Machine learning for future wireless communications

FL Luo - 2020 - books.google.com
A comprehensive review to the theory, application and research of machine learning for
future wireless communications In one single volume, Machine Learning for Future Wireless …

Machine learning and intelligent communications

XL Huang, X Ma, F Hu - Mobile Networks and Applications, 2018 - Springer
Along with the fast developing of mobile communications technologies, the amount of high
quality wireless services is required and increasing exponentially. According to the …

Machine learning paradigms for next-generation wireless networks

C Jiang, H Zhang, Y Ren, Z Han… - IEEE Wireless …, 2016 - ieeexplore.ieee.org
Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …

[图书][B] Machine learning and wireless communications

YC Eldar, A Goldsmith, D Gündüz, HV Poor - 2022 - books.google.com
How can machine learning help the design of future communication networks-and how can
future networks meet the demands of emerging machine learning applications? Discover the …

Application of machine learning in wireless networks: Key techniques and open issues

Y Sun, M Peng, Y Zhou, Y Huang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …

A study on the adoption of Wireless Communication in Big Data Analytics Using Neural Networks and Deep Learning

P Rohini, S Tripathi, CM Preeti… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The study explores about the Wireless communication which is one of the most rapidly
evolving and active technology fields in the communication world. Wireless communication …

Big data analytics, machine learning, and artificial intelligence in next-generation wireless networks

MG Kibria, K Nguyen, GP Villardi, O Zhao… - IEEE …, 2018 - ieeexplore.ieee.org
The next-generation wireless networks are evolving into very complex systems because of
the very diversified service requirements, heterogeneity in applications, devices, and …

Deep learning era for future 6G wireless communications—theory, applications, and challenges

SKB Sangeetha, R Dhaya - Artificial intelligent techniques for …, 2022 - Wiley Online Library
Over hundreds of years have passed since wireless communication technology was first
introduced. The developers have made remarkable strides since 1880, including setting up …

Machine learning for wireless communications in the Internet of Things: A comprehensive survey

J Jagannath, N Polosky, A Jagannath, F Restuccia… - Ad Hoc Networks, 2019 - Elsevier
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …

Wireless networks design in the era of deep learning: Model-based, AI-based, or both?

A Zappone, M Di Renzo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper deals with the use of emerging deep learning techniques in future wireless
communication networks. It will be shown that the data-driven approaches should not …