Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges

F Hussain, SA Hassan, R Hussain… - … surveys & tutorials, 2020 - ieeexplore.ieee.org
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …

20 years of evolution from cognitive to intelligent communications

Z Qin, X Zhou, L Zhang, Y Gao… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
It has been 20 years since the concept of cognitive radio (CR) was proposed, which is an
efficient approach to provide more access opportunities to connect massive wireless …

Unmanned aerial vehicles (UAVs): A survey on civil applications and key research challenges

H Shakhatreh, AH Sawalmeh, A Al-Fuqaha, Z Dou… - Ieee …, 2019 - ieeexplore.ieee.org
The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil
application domains, including real-time monitoring, providing wireless coverage, remote …

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 …

Block5GIntell: Blockchain for AI-enabled 5G networks

A El Azzaoui, SK Singh, Y Pan, JH Park - IEEE Access, 2020 - ieeexplore.ieee.org
Nowadays, 5G network is considered to be one of the main pillars of various industries,
including the Internet of Things (IoT), smart cities, virtual reality, and many more. Unlike …

Mode selection and resource allocation in device-to-device communications: A matching game approach

SMA Kazmi, NH Tran, W Saad, Z Han… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Device to device (D2D) communication is considered as an effective technology for
enhancing the spectral efficiency and network throughput of existing cellular networks …

Multi-armed bandits with application to 5G small cells

S Maghsudi, E Hossain - IEEE Wireless Communications, 2016 - ieeexplore.ieee.org
Due to the pervasive demand for mobile services, next generation wireless networks are
expected to be able to deliver high data rates while wireless resources become more and …

Intelligent wireless communications enabled by cognitive radio and machine learning

X Zhou, M Sun, GY Li, BHF Juang - China Communications, 2018 - ieeexplore.ieee.org
The ability to intelligently utilize resources to meet the need of growing diversity in services
and user behavior marks the future of wireless communication systems. Intelligent wireless …

Machine learning for smart environments in B5G networks: Connectivity and QoS

SH Alsamhi, FA Almalki, H Al-Dois… - Computational …, 2021 - Wiley Online Library
The number of Internet of Things (IoT) devices to be connected via the Internet is
overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and …

Age-of-information aware scheduling for edge-assisted industrial wireless networks

M Li, C Chen, H Wu, X Guan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Industrial wireless networks (IWNs) have attracted significant attention for providing time-
critical delivery services, which can benefit from device-to-device (D2D) communication for …