication Systems and Networks

Edited by
April 2024
398 pages
  • ISBN978-3-7258-0725-3 (Hardback)
  • ISBN978-3-7258-0726-0 (PDF)

This is a Reprint of the Topic that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Biology & Life Sciences
Computer Science & Mathematics
Physical Sciences
Summary

Recent advances in machine learning, coupled with the availability of powerful computing platforms, have garnered significant attention from academic, research, and industry communities. Machine learning is considered a promising tool to tackle the challenge posed by increasingly complex, heterogeneous, and dynamic communication environments. It holds the potential to contribute to the intelligent management and optimization of communication systems and networks by enabling us to predict changes, find patterns of uncertainties in the communication environment, and make data-driven decisions. This Topic seeks to explore the intersection of machine learning and communication research, showcasing a compilation of cutting-edge contributions which underscore the transformative potential of machine learning as a driving force behind adaptive and intelligent communication.

Related Books

September 2022

Information Theory and Machine Learning

Computer Science & Mathematics
...
August 2023

Advanced Machine Learning Applications in Big Data Analytics

Social Sciences, Arts & Humanities
...
December 2020

Machine Learning for Energy Systems

Engineering

The recommendations have been generated using an AI system.