NDLI: A combined spectrum sensing and terminals localization technique for cognitive radio networks

Content Provider	IEEE Xplore Digital Library
Author	Guibene, W. Slock, D.
Copyright Year	2012
Description	Author affiliation: Mobile Communications Department, EURECOM, 2229 Route des Crêtes, P.O. Box 193, 06904, Sophia Antipolis, France (Guibene, W.; Slock, D.)
Abstract	Cognitive radio is a smart wireless communication concept that is able to promote the efficiency of the spectrum usage by exploiting its free frequency bands, namely spectrum holes. Detection of spectrum holes is one of the first steps of implementing a cognitive radio system. Another step towards the feasibility and a real implementation of a cognitive radio network is the problem of location awareness. This problem arises when we do consider a realistic scenario in hybrid overlay/underlay systems, when these spectrum opportunities permit cognitive radios to transmit below the primary users tolerance threshold. In this case, the cognitive radio, have to estimate robustly the primary users locations in the network in order to adjust its transmission power function of the estimated location in the network. Adding to this the fact that in wideband radio one may not be able to acquire signals at the Nyquist sampling rate due to the current limitations in Analog-to-Digital Converter (ADC) technology, we end up with a system that should, at a sub-Nyquist rate, properly recover the bands over which the primary users transmit and estimate their location in the network. In this paper 1, we proposed to analyze all these arisen problems. During the problem formulation and when analyzing more deeply the equations related to each question apart, we will make the link between the formulation of spectrum sensing, location awareness and the hardware limitation by describing those problems in a unique compressed sensing formalism. Via the proposed framework, we made it possible to overcame a challenging postulate of fixed frequency spectrum allocation by also estimating the spectrum usage boundaries in a blind way.
Starting Page	719
Ending Page	727
File Size	271685
Page Count	9
File Format	PDF
ISBN	9781467314299
ISSN	21604886
e-ISBN	9781467314305
DOI	10.1109/WiMOB.2012.6379155
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-08
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	compressed sensing Noise Matching pursuit algorithms collaborative spectrum sensing Vectors primary users localization Sensors Cognitive radio Equations
Content Type	Text
Resource Type	Article

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