Probability Of Error In Mmse Multiuser
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Download Full-text PDF Probability of error in MMSE multiuser detectionArticle (PDF Available) in IEEE Transactions on Information Theory 43(3):858 - 871 · June 1997 with 61 ReadsDOI: 10.1109/18.568697 · Source: IEEE Xplore1st H. Vincent Poor50.56 · Princeton University2nd Verdu SVAbstractThe performance analysis of the minimum-mean-square-error (MMSE) linear multiuser detector is considered in an environment of nonorthogonal signaling and additive white Gaussian noise. In particular, the behavior of the multiple-access interference (MAI) at the output of the MMSE detector is examined under various asymptotic conditions, including: large signal-to-noise ratio; large near-far ratios; and large numbers of users. These http://ieeexplore.ieee.org/iel1/18/12351/00568697.pdf results suggest that the MAI-plus-noise contending with the demodulation of a desired user is approximately Gaussian in many cases of interest. For the particular case of two users, it is shown that the maximum divergence between the output MAI-plus-noise and a Gaussian distribution having the same mean and variance is quite small in most cases of interest. It is further proved in this https://www.researchgate.net/publication/3079261_Probability_of_error_in_MMSE_multiuser_detection two-user case that the probability of error of the MMSE detector is better than that of the decorrelating linear detector for all values of normalized crosscorrelations not greater than ½√(2+√3)≅0.9659Discover the world's research11+ million members100+ million publications100k+ research projectsJoin for free 858 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 43, NO. 3, MAY 1997Probability of Error in MMSE Multiuser DetectionH. Vincent Poor, Fellow, IEEE, and Sergio Verd´u, Fellow, IEEEAbstract—Performance analysis of the minimum-mean-square-error (MMSE) linear multiuser detector is considered in an envi-ronment of nonorthogonal signaling and additive white Gaussiannoise. In particular, the behavior of the multiple-access interfer-ence (MAI) at the output of the MMSE detector is examinedunder various asymptotic conditions, including: large signal-to-noise ratio; large near–far ratios; and large numbers of users.These results suggest that the MAI-plus-noise contending withthe demodulation of a desired user is approximately Gaussian inmany cases of interest. For the particular case of two users, it isshown that the maximum divergence between the output MAI-plus-noise and a Gaussian distribution having the same meanand variance is quite small in most cases of interest. It is furtherproved in this two-user case that the probability of er
multiuser detector is considered in an environment of nonorthogonal signaling and additive white Gaussian noise. In particular, the behavior of the multiple-access interference (MAI) https://www.semanticscholar.org/paper/Probability-of-error-in-MMSE-multiuser-detection-Poor-Verd%C3%BA/a4b1521ebecaf6dfe4ea7c87f6ad78a68debb2c4 at the output of the MMSE detector is examined under various asymptotic conditions, including: large signal-to-noise ratio; large near–far ratios; and large numbers of users. These results suggest that the MAI-plus-noise contending with the demodulation of a desired user is approximately Gaussian in many cases of interest. probability of For the particular case of two users, it is shown that the maximum divergence between the output MAI-plus-noise and a Gaussian distribution having the same mean and variance is quite small in most cases of interest. It is further proved in this two-user case that the probability probability of error of error of the MMSE detector is better than that of the decorrelating linear detector for all values of normalized crosscorrelations not greater than 1 2 2 + p 3 = 0:9659:Extracted Key PhrasesGaussian ApproximationResidual InterferenceMultiuser DetectionMMSE FilterLinear MMSE5 Figures and Tablesfigure 1figure 2figure 3figure 4figure 5ReferencesSort by:InfluenceRecencyShowing 1-10 of 13 referencesMMSE interference suppression for direct-sequence spread-spectrum CDMAUpamanyu Madhow, Michael L. HonigIEEE Trans. Communications1994Highly Influential7 ExcerptsMultiuser DetectionAdvances in Statistical Signal Processing—Vol1993Highly Influential3 ExcerptsWorst case additive noise for binary-input channels and zero-threshold detection under constraints of power and divergenceAndrew L. McKellips, Sergio VerdúIEEE Trans. Information Theory1997Blind adaptive multiuser detectionMichael L. Honig, Upamanyu Madhow, Sergio VerdúIEEE Trans. Information Theory19954 ExcerptsLinear adaptive transmitter-receiver structures for asynchronous CDMA systemsPredrag B. Rapajic, Branka VuceticEuropean Transactions on Telecommunications19951 ExcerptMaximum entropy investigation of the inter user interference distribution in a DS/SSMA systemP V Rooyen, F SolmsProc