Spectrum sensing for cognitive radio: Recent advances and future challenge
Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …
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 …
covered areas, service ubiquity, and service scalability. However, several challenges must …
Deep learning models for wireless signal classification with distributed low-cost spectrum sensors
This paper looks into the modulation classification problem for a distributed wireless
spectrum sensing network. First, a new data-driven model for automatic modulation …
spectrum sensing network. First, a new data-driven model for automatic modulation …
A survey on machine-learning techniques in cognitive radios
In this survey paper, we characterize the learning problem in cognitive radios (CRs) and
state the importance of artificial intelligence in achieving real cognitive communications …
state the importance of artificial intelligence in achieving real cognitive communications …
Spectrum sensing for cognitive radio: State-of-the-art and recent advances
The ever-increasing demand for higher data rates in wireless communications in the face of
limited or underutilized spectral resources has motivated the introduction of cognitive radio …
limited or underutilized spectral resources has motivated the introduction of cognitive radio …
Cyclostationarity: Half a century of research
In this paper, a concise survey of the literature on cyclostationarity is presented and includes
an extensive bibliography. The literature in all languages, in which a substantial amount of …
an extensive bibliography. The literature in all languages, in which a substantial amount of …
Application of compressive sensing in cognitive radio communications: A survey
Compressive sensing (CS) has received much attention in several fields such as digital
image processing, wireless channel estimation, radar imaging, and cognitive radio (CR) …
image processing, wireless channel estimation, radar imaging, and cognitive radio (CR) …
Signal processing in cognitive radio
Cognitive radio allows for usage of licensed frequency bands by unlicensed users.
However, these unlicensed (cognitive) users need to monitor the spectrum continuously to …
However, these unlicensed (cognitive) users need to monitor the spectrum continuously to …
Cyclostationarity: New trends and applications
A Napolitano - Signal processing, 2016 - Elsevier
A concise survey of the literature on cyclostationarity of the last 10 years is presented and an
extensive bibliography included. The problems of statistical function estimation, signal …
extensive bibliography included. The problems of statistical function estimation, signal …
Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence
The development of a reliable and automated condition monitoring methodology for the
detection of mechanical failures in rotating machinery has garnered much interest in recent …
detection of mechanical failures in rotating machinery has garnered much interest in recent …