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 …

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 …

Machine learning in the Internet of Things: Designed techniques for smart cities

IU Din, M Guizani, JJPC Rodrigues, S Hassan… - Future Generation …, 2019 - Elsevier
Abstract Machine learning is one of the emerging technologies that has grabbed the
attention of academicians and industrialists, and is expected to evolve in the near future …

Deep learning for intelligent IoT: Opportunities, challenges and solutions

YB Zikria, MK Afzal, SW Kim, A Marin… - Computer …, 2020 - Elsevier
Next-generation wireless networks have to be robust and self-sustained. Internet of things
(IoT) is reshaping the technological adaptation in the daily life of human beings. IoT …

Recent advances in artificial intelligence for wireless internet of things and cyber–physical systems: A comprehensive survey

BA Salau, A Rawal, DB Rawat - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Advances in artificial intelligence (AI) and wireless technology are driving forward the large
deployment of interconnected smart technologies that constitute cyber–physical systems …

Artificial neural networks-based machine learning for wireless networks: A tutorial

M Chen, U Challita, W Saad, C Yin… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …

Artificial intelligence enabled Internet of Things: Network architecture and spectrum access

H Song, J Bai, Y Yi, J Wu, L Liu - IEEE Computational …, 2020 - ieeexplore.ieee.org
The explosive growth of wireless devices motivates the development of the internet-of-things
(IoT), which is capable of interconnecting massive and diverse" things" via wireless …

When machine learning meets big data: A wireless communication perspective

Y Liu, S Bi, Z Shi, L Hanzo - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
We have witnessed an exponential growth in commercial data services, which has led to the
so-called big data era. Machine learning, one of the most promising artificial intelligence (AI) …

Toward an intelligent edge: Wireless communication meets machine learning

G Zhu, D Liu, Y Du, C You, J Zhang… - IEEE communications …, 2020 - ieeexplore.ieee.org
The recent revival of AI is revolutionizing almost every branch of science and technology.
Given the ubiquitous smart mobile gadgets and IoT devices, it is expected that a majority of …

Intelligent IoT connectivity: Deep reinforcement learning approach

M Kwon, J Lee, H Park - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
In this paper, we propose a distributed solution to design a multi-hop ad hoc Internet of
Things (IoT) network where mobile IoT devices strategically determine their wireless …