TY - BOOK
T1 - Machine Learning in Communication Systems and Networks
A2 - Sun, Yichuang
A2 - Lee, Haeyoung
A2 - Simpson, Oluyomi
N1 - © 2024 The Author(s). Articles in this book are Open Access and distributed under the Creative CommonsAttribution (CC BY) license. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) license, https://creativecommons.org/licenses/by-nc-nd/4.0/
PY - 2024/4/18
Y1 - 2024/4/18
N2 - 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.
AB - 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.
KW - wireless communications
KW - Mobile communications
KW - Vehicular communication
KW - 5G/6G systems and networks
KW - Artificial intelligence
KW - Machine learning
KW - Deep Learning
U2 - 10.3390/books978-3-7258-0726-0
DO - 10.3390/books978-3-7258-0726-0
M3 - Book
SN - 978-3-7258-0725-3
BT - Machine Learning in Communication Systems and Networks
PB - MDPI Multidisciplinary Digital Publishing Institute
ER -