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 …

Machine learning techniques and a case study for intelligent wireless networks

H Yang, X Xie, M Kadoch - IEEE Network, 2020 - ieeexplore.ieee.org
With the widespread deployment of wireless technologies and IoT, 5G wireless networks will
support various communication connectivity and services for the huge number of wireless …

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 …

Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey

MS Frikha, SM Gammar, A Lahmadi… - Computer Communications, 2021 - Elsevier
Nowadays, many research studies and industrial investigations have allowed the integration
of the Internet of Things (IoT) in current and future networking applications by deploying a …

Joint network control and resource allocation for space-terrestrial integrated network through hierarchal deep actor-critic reinforcement learning

HA Shah, L Zhao, IM Kim - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Conventional approaches to network control and resource allocation by allocating dedicated
spectrum resources and separate infrastructure for massive Internet of Things (IoT) network …

Deep-reinforcement-learning-based spectrum resource management for industrial Internet of Things

Z Shi, X Xie, H Lu, H Yang, M Kadoch… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) has attracted tremendous interest from both industry
and academia as it can significantly improve production efficiency and system intelligence …

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 …

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 …

Intelligence in IoT-based 5G networks: Opportunities and challenges

N Javaid, A Sher, H Nasir… - IEEE Communications …, 2018 - ieeexplore.ieee.org
The requirement of high data rates, low latency, efficient use of spectrum, and coexistence of
different network technologies are major considerations in Internet of Things (IoT)-based fifth …

Machine intelligence techniques for next-generation context-aware wireless networks

TE Bogale, X Wang, LB Le - arXiv preprint arXiv:1801.04223, 2018 - arxiv.org
The next generation wireless networks (ie 5G and beyond), which would be extremely
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …