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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/2352

Title: Bit-error probability for optimum combining of binary signals in the presence of interference and noise
Authors: Mallik, Ranjan K
Win, Moe Z
Chiani, Marco
Zanella, Alberto
Keywords: bit-error probability
gaussian noise
probability density function
N/sub I//spl ges/N/sub A/
Issue Date: 2004
Citation: Wireless Communications, IEEE Transactions on, 3(2), 395 - 407p.
Abstract: We derive an exact bit-error probability (BEP) expression for coherent detection of binary signals with optimum combining in wireless systems in the presence of multiple cochannel interferers and thermal noise. A flat Rayleigh fading environment with space diversity, uncorrelated equal-power interferers, and additive white Gaussian noise is considered. The approach is to use the chain rule of conditional expectation together with the joint probability density function (pdf) of the eigenvalues of the interference correlation matrix. This joint pdf is related to the Vandermonde determinant. Let N/sub A/ denote the number of antennas and N/sub I/ the number of interferers. We consider both the cases of an overloaded system, in which N/sub I//spl ges/N/sub A/, and an underloaded system, in which N/sub I/
URI: http://eprint.iitd.ac.in/dspace/handle/2074/2352
Appears in Collections:Electrical Engineering

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