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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938549
Abstract: We investigate the design of signal processing in wideband spectrum usage (SPU) measurements for efficient and smart dynamic spectrum access (DSA). In particular, we focus on spectrum usage detection (SPUD) in the experimental measurements. The…
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Keywords:
wideband spectrum;
usage detection;
spectrum usage;
spectrum ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3223356
Abstract: This work proposes implementation friendly algorithm for multicoset sampling based wideband spectrum sensing that alleviates computational space and enables parallel execution, incurring lower latency. Based on this proposed algorithm, we provide a new hardware-efficient VLSI…
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Keywords:
wideband spectrum;
sensing time;
multicoset sampling;
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Published in 2017 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2017.2656940
Abstract: Built on compressed sensing theories, sub-Nyquist spectrum sensing (SNSS) has emerged as a promising solution to the wideband spectrum sensing problem. However, most of the existing SNSS methods do not distinguish if primary users (PUs)…
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Keywords:
spectrum sensing;
predecision;
spectrum;
sub nyquist ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3227168
Abstract: Given the explosive growth of wireless devices ranging from the 2D ground to the 3D space, the first task preceding any form of dynamic spectrum management for the smart city infrastructures is the sensing of…
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Keywords:
wideband spectrum;
spectrum;
compressed wideband;
situation ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2021.3139294
Abstract: We study the problem of joint wideband spectrum sensing and recovery of multi-band signals in a multi-antenna-based sub-Nyquist sampling framework. Specifically, the multi-band signal is composed of a number of uncorrelated narrowband signals spreading over…
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Keywords:
spectrum sensing;
wideband spectrum;
compressive wideband;
recovery ... See more keywords
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Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380431
Abstract: This paper reflects the problem of wideband spectrum recovery. The demand for spectrum usage is increasing exponentially as the wireless technologies rules the world. To meet these needs, Cognitive Radio is one of the emerging…
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Keywords:
recovery;
algorithm;
spectrum sensing;
spectrum ... See more keywords