Spectrum sensor for distributed spectrum sensing

Kim, Hojun; Minami, Masateru; Morikawa, Hiroyuki

doi:10.1109/ccnc.2012.6181043

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Even though our used spectrum analyzer can obtain very accurate measurements, it should be noted that the outcomes of our study are not restricted by its specifications, but can be straightforwardly exploited by any energy detection-capable device, perhaps at the cost of some tolerable accuracy loss. For instance, we could have well used the less heavy and bulky CR-enabled USRP devices, or even experimental hardware implementations of spectrum analyzer substitutes (e.g., [8]) characterized by almost handheld dimensions and low cost (US$200 to US$500). Figure 3 depicts the block diagram of the employed energy detection implementation for a continuous-time received signal r(t).…”

Section: Background Details Of Our Experimentally Driven Approachmentioning

confidence: 99%

Discovering and exploiting spectrum power correlations in cognitive radio networks: an experimentally driven approach

Arkoulis

Anifantis

Karyotis

et al. 2014

J Wireless Com Network

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In this paper, we focus on increasing the spectrum awareness of cognitive radio users through statistical processing of spectrum sensing data, obtained via wideband energy-detection-based sensing techniques. Based on observations over real spectrum power measurements, we advocate the existence of correlation properties in the sensed power of measured neighboring channels and propose an inference methodology for exploiting them towards acquiring a more accurate view of the underlying wireless environment. To highlight the benefits of the proposed correlation-based inference methodology on cognitive radio systems, we emphasize on enhancements of white space discovery and channel selection processes, while we thoroughly discuss the impact of our findings on existing relevant approaches. Based on a systematic wireless spectrum survey in the metropolitan area of Athens, Greece, we validate our proposed methodology and assess the achieved performance improvements through the obtained measurement data, confirming its potential value in future cognitive radio networks.

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Section: Background Details Of Our Experimentally Driven Approachmentioning

confidence: 99%