A survey on beyond 5G network with the advent of 6G: Architecture and emerging technologies

A Dogra, RK Jha, S Jain - IEEE access, 2020 - ieeexplore.ieee.org
Nowadays, 5G is in its initial phase of commercialization. The 5G network will revolutionize
the existing wireless network with its enhanced capabilities and novel features. 5G New …

Physical layer authentication in wireless networks-based machine learning approaches

L Alhoraibi, D Alghazzawi, R Alhebshi, OBJ Rabie - Sensors, 2023 - mdpi.com
The physical layer security of wireless networks is becoming increasingly important because
of the rapid development of wireless communications and the increasing security threats. In …

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 …

RF impairments in wireless transceivers: Phase noise, CFO, and IQ imbalance–A survey

A Mohammadian, C Tellambura - IEEE access, 2021 - ieeexplore.ieee.org
Wireless transceivers for mass-market applications must be cost effective. We may achieve
this goal by deploying non-ideal low-cost radio frequency (RF) analog components …

SR2CNN: Zero-shot learning for signal recognition

Y Dong, X Jiang, H Zhou, Y Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Signal recognition is one of the significant and challenging tasks in the signal processing
and communications field. It is often a common situation that there's no training data …

Groundwork for neural network-based specific emitter identification authentication for IoT

JM McGinthy, LJ Wong… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Trust is a prominent concern with the continued expansion of the Internet of Things (IoT). As
new devices enter the market, device security must be a design pillar. In order to trust these …

SSRCNN: A semi-supervised learning framework for signal recognition

Y Dong, X Jiang, L Cheng, Q Shi - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to the emergence of deep learning, signal recognition has made great strides in
performance improvement. The success of most deep learning methods relies on the …

Location-invariant physical layer identification approach for WiFi devices

G Li, J Yu, Y Xing, A Hu - Ieee Access, 2019 - ieeexplore.ieee.org
Recently, Radio Frequency Fingerprinting (RFF) becomes a promising technique which
augments existing multifactor authentication schemes at the device level to counter forgery …

A method for radar model identification using time-domain transient signals

S Guo, S Akhtar, A Mella - IEEE Transactions on Aerospace …, 2021 - ieeexplore.ieee.org
Radar specific emitter identification (SEI) is the process of uniquely identifying an individual
emitter from the same class of radars by their individual properties that arise from hardware …

Variable-modulation specific emitter identification with domain adaptation

X Zhang, T Li, P Gong, X Zha… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Specific emitter identification (SEI) is a technique of identifying individual emitters via unique
characteristics of different emitters. In this paper, we consider a SEI problem with transmitter …