Compressed Edge Spectrum Sensing for Wideband Cognitive Radios

Autoren: E. Beck, C. Bockelmann, A. Dekorsy
Kurzfassung:

Free licensed spectral bands have become rare due
to the increasing number of wireless users and their demand for
high data rates. Likewise, the static allocation of these bands
results in an under-utilization of the spectrum. Cognitive Radio
(CR) has emerged as a promising solution to the dilemma by
allowing opportunistic users to transmit in the absence of licensed
users. Spectrum sensing is therefore the key component of CR
and coexistence management in general. In order to detect as
much transmission opportunities as possible, a large bandwidth
has to be monitored which according to Shannon-Nyquist ne-
cessitates high sampling rates. For fast and accurate spectrum
estimation, we propose a novel approach called Compressed
Edge Spectrum Sensing (CESS) which exploits the sparsity of
power spectrum edges and allows for sampling down to 6% of
Nyquist without losses in the detection accuracy of occupied and
unoccupied spectrum regions.

Dokumenttyp: Konferenzbeitrag
Veröffentlichung: Rome, Italien, 3. - 7. September 2018
Konferenz: 26th European Signal Processing Conference (EUSIPCO 2018)
Dateien:
Compressed Edge Spectrum Sensing for Wideband Cognitive Radios
Beck_CESS_EUSIPCO18_final.pdf279 KB
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Zuletzt aktualisiert am 07.06.2018 von E. Beck
AIT ieee tzi ith Fachbereich 1
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