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 …

A new frontier for IoT security emerging from three decades of key generation relying on wireless channels

J Zhang, G Li, A Marshall, A Hu, L Hanzo - IEEE Access, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is a transformative technology, which is revolutionizing our
everyday life by connecting everyone and everything together. The massive number of …

Radio frequency fingerprint identification for narrowband systems, modelling and classification

J Zhang, R Woods, M Sandell… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Device authentication is essential for securing Internet of things. Radio frequency fingerprint
identification (RFFI) is an emerging technique that exploits intrinsic and unique hardware …

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 …

Radio frequency fingerprint identification for LoRa using deep learning

G Shen, J Zhang, A Marshall, L Peng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique that relies on the intrinsic hardware characteristics of wireless devices. This paper …

ORACLE: Optimized radio classification through convolutional neural networks

K Sankhe, M Belgiovine, F Zhou… - … -IEEE conference on …, 2019 - ieeexplore.ieee.org
This paper describes the architecture and performance of ORACLE, an approach for
detecting a unique radio from a large pool of bit-similar devices (same hardware, protocol …

Six key features of machine type communication in 6G

NH Mahmood, H Alves, OA López… - 2020 2nd 6G …, 2020 - ieeexplore.ieee.org
While 5G is being rolled out in different parts of the globe, several research groups around
the world have already started posing the question: What will the sixth generation (6G) be …

Machine learning for the detection and identification of Internet of Things devices: A survey

Y Liu, J Wang, J Li, S Niu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …

No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments

K Sankhe, M Belgiovine, F Zhou… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Due to the unprecedented scale of the Internet of Things, designing scalable, accurate,
energy-efficient and tamper-proof authentication mechanisms has now become more …

Behavioral modeling and linearization of wideband RF power amplifiers using BiLSTM networks for 5G wireless systems

J Sun, W Shi, Z Yang, J Yang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Characterization and linearization of RF power amplifiers (PAs) are key issues of fifth-
generation wireless communication systems, especially when high peak-to-average ratio …