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In this paper, we analyze the effect of cooperation for spectrum sensing based on relay with equal gain combining in cognitive radio networks. The performance of energy detection in cognitive radio network over a number of cognitive radio users is evaluated. The probability of detection and probability of false alarm are calculated and simulated. We found that when the square of the sum of the gains...
Focused on the spectrum sensing in low signal-to-noise ratio, we propose a novel spectrum sensing method based on locally linear embedding (LLE) and random forest (RF). From the received radio signal, a set of cyclic spectrum features are first calculated, and the LLE computes low dimensional, neighbourhood preserving embeddings of high dimensional data for classification. Then the detecting signal...
Spectrum occupancy measurement and analysis is a very important aspect in frequency resource planning by the reason of frequency shortage for the increasing wireless systems. It is also useful in spectrum sensing in the context of cognitive radio, especially in unlicensed band. Given that, a dynamic decision threshold computing method based on SOM Neural Network in spectrum occupancy analysis is proposed...
Cognitive radios have enabled the users to utilize licensed bands opportunistically without causing harmful interference to licensed users. Spectrum analysis is an important technique in cognitive radio networks. And it helps ranking available channels using spectrum sensing results. Appropriate channel assignment decisions will be made according to the ranking results and user requirements. Here...
Cognitive radio enabled dynamic spectrum access is a promising solution to alleviate the spectrum low-utilization problem. Secondary users need to sense the bands before transmitting on them to avoid collision with the licensed users. To reduce delay and energy consumption of spectrum sensing, spectrum prediction is incorporated to predict the future usage of channels before spectrum sensing. In this...
For cognitive radio (CR), compressed sensing (CS) techniques have been utilized for spectrum sensing in order to alleviate the high signal acquisition costs in the wideband regime. However, the compressed spectrum reconstruction will fail owing to the non-sparsity of the spectrum when the primary (licensed) users (PU or LU) occupy most subchannels. In this paper we study the problem of detecting spectrum...
According to the spectrum sensing problem under the short of collaborative users and low SNR, a cooperative sensing algorithm based on bistable stochastic resonance (BSR) is presented in this paper. First, decomposition and recombination (DAR) are adopted to increase the dimensions of matrix. Depending on the kind of decompositions, it can be divided into order-DAR and interval-DAR, which have a different...
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