Ten years of research in spectrum sensing and sharing in cognitive radio
Cognitive radio (CR) can successfully deal with the growing demand and scarcity of the
wireless spectrum. To exploit limited spectrum efficiently, CR technology allows unlicensed …
wireless spectrum. To exploit limited spectrum efficiently, CR technology allows unlicensed …
Deep neural networks for spectrum sensing: a review
As we advance towards 6G communication systems, the number of network devices
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …
A machine learning-enabled spectrum sensing method for OFDM systems
This paper addresses the spectrum sensing problem in an orthogonal frequency-division
multiplexing (OFDM) system based on machine learning. To adapt to signal-to-noise ratio …
multiplexing (OFDM) system based on machine learning. To adapt to signal-to-noise ratio …
A survey on machine learning algorithms for applications in cognitive radio networks
In this paper, we present a survey on the utility of machine learning (ML) algorithms for
applications in cognitive radio networks (CRN). We start with a high-level overview of some …
applications in cognitive radio networks (CRN). We start with a high-level overview of some …
A survey on the energy detection of OFDM signals with dynamic threshold adaptation: Open Issues and Future Challenges
Cognitive radio (CR), as a concept based on the ability to detect and share the unutilised
spectrum, has been envisioned as a promising candidate to improve the efficiency of …
spectrum, has been envisioned as a promising candidate to improve the efficiency of …
History based forward and feedback mechanism in cooperative spectrum sensing including malicious users in cognitive radio network
In cognitive radio communication, spectrum sensing plays a vital role in sensing the
existence of the primary user (PU). The sensing performance is badly affected by fading and …
existence of the primary user (PU). The sensing performance is badly affected by fading and …
Spectrum sensing for OFDM signals using pilot induced auto-correlations
Orthogonal frequency division multiplex (OFDM) has been widely used in various wireless
communications systems. Thus the detection of OFDM signals is of significant importance in …
communications systems. Thus the detection of OFDM signals is of significant importance in …
A review of the noise uncertainty impact on energy detection with different OFDM system designs
Cognitive radio networks (CRN) based on spectrum sensing represent intelligent wireless
communication technology dedicated to a more efficient exploitation of the available …
communication technology dedicated to a more efficient exploitation of the available …
A fast spectrum sensing for CP-OFDM cognitive radio based on adaptive thresholding
Recently, cyclostationarity (CS) based detection methods exploiting the autocorrelation
periodicity property of the orthogonal frequency division multiplexing (OFDM) signals …
periodicity property of the orthogonal frequency division multiplexing (OFDM) signals …
Spectrum sensing of OFDM signals over multipath fading channels and practical considerations for cognitive radios
WL Chin, CW Kao, Y Qian - IEEE Sensors Journal, 2016 - ieeexplore.ieee.org
Despite the promising role of orthogonal frequency-division multiplexing (OFDM) in
communication systems, the spectrum sensing of OFDM signals and its practical …
communication systems, the spectrum sensing of OFDM signals and its practical …