Interference evaluation for a cellular system based on OFDMA
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
Advances in Computation of the Maximum of a Set of Gaussian Random Variables
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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The stationary probabilities of different modulation and coding schemes (MCS) are required for dimensioning an OFDMA based network. In this paper, we introduce a semi-analytical approach to find out these stationary probabilities for a WiMAX network in downlink (DL) with users served by the best base station (BS). Using Monte Carlo simulations, we find the spatial distributions of effective signal to interference-plus-noise ratio (SINReff) for different values of shadowing standard deviation (σSH). With the help of distribution fit, we show that generalized extreme value (GEV) distribution provides a good fit for different frequency reuse schemes. Furthermore, by applying curve fitting, we demonstrate that the parameters of GEV distributions, as a function of σSH values, can be expressed using polynomials. These polynomial can then be used off-line (in place of time consuming simulations) to find out GEV cumulative distribution function (CDF), and hence the stationary probabilities of MCS, for any desired value of σSH. We further show that these polynomials can be used for other cell configurations with acceptable deviation and significant time saving.