Results 221 to 230 of about 22,406 (266)

Cooperative compressive wideband power spectrum sensing

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012
Compressive sampling is a popular approach to relax the rate requirement on the analog-to-digital converters and to perfectly reconstruct wideband sparse signals sampled below the Nyquist rate. However, there are some applications, such as spectrum sensing for cognitive radio, that demand only power spectrum recovery. For wide-sense stationary signals,
Dyonisius Dony Ariananda, Geert Leus
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Wideband spectrum sensing by compressed measurements

2012 IEEE Symposium on Computers and Communications (ISCC), 2012
In this paper we introduce a new method for wideband spectrum sensing which uses the received signal compressed measurements to determine the occupancy status of each subchannel. In the cognitive radio systems, wideband spectrum sensing in high utilization regimes increases the speed of the access to the spectrum holes.
Davood Mardani Najafabadi, Ali A. Tadaion, Masoud Reza Aghabozorgi Sahaf   +2 more
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New algorithms for wideband spectrum sensing via compressive sensing

2013 IEEE International Conference on Communications (ICC), 2013
We consider the problem of spectrum sensing in a Cognitive Radio (CR) system when the primaries can be occupying a few subbands in a wideband spectrum. Since the primary signal dimension is large, Nyquist rate can be very high. Compressive sensing (CS) can be useful in this setup.
Shwetank Mistry, Vinod Sharma
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Wideband spectrum sensing technique based on multitask compressive sensing

2016 IEEE Symposium on Computers and Communication (ISCC), 2016
Sensing the spectrum is the central operation to enable cognitive users to identify the spectrum occupancy. Wideband spectrum sensing enables detecting occupancy at different bands. In this paper, we propose a wavelet based multitask compressive sensing (WMCS) algorithm for constructing the spectrum edges directly from the compressive measurement.
Osama Elnahas, Maha Elsabrouty
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Cooperative wideband spectrum sensing based on sequential compressed sensing

Journal of Electronics (China), 2011
Compressed sensing offers a new wideband spectrum sensing scheme in Cognitive Radio (CR). A major challenge of this scheme is how to determinate the required measurements while the signal sparsity is not known a priori. This paper presents a cooperative sensing scheme based on sequential compressed sensing where sequential measurements are collected ...
Bin Gu, Zhen Yang, Haifeng Hu
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DISCRIMINATING STATISTICAL FEATURE FOR WIDEBAND SPECTRUM SENSING

REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE, 2023
Spectrum-aware devices and cognitive radios with wideband spectrum sensing will be an integral part of 5G or beyond wireless broadband. They must be fast and energy efficient for opportunistic dynamic access to the licensed spectrum. Compressed sensing (CS) methods can implement wideband sensing with reduced time and power consumption but are ...
ASHWINI KUMAR VARMA, AJEET KUMAR VISHWAKARMA, ANOOP KUMAR TIWARI, DEBJANI MITRA   +3 more
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Frugal Sensing: Wideband Power Spectrum Sensing From Few Bits

IEEE Transactions on Signal Processing, 2013
Wideband spectrum sensing is a key requirement for cognitive radio access. It now appears increasingly likely that spectrum sensing will be performed using networks of sensors, or crowd-sourced to handheld mobile devices. Here, a network sensing scenario is considered, where scattered low-end sensors filter and measure the average signal power across a
Omar Mehanna, Nicholas D. Sidiropoulos
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Wideband spectrum sensing based on coprime sampling

2015 22nd International Conference on Telecommunications (ICT), 2015
In wideband compressive spectrum sensing, when the number of occupied subbands in the monitored wideband increases, the existing compressive sensing approaches have to raise the sampling rate to maintain a desired sensing performance. What is worse, that will add computational complexity of the following signal reconstruction.
Shiyu Ren, Zhimin Zeng, Caili Guo, Xuekang Sun   +3 more
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Wideband Spectrum Sensing Techniques

2015
From a physical standpoint, the distinguishing feature of a cognitive radio (CR) is the spectrum sensing unit (SSU). The SSU must be designed in such a way that it can scan the entire frequency spectrum and locate unused channels. The location of unused channels is not a trivial task for two main reasons. First, the frequency spectrum band may be large
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Method and apparatus for wideband spectrum sensing

2023
Examples of wideband spectrum sensing techniques for cognitive radio are provided. The techniques permit undersampling (e.g., sub-Nyquist sampling) the spectrum band, which permits use of more cost effective electronic components (e.g., lower frequency analog-to-digital converters (ADC)). The techniques permit determination of whether there are any (or
Laneman, J. Nicholas, Sun, Zhanwei
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