The future of healthcare internet of things: a survey of emerging technologies

YA Qadri, A Nauman, YB Zikria… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The impact of the Internet of Things (IoT) on the advancement of the healthcare industry is
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …

Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future

SJ Nawaz, SK Sharma, S Wyne, MN Patwary… - IEEE …, 2019 - ieeexplore.ieee.org
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …

Communications in the 6G era

H Viswanathan, PE Mogensen - IEEE access, 2020 - ieeexplore.ieee.org
The focus of wireless research is increasingly shifting toward 6G as 5G deployments get
underway. At this juncture, it is essential to establish a vision of future communications to …

A survey of 5G network systems: challenges and machine learning approaches

H Fourati, R Maaloul, L Chaari - International Journal of Machine Learning …, 2021 - Springer
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …

Distributed Q-learning aided heterogeneous network association for energy-efficient IIoT

J Wang, C Jiang, K Zhang, X Hou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To achieve the goal of “Industrial 4.0,” cellular network with wide coverage has gradually
become an intensely important carrier for industrial Internet of Things (IIoT). The fifth …

Quality of experience for streaming services: measurements, challenges and insights

K Bouraqia, E Sabir, M Sadik, L Ladid - IEEE Access, 2020 - ieeexplore.ieee.org
Over the last few years, the evolution of network and user handsets' technologies, have
challenged the telecom industry and the Internet ecosystem. Especially, the unprecedented …

[HTML][HTML] Routing schemes in FANETs: A survey

MF Khan, KLA Yau, RM Noor, MA Imran - Sensors, 2019 - mdpi.com
Flying ad hoc network (FANET) is a self-organizing wireless network that enables
inexpensive, flexible, and easy-to-deploy flying nodes, such as unmanned aerial vehicles …

Reinforcement-learning-and belief-learning-based double auction mechanism for edge computing resource allocation

Q Li, H Yao, T Mai, C Jiang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
In recent years, we have witnessed the compelling application of the Internet of Things (IoT)
in our daily life, ranging from daily living to industrial production. On account of the …

Improved de-multipath neural network models with self-paced feature-to-feature learning for DOA estimation in multipath environment

H Xiang, B Chen, T Yang, D Liu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
When the elevation of target is smaller than a beamwidth, the complex multipath signals will
distort the feature of direct signal reflected from target. The elevation of target can hardly be …

Predicting the path loss of wireless channel models using machine learning techniques in mmwave urban communications

S Aldossari, KC Chen - 2019 22nd International Symposium on …, 2019 - ieeexplore.ieee.org
The classic wireless communication channel modeling is performed using Deterministic and
Stochastic channel methodologies. Machine learning (ML) emerges to revolutionize system …