Intelligent radio signal processing: A survey
Intelligent signal processing for wireless communications is a vital task in modern wireless
systems, but it faces new challenges because of network heterogeneity, diverse service …
systems, but it faces new challenges because of network heterogeneity, diverse service …
Modulation recognition using signal enhancement and multistage attention mechanism
Robustness against noise is critical for modulation recognition (MR) approaches deployed
in real-world communication systems. In MR systems, a corrupted signal is normally …
in real-world communication systems. In MR systems, a corrupted signal is normally …
Artificial intelligence for radio communication context-awareness
This paper surveys Artificial Intelligence (AI) methods for acquiring and managing context-of-
operation awareness of radio communication nodes, links, and networks. The meaning and …
operation awareness of radio communication nodes, links, and networks. The meaning and …
Learning the unknown: Improving modulation classification performance in unseen scenarios
Automatic Modulation Classification (AMC) is significant for the practical support of a
plethora of emerging spectrum applications, such as Dynamic Spectrum Access (DSA) in 5G …
plethora of emerging spectrum applications, such as Dynamic Spectrum Access (DSA) in 5G …
Efficient convolutional networks for robust automatic modulation classification in OFDM-based wireless systems
Orthogonal frequency-division multiplexing (OFDM) is commonly deployed in Internet of
Things (IoT) systems to achieve high data rates with reasonable complexity, where …
Things (IoT) systems to achieve high data rates with reasonable complexity, where …
VIA: Establishing the link between spectrum sensor capabilities and data analytics performance
K Doke, B Okoro, A Zare… - IEEE INFOCOM 2024 …, 2024 - ieeexplore.ieee.org
Automated spectrum analytics inform critical decisions in dynamic spectrum access
networks such as (i) how to allocate network resources to clients,(ii) when to enforce …
networks such as (i) how to allocate network resources to clients,(ii) when to enforce …
Can you fix my neural network? Real-time adaptive waveform synthesis for resilient wireless signal classification
Due to the sheer scale of the Internet of Things (IoT) and 5G, the wireless spectrum is
becoming severely congested. For this reason, wireless devices will need to continuously …
becoming severely congested. For this reason, wireless devices will need to continuously …
Polymorf: Polymorphic wireless receivers through physical-layer deep learning
F Restuccia, T Melodia - Proceedings of the Twenty-First International …, 2020 - dl.acm.org
Today's wireless technologies are largely based on inflexible designs, which makes them
inefficient and prone to a variety of wireless attacks. To address this key issue, wireless …
inefficient and prone to a variety of wireless attacks. To address this key issue, wireless …
Circumventing the defense against modulation classification attacks
Modulation classification (MC) has a wide range of applications in spectrum sharing,
management, and enforcement and can also be used by an adversary to launch traffic …
management, and enforcement and can also be used by an adversary to launch traffic …
Deep Learning Models as Moving Targets to Counter Modulation Classification Attacks
Malicious entities abuse advanced modulation classification (MC) techniques to launch
traffic analysis, selective jamming, evasion, and poison attacks. Recent studies show that …
traffic analysis, selective jamming, evasion, and poison attacks. Recent studies show that …