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2010 Information Theory and Applications Workshop (ITA), 2010
A challenge met in realizing spectrum sensing for cognitive radio is how to identify occupied channels quickly, thus reducing the time required to identify unoccupied channels that can be utilized by the cognitive radio. The spectrum sensor makes a series of measurements and then utilizes those measurements to determine if the channel is occupied or ...
Wenyi Zhang 0006 +3 more
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A challenge met in realizing spectrum sensing for cognitive radio is how to identify occupied channels quickly, thus reducing the time required to identify unoccupied channels that can be utilized by the cognitive radio. The spectrum sensor makes a series of measurements and then utilizes those measurements to determine if the channel is occupied or ...
Wenyi Zhang 0006 +3 more
openaire +1 more source
The future of spectrum sensing
2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN), 2016Even though databases are currently favored in spectrum sharing scenarios, sensing is still needed. Spectrum sensing has a future in several existing and novel situations and applications. Those include crisis situations, local and indoor networks like wireless local area networks (WLAN) and battery oriented applications like future intelligent ...
Vartiainen, Johanna +4 more
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Spectrum sensor for distributed spectrum sensing
2012 IEEE Consumer Communications and Networking Conference (CCNC), 2012For the efficient use of spectrum resource, it is important to understand spectrum occupancy at a high spatial resolution, so a large number of measurement locations are required. In this work, in order to increase measurement locations, we design and implement a low-end spectrum sensor which is capable of switching to different channels in a spectrum ...
Hojun Kim +3 more
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Spectrum sensing challenges: blind sensing and sensing optimization
IEEE Instrumentation & Measurement Magazine, 2016By any measure, wireless communications is one of the most evolving fields in engineering. This, in return, has imposed many challenges, especially in handling the hunger for higher data rates in the next generation wireless networks. Among these challenges is how to provide the needed resources in terms of the electromagnetic radio spectrum for these ...
Mohamed Hamid +3 more
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Spectrum sensing algorithm based on the modulation spectrum
2016 8th IEEE Latin-American Conference on Communications (LATINCOM), 2016Spectrum sensing is without doubt the most important part in the implementation of cognitive radio networks. Therefore, many algorithms for signal detection of primary users have been proposed, being those based on spectral correlation the most outstanding, because of their good performance in environments with low signal-to-noise ratio.
Alfonso Prieto-Guerrero +1 more
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Cooperative spectrum sensing based on the compressed sensing
2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2015In this paper, compressed sensing is applied to cooperative spectrum sensing to reduce the number of fused data. As the modification of OR fusion, DOR fusion is proposed as merger method to deal with information from different cognitive users. And then we analyze the relationship of detection performance and the number of users.
Yongkui Ma, Jiaxin Liu, Yulong Gao
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Mobile distributed compressive sensing for spectrum sensing
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014This paper studies the effect of mobility on the sensing performance of a cognitive radio network with mobile nodes. The secondary nodes sense the spectrum using a distributed compressive sensing approach to detect the available channels. Distributed compressive sensing is suggested to reduce the number of samples by exploiting correlation between the ...
Veria Havary-Nassab +2 more
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Sensing-throughput tradeoff in cooperative spectrum sensing
2012 IEEE Globecom Workshops, 2012In the current literature on cognitive radio, it is commonly assumed that fixed time durations are assigned for spectrum sensing and data transmission. It is however possible to improve the performance by finding the best tradeoff between sensing time and network throughput.
Mohsen Nader Tehrani, Murat Uysal
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Universal Quickest Spectrum Sensing
2016 IEEE Global Communications Conference (GLOBECOM), 2016In modern cognitive ratio systems, the spectrum is becoming increasingly crowded and expensive; thus spectrum sensing becomes more important than ever before. Traditional spectrum sensing assumes Gaussian noise (or of other given distributions) in general. However when secondary users (SUs) have no prior information about the measurement distributions,
Yifan Wang 0002, Husheng Li
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