Results 21 to 30 of about 22,406 (266)
Most of the compressive wideband spectrum sensing algorithms need to recover the spectrum, which require high computational complexity. Recently, a novel algorithm for compressive wideband sensing without spectrum recovery (NoR) was proposed.
Shiyu Ren +3 more
doaj +1 more source
Evaluation of the Effects of Compressive Spectrum Sensing Parameters on Primary User Behavior Estimation [PDF]
As the Internet of Things (IoT) technology is being deployed, the demand for radio spectrum is increasing. Cognitive radio (CR) is one of the most promising solutions to allow opportunistic spectrum access for IoT secondary users through utilizing ...
Ahmed Tawfik +2 more
doaj +1 more source
A NLLS based sub-Nyquist rate Spectrum Sensing for Wideband Cognitive Radio [PDF]
For systems and devices, such as cognitive radio and networks, that need to be aware of available frequency bands, spectrum sensing has an important role.
Haghighi, Kasra +3 more
core +1 more source
Distributed wideband spectrum sensing for cognitive radio networks [PDF]
Wideband spectrum sensing improves the agility of spectrum sensing and spectrum hand-off in cognitive radio systems. In this paper, a distributed wideband spectrum sensing technique over adaptive diffusion networks is proposed. Considering unknown and different channels between the primary and the cognitive users, an averaged received power spectrum ...
Arroyo-Valles, Rocio +2 more
openaire +2 more sources
A Sequential Compressed Spectrum Sensing Algorithm against SSDH Attack in Cognitive Radio Networks
Spectrum sensing is one of the key technologies in wireless wideband communication. There are still challenges in respect of how to realize fast and robust wideband spectrum sensing technology.
Zhuhua Hu +4 more
doaj +1 more source
Compressed Wideband Spectrum Sensing: Concept, Challenges, and Enablers [PDF]
6 pages, 5 figures, and 1 ...
Hamdaoui, Bechir +2 more
openaire +2 more sources
Dynamic Spectrum Sharing in the Age of Millimeter Wave Spectrum Access
Next-generation wireless networks are facing spectrum shortage challenges, mainly due to, among other factors, the projected massive numbers of IoT connections and the emerging bandwidth-hungry applications that such networks ought to serve.
Hamdaoui, Bechir +2 more
core +1 more source
Distributed Wideband Spectrum Sensing
6 pages, 6 figures, submitted to ieee Globecom ...
Kealy, Thomas +2 more
openaire +2 more sources
Frequency‐domain wideband compressive spectrum sensing
The authors study the power spectrum density (PSD) estimation of wideband wide‐sense stationary (WSS) signals with sub‐Nyquist sampling rate. Owing to the large bandwidth, Nyquist rate sampling of such signals needs very high rate analogue‐to‐digital converters.
Mohamad Farzan Sabahi +2 more
openaire +1 more source
Spectrum Sensing and Resource Allocation for Multicarrier Cognitive Radio Systems Under Interference and Power Constraints [PDF]
http://asp.eurasipjournals.com/content/2014/1/68International audienceMulticarrier waveforms have been commonly recognized as strong candidates for cognitive radio.
Bader, Faouzi +4 more
core +5 more sources

