Ido Nevat | Institute for Infocomm Research (original) (raw)
Papers by Ido Nevat
IEEE Transactions on Signal Processing, 2000
ABSTRACT We develop new and novel algorithms for spatial field reconstruction and spatial exceeda... more ABSTRACT We develop new and novel algorithms for spatial field reconstruction and spatial exceedance level estimation. We consider spatial physical phenomena which are partially observed by a wireless sensor network. We focus on the practical scenario in which, due to bandwidth and power constraints, the observations at the sensors are quantized and transmitted over imperfect wireless channels. We first develop the Spatial-Best Linear Unbiased Estimator (S-BLUE) algorithm for the spatial field reconstruction estimation. We then develop an algorithm that is based on a multivariate series expansion approach resulting in a Saddle-point type approximation to solve both problems of spatial field reconstruction and exceedance level estimation. We derive the Posterior Cramér Rao Lower Bound (PCRLB) and quantify the achievable MSE in the estimation. The estimation accuracy of the proposed algorithms is quantified via numerical comparisons between the two algorithms and the PCRLB.
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ieeexplore.ieee.org
ABSTRACT We present a new paradigm to perform spatial spectrum sensing in cooperative cognitive r... more ABSTRACT We present a new paradigm to perform spatial spectrum sensing in cooperative cognitive radio networks. In these networks, nodes cooperate to infer information on spectral and spatial occupancy. Following the recently proposed interference temperature metric, we formulate the problem via semi-parametric Gaussian Process modelling. This allows for a development of a flexible probabilistic framework to perform inference on a function space. Our methodology enables sensing spatial reusable zones, by means of a collaborative scheme to estimate the distribution of power emitted by the primary user in space. Hence, rather than a conventional binary decision process in space (busy/idle), our scheme provides a probabilistic spectrum access scheme for cognitive radio networks. We develop an algorithm, based on the Iterated Conditioning on the Modes (ICM) estimation to predict spatial spectral holes at any arbitrary spatial location. The ICM approach is computationally efficient, and suitable for real world applications. Numerical results demonstrate the benefits obtained by the proposed algorithm.
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Arxiv preprint arXiv:1204.4585, Jan 1, 2012
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… Technology Conference (VTC …, Jan 1, 2011
Abstract We present a new approach for joint channel tracking and parameter estimation in coopera... more Abstract We present a new approach for joint channel tracking and parameter estimation in cooperative wireless relay networks, based on a particle Markov chain Monte Carlo (PMCMC) method. We consider a system with multiple relay nodes operating under an ...
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Arxiv preprint arXiv:1104.2355, Jan 1, 2011
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Statistical Signal Processing …
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Arxiv preprint arXiv:1104.2355, Jan 1, 2011
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Signal Processing, IEEE …, Jan 1, 2009
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nicta.com.au
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Acoustics, Speech and Signal …, Jan 1, 2008
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… , IEEE Transactions on, Jan 1, 2010
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… Communication Systems, Jan 1, 2007
AbstractWe present a novel method to reduce error-propagation in iterative receivers of BICM-OFD... more AbstractWe present a novel method to reduce error-propagation in iterative receivers of BICM-OFDM systems under fast fading channels. The effect of symbols misdetection on channel tracking is studied and a novel solution to combat the performance degradation is ...
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Arxiv preprint arXiv:1006.3154, Jan 1, 2010
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Arxiv preprint arXiv:1006.3155, Jan 1, 2010
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perso.telecom-paristech.fr
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Arxiv preprint arXiv:1106.3409, Jan 1, 2011
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Vehicular Technology, IEEE …, Jan 1, 2010
Abstract This paper proposes computationally efficient algorithms for the detection of symbols of... more Abstract This paper proposes computationally efficient algorithms for the detection of symbols of high-level modulation constellations in multiple-input-multiple-output (MIMO) systems. The proposed approach is based on replacing the maximum-likelihood constraint with a finite set of power equality constraints (PECs), resulting in a set of nonconvex optimization problems, which can efficiently be solved using the hidden convexity methodology. Next, using specific structural properties of the proposed approach, we ...
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…, Jan 1, 2009
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IEEE Transactions on Signal Processing, 2000
ABSTRACT We develop new and novel algorithms for spatial field reconstruction and spatial exceeda... more ABSTRACT We develop new and novel algorithms for spatial field reconstruction and spatial exceedance level estimation. We consider spatial physical phenomena which are partially observed by a wireless sensor network. We focus on the practical scenario in which, due to bandwidth and power constraints, the observations at the sensors are quantized and transmitted over imperfect wireless channels. We first develop the Spatial-Best Linear Unbiased Estimator (S-BLUE) algorithm for the spatial field reconstruction estimation. We then develop an algorithm that is based on a multivariate series expansion approach resulting in a Saddle-point type approximation to solve both problems of spatial field reconstruction and exceedance level estimation. We derive the Posterior Cramér Rao Lower Bound (PCRLB) and quantify the achievable MSE in the estimation. The estimation accuracy of the proposed algorithms is quantified via numerical comparisons between the two algorithms and the PCRLB.
Bookmarks Related papers MentionsView impact
ieeexplore.ieee.org
ABSTRACT We present a new paradigm to perform spatial spectrum sensing in cooperative cognitive r... more ABSTRACT We present a new paradigm to perform spatial spectrum sensing in cooperative cognitive radio networks. In these networks, nodes cooperate to infer information on spectral and spatial occupancy. Following the recently proposed interference temperature metric, we formulate the problem via semi-parametric Gaussian Process modelling. This allows for a development of a flexible probabilistic framework to perform inference on a function space. Our methodology enables sensing spatial reusable zones, by means of a collaborative scheme to estimate the distribution of power emitted by the primary user in space. Hence, rather than a conventional binary decision process in space (busy/idle), our scheme provides a probabilistic spectrum access scheme for cognitive radio networks. We develop an algorithm, based on the Iterated Conditioning on the Modes (ICM) estimation to predict spatial spectral holes at any arbitrary spatial location. The ICM approach is computationally efficient, and suitable for real world applications. Numerical results demonstrate the benefits obtained by the proposed algorithm.
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Arxiv preprint arXiv:1204.4585, Jan 1, 2012
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… Technology Conference (VTC …, Jan 1, 2011
Abstract We present a new approach for joint channel tracking and parameter estimation in coopera... more Abstract We present a new approach for joint channel tracking and parameter estimation in cooperative wireless relay networks, based on a particle Markov chain Monte Carlo (PMCMC) method. We consider a system with multiple relay nodes operating under an ...
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Arxiv preprint arXiv:1104.2355, Jan 1, 2011
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Bookmarks Related papers MentionsView impact
Statistical Signal Processing …
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Arxiv preprint arXiv:1104.2355, Jan 1, 2011
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Signal Processing, IEEE …, Jan 1, 2009
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nicta.com.au
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Acoustics, Speech and Signal …, Jan 1, 2008
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… , IEEE Transactions on, Jan 1, 2010
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… Communication Systems, Jan 1, 2007
AbstractWe present a novel method to reduce error-propagation in iterative receivers of BICM-OFD... more AbstractWe present a novel method to reduce error-propagation in iterative receivers of BICM-OFDM systems under fast fading channels. The effect of symbols misdetection on channel tracking is studied and a novel solution to combat the performance degradation is ...
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Arxiv preprint arXiv:1006.3154, Jan 1, 2010
Bookmarks Related papers MentionsView impact
Arxiv preprint arXiv:1006.3155, Jan 1, 2010
Bookmarks Related papers MentionsView impact
perso.telecom-paristech.fr
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Arxiv preprint arXiv:1106.3409, Jan 1, 2011
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Vehicular Technology, IEEE …, Jan 1, 2010
Abstract This paper proposes computationally efficient algorithms for the detection of symbols of... more Abstract This paper proposes computationally efficient algorithms for the detection of symbols of high-level modulation constellations in multiple-input-multiple-output (MIMO) systems. The proposed approach is based on replacing the maximum-likelihood constraint with a finite set of power equality constraints (PECs), resulting in a set of nonconvex optimization problems, which can efficiently be solved using the hidden convexity methodology. Next, using specific structural properties of the proposed approach, we ...
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…, Jan 1, 2009
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