Digital twin of wireless systems: Overview, taxonomy, challenges, and opportunities

LU Khan, Z Han, W Saad, E Hossain… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Future wireless services will focus on improving the quality of life by enabling various
applications, such as extended reality, brain-computer interaction, and healthcare. These …

Split computing and early exiting for deep learning applications: Survey and research challenges

Y Matsubara, M Levorato, F Restuccia - ACM Computing Surveys, 2022 - dl.acm.org
Mobile devices such as smartphones and autonomous vehicles increasingly rely on deep
neural networks (DNNs) to execute complex inference tasks such as image classification …

Machine learning in the air

D Gündüz, P de Kerret, ND Sidiropoulos… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Thanks to the recent advances in processing speed, data acquisition and storage, machine
learning (ML) is penetrating every facet of our lives, and transforming research in many …

[HTML][HTML] Survey on recent advances in IoT application layer protocols and machine learning scope for research directions

PK Donta, SN Srirama, T Amgoth… - Digital Communications …, 2022 - Elsevier
Abstract The Internet of Things (IoT) has been growing over the past few years due to its
flexibility and ease of use in real-time applications. The IoT's foremost task is ensuring that …

Exposing the fingerprint: Dissecting the impact of the wireless channel on radio fingerprinting

A Al-Shawabka, F Restuccia, S D'Oro… - … -IEEE Conference on …, 2020 - ieeexplore.ieee.org
Radio fingerprinting uniquely identifies wireless devices by leveraging tiny hardware-level
imperfections inevitably present in off-the-shelf radio circuitry. This way, devices can be …

How Machine Learning changes the nature of cyberattacks on IoT networks: A survey

E Bout, V Loscri, A Gallais - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has continued gaining in popularity and importance in everyday
life in recent years. However, this development does not only present advantages. Indeed …

Challenges and recommended technologies for the industrial internet of things: A comprehensive review

M Younan, EH Houssein, M Elhoseny, AA Ali - Measurement, 2020 - Elsevier
Physical world integration with cyber world opens the opportunity of creating smart
environments; this new paradigm is called the Internet of Things (IoT). Communication …

Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

Artificial intelligence for satellite communication: A review

F Fourati, MS Alouini - Intelligent and Converged Networks, 2021 - ieeexplore.ieee.org
Satellite communication offers the prospect of service continuity over uncovered and under-
covered areas, service ubiquity, and service scalability. However, several challenges must …

A survey on machine learning in Internet of Things: Algorithms, strategies, and applications

S Messaoud, A Bradai, SHR Bukhari, PTA Quang… - Internet of Things, 2020 - Elsevier
In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …