Massive MIMO is a reality—What is next?: Five promising research directions for antenna arrays
Massive MIMO (multiple-input multiple-output) is no longer a “wild” or “promising” concept
for future cellular networks—in 2018 it became a reality. Base stations (BSs) with 64 fully …
for future cellular networks—in 2018 it became a reality. Base stations (BSs) with 64 fully …
A survey of physical-layer authentication in wireless communications
N Xie, Z Li, H Tan - IEEE Communications Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Authentication is an important issue in wireless communications because the open nature of
the wireless medium provides more security vulnerabilities. Recently, Physical-Layer …
the wireless medium provides more security vulnerabilities. Recently, Physical-Layer …
Towards scalable and channel-robust radio frequency fingerprint identification for LoRa
Radio frequency fingerprint identification (RFFI) is a promising device authentication
technique based on transmitter hardware impairments. The device-specific hardware …
technique based on transmitter hardware impairments. The device-specific hardware …
A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges
Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to
support disruptive applications such as extended reality (XR), augmented/virtual reality …
support disruptive applications such as extended reality (XR), augmented/virtual reality …
Overcoming data limitations: a few-shot specific emitter identification method using self-supervised learning and adversarial augmentation
Specific emitter identification (SEI) based on radio frequency fingerprinting (RFF) is a
physical layer authentication method in the field of wireless network security. RFFs are …
physical layer authentication method in the field of wireless network security. RFFs are …
Machine learning for the detection and identification of Internet of Things devices: A survey
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 …
variety of emerging services and applications. However, the presence of rogue IoT devices …
Radio frequency fingerprint identification for LoRa using deep learning
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique that relies on the intrinsic hardware characteristics of wireless devices. This paper …
technique that relies on the intrinsic hardware characteristics of wireless devices. This paper …
Exposing the fingerprint: Dissecting the impact of the wireless channel on radio fingerprinting
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 …
imperfections inevitably present in off-the-shelf radio circuitry. This way, devices can be …
Deep learning for RF fingerprinting: A massive experimental study
RF fingerprinting is a key security mechanism that allows device identification by learning
unchanging, hardware-based characteristics of the transmitter. In this article, we …
unchanging, hardware-based characteristics of the transmitter. In this article, we …
Semi-supervised specific emitter identification method using metric-adversarial training
Specific emitter identification (SEI) plays an increasingly crucial and potential role in both
military and civilian scenarios. It refers to a process to discriminate individual emitters from …
military and civilian scenarios. It refers to a process to discriminate individual emitters from …