Vladimir Lyandres
Ben-Gurion University of the Negev
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Publication
Featured researches published by Vladimir Lyandres.
IEEE Transactions on Communications | 2002
Lev Goldfeld; Vladimir Lyandres; Dov Wulich
A novel approach to power loading for orthogonal frequency-division multiplexing (OFDM) systems is proposed. The corresponding algorithm minimizes the aggregate bit-error rate, but appears to be rather complicated. Consequently, a much simpler, quasi-optimal loading algorithm is developed. The performance of various power loading strategies known in the literature are compared with the proposed quasi-optimal algorithm in the Rayleigh frequency-selective fading channel.
Signal Processing | 1999
Sergey Primak; Vladimir Lyandres; Oren Kaufman; Mark Kliger
Abstract The approach presented provides very good results in modelling non-Gaussian time series. It is validated by direct numerical simulation of bimodal and Nakagami distributed sequences with approximately exponential correlation function.
Journal of The Franklin Institute-engineering and Applied Mathematics | 1999
Valeri Kontorovich; Vladimir Lyandres
Abstract The representation of nonstationary continuous-time, generally non-Gaussian processes with distinguishable states with the help of dynamic systems with random structure are considered. Switching of the partial subsystems is intended to be a Poisson point process and so the model has the Markov property and the generating system itself is described by a set of stochastic nonlinear differential equations. The statistical characteristics of the system output are analyzed.
IEEE Signal Processing Letters | 1996
Valerii Kontorovich; Vladimir Lyandres; Sergey Primak
The correlated random process is represented as a solution of a stochastic differential first-order equation (SDE). The case of processes with a probability density function defined on a semi-infinite or finite range is considered. The limitation of the range of the simulated process requires modification of the specific structure of the SDE. The approach presented provides excellent results in modeling significant non-Gaussian processes with approximately an exponential correlation function. It is validated by direct numerical simulation of a uniformly distributed correlated process.
Signal Processing | 1996
Valeri Kontorovich; Vladimir Lyandres
Abstract The problem of impulsive interference modeling is considered. The proposed approach is based on the representation of the interference as the discontinuous Markov process observed at the output of the generally nonlinear filter, excited by a Poisson-distributed train of δ-pulses with random or constant energy. The dependence of the probability density and correlation functions of the simulating process on the filter structure and on the excitation characteristics is investigated. Examples of the considered model synthesis are included. The concept suggested should prove useful in simulators of the interference in continuous communication channels and in synthesis of optimal signal processing algorithms in the impulsive environment.
Signal Processing | 1993
Vladimir Lyandres; S. Briskin
Abstract A new approach to moving-average filtering is proposed, based on a mathematical description of an input mixture as a finite sum of sinusoidal segments. The proposed filter possesses some advantages: it is efficient when processing very short-duration mixtures and, additionally, the restriction on the closeness of the frequencies of the mixture components is determined only by the resolution of a computer. Among filters other properties a high precision of useful signal recovery and a relative simplicity of construction should be mentioned. Algorithms and the results of computer simulations of the filters performance in different noise environment are presented.
international symposium on electromagnetic compatibility | 2003
R.C. Santiago; Vladimir Lyandres; A. Raymond; V.Y. Kontorovitch
Most of mobile radio networks that operate nowadays have been designed based on the classical cellular concept. However, during the last decade, an interest to find alternate design strategies has raised for several reasons. In general, the traffic density cannot be assumed constant throughout, making necessary the relocation of base stations inside the traffic hot spots. If traffic is characterized in a discrete manner, the optimal base stations location problem can be treated as a well-known problem in signal processing called vector quantization. We found that applying such a design strategy, better frequency assignments for a network can be accomplished
ieee international symposium on microwave, antenna, propagation and emc technologies for wireless communications | 2005
R. Chavez-Santiago; Eli Gigi; Vladimir Lyandres
In this paper, the analysis of the time complexity that including adjacent channel interference in the computation of the channel-to-interference ratio for fixed frequency assignment in mobile communication systems is presented. A sequential algorithm that solves the frequency assignment problem using nonbinary constraints is described and analyzed considering both, cochannel and adjacent channel interference. Computer simulation results are presented too
vehicular technology conference | 2004
Raúl Chávez Santiago; Eli Gigi; Vladimir Lyandres
We present an improved heuristic sequential algorithm for fixed frequency assignment in mobile radio systems with nonequal cells. This algorithm models the problem using nonbinary constraints and accounts for the interference level and the number of channel requirements to define a degree of difficulty for each cell in order to establish the sequence for the assignment process. Improvements with respect to an existing algorithm are done by accounting for transmitting power and adjacent channel interference, and by introducing a more accurate urban propagation model.
International Journal of Non-linear Mechanics | 1995
Vladimir Lyandres; Mark Shahaf
The stationary response of oscillators possessing linear damping and non-linear stiffness to the white Gaussian noise excitation is considered. The original stochastic differential equation (SDE) is used to establish relations between the system parameters and the envelope correlation function. The approximation approach is based on the moment approximation and replacement of the envelope generating SDE by the new one with analytical solution of the corresponding Fokker-Planck equation. The usefulness of the method is illustrated by application to the randomly driven Duffing oscillator.