International audienceIn many situations, telecommunication engineers are faced with the problem of extracting information from the network. This corresponds in many cases to infer on functionals of spectrum of random matrices with only a limited knowledge on the statistics of the matrix entries. Here, the inference on the spectrum of random matrices is realized by moments method. In its full generality, the problem requires some sophisticated tools related to free probability theory and the explicit spectrum (complete information) can hardly be obtained (except for some trivial cases). Results in the asymptotic case and in the finite case are presented and simulations show how the moments method approach can be applied in practice. Several...
Random matrix theory has found many applications in physics, statistics and engineering since its in...
Abstract. We develop a method to compute the moments of the eigenvalue densities of matrices in the ...
We develop a method to compute the moments of the eigenvalue densities of matrices in the Gaussian, ...
Abstract: In many situations, telecommunication engineers are faced with the prob-lem of extracting ...
International audienceIn many situations, telecommunication engineers are faced with the problem of ...
In this thesis, we focus on the analysis of the moments method, showing its importance in the applic...
This work gives an overview of analytic tools for the design, analysis, and modelling of com-municat...
Abstract—Spectrum sensing is a fundamental component in a cognitive radio. In this paper, we propose...
International audienceThis book introduces the field of random matrix theory and particularly of lar...
The Radio spectrum is a most precious natural resource in this era of development in wireless techno...
Recent advances in random matrix theory have spurred the adoption of eigenvalue-based detection tech...
Abstract—We consider a certain class of large random ma-trices, composed of independent column vecto...
The exact and simple distributions of finite random matrix theory (FRMT) are critically important fo...
This paper considers the eigenvalues of symmetric Toeplitz matrices with independent random entries ...
International audienceThis paper introduces a new method to estimate the power transmitted by multip...
Random matrix theory has found many applications in physics, statistics and engineering since its in...
Abstract. We develop a method to compute the moments of the eigenvalue densities of matrices in the ...
We develop a method to compute the moments of the eigenvalue densities of matrices in the Gaussian, ...
Abstract: In many situations, telecommunication engineers are faced with the prob-lem of extracting ...
International audienceIn many situations, telecommunication engineers are faced with the problem of ...
In this thesis, we focus on the analysis of the moments method, showing its importance in the applic...
This work gives an overview of analytic tools for the design, analysis, and modelling of com-municat...
Abstract—Spectrum sensing is a fundamental component in a cognitive radio. In this paper, we propose...
International audienceThis book introduces the field of random matrix theory and particularly of lar...
The Radio spectrum is a most precious natural resource in this era of development in wireless techno...
Recent advances in random matrix theory have spurred the adoption of eigenvalue-based detection tech...
Abstract—We consider a certain class of large random ma-trices, composed of independent column vecto...
The exact and simple distributions of finite random matrix theory (FRMT) are critically important fo...
This paper considers the eigenvalues of symmetric Toeplitz matrices with independent random entries ...
International audienceThis paper introduces a new method to estimate the power transmitted by multip...
Random matrix theory has found many applications in physics, statistics and engineering since its in...
Abstract. We develop a method to compute the moments of the eigenvalue densities of matrices in the ...
We develop a method to compute the moments of the eigenvalue densities of matrices in the Gaussian, ...