One-Bit Spectrum Sensing in Cognitive Radio Sensor Networks
Sign Up to like & getrecommendations! Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01274-z
Abstract: This paper proposes a spectrum sensing algorithm from one-bit measurements in a cognitive radio sensor network. A likelihood ratio test (LRT) for the one-bit spectrum sensing problem is derived. Different from the one-bit spectrum sensing… read more here.
Keywords: bit spectrum; one bit; bit; spectrum sensing ... See more keywords
Cooperative spectrum sensing with incremental relaying
Sign Up to like & getrecommendations! Published in 2020 at "Telecommunication Systems"
DOI: 10.1007/s11235-019-00632-1
Abstract: In this article, we suggest a new Spectrum Sensing (SS) algorithm using Incremental Relaying (IR). In previous studies, the relays always cooperate in the SS process. However, sometimes the Signal to Noise Ratio (SNR) of… read more here.
Keywords: spectrum sensing; snr direct; direct link; incremental relaying ... See more keywords
Signal Cyclostationarity Detection Based Spectrum Sensing Using Simple Diversity Combining Technique and Its Implementation
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4210-7
Abstract: This paper presents a simple equal gain combining technique for cyclostationarity detection based spectrum sensing in cognitive radio networks. The presented technique is based on maximum cyclic autocorrelation function (MCAS) technique with a low computational… read more here.
Keywords: technique; based spectrum; spectrum sensing; cyclostationarity detection ... See more keywords
Blockchain-Based Security Enhancement and Spectrum Sensing in Cognitive Radio Network
Sign Up to like & getrecommendations! Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-08729-0
Abstract: In recent times, wireless communication systems have been considered by a fixed spectrum allocation policy, where administrative agencies provide wireless spectrum to licensees on a long-term basis for high geographical areas. Cognitive radio networks (CRN)… read more here.
Keywords: blockchain based; based security; spectrum; network ... See more keywords
GLRT-based spectrum sensing by exploiting Multitaper Spectral Estimation for cognitive radio network
Sign Up to like & getrecommendations! Published in 2020 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2020.102289
Abstract: Abstract Spectrum sensing is a key technique for future intelligent networks, such as AdHoc network, wireless sensor networks. However, the existing works suffer from high computational complexity, which is a huge challenge for those networks… read more here.
Keywords: multitaper spectral; network; spectrum sensing; spectral estimation ... See more keywords
Optimal sensing, fusion and transmission with primary user protection for energy-efficient cooperative spectrum sensing in CRNs
Sign Up to like & getrecommendations! Published in 2019 at "AEU - International Journal of Electronics and Communications"
DOI: 10.1016/j.aeue.2018.10.031
Abstract: Abstract In this paper, energy efficiency for cooperative spectrum sensing in cognitive radio network is investigated and optimized. The novel mathematical formulation of energy efficiency maximization problem by considering number of secondary users, sensing time,… read more here.
Keywords: optimal sensing; cooperative spectrum; energy; transmission ... See more keywords
A robust multistage spectrum sensing model for cognitive radio applications
Sign Up to like & getrecommendations! Published in 2019 at "AEU - International Journal of Electronics and Communications"
DOI: 10.1016/j.aeue.2019.152876
Abstract: Abstract Spectrum sensing is widely exploited in Cognitive Radio (CR) to detect and utilize the unoccupied, underutilized frequency bands. Reliable spectrum sensing is an essential prerequisite for the successful applications of CR. In this paper,… read more here.
Keywords: robust multistage; cognitive radio; spectrum sensing; detector ... See more keywords
Case study of TV spectrum sensing model based on machine learning techniques
Sign Up to like & getrecommendations! Published in 2021 at "Ain Shams Engineering Journal"
DOI: 10.1016/j.asej.2021.06.026
Abstract: Abstract Spectrum sensing is an essential component in cognitive radios (CR). Machine learning (ML) algorithms are powerful techniques for designing a promising spectrum sensing model. In this work, the supervised ML algorithms, support vector machine… read more here.
Keywords: case study; sensing model; machine; machine learning ... See more keywords
OFDM system with cyclostationary feature detection spectrum sensing
Sign Up to like & getrecommendations! Published in 2019 at "ICT Express"
DOI: 10.1016/j.icte.2018.01.007
Abstract: Abstract In Orthogonal Frequency Division Multiplexing OFDM, a cyclic prefix (CP) is applied to reduce the intervention between symbols. The CP results in bandwidth wastage, and the solution to this problem leads to the cognitive… read more here.
Keywords: ofdm system; spectrum; cyclostationary feature; system cyclostationary ... See more keywords
Spectrum sensing for free space optical communications in strong atmospheric turbulence channel
Sign Up to like & getrecommendations! Published in 2019 at "Optics Communications"
DOI: 10.1016/j.optcom.2019.04.009
Abstract: Abstract One of the primary challenges in multi-user optical wireless communications (OWC) is to periodically sense the optical frequency spectrum at the receiver to detect whether the channel is occupied by other transceiver pairs in… read more here.
Keywords: turbulence channel; spectrum sensing; strong atmospheric; atmospheric turbulence ... See more keywords
Adaptive interacting multiple model-Kalman filter for multitaper spectrum sensing in cognitive radio
Sign Up to like & getrecommendations! Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2017.3752
Abstract: This Letter addresses the necessity for adaptive threshold (AT) and optimum frame duration (OFD) in spectrum sensing (SS). An adaptation paradigm of Kalman filter incorporated with interacting multiple model to interrogate the channel state information… read more here.
Keywords: spectrum sensing; kalman filter; multiple model; interacting multiple ... See more keywords