G. Jeney, J. Levendovszky, S. Imre, L. Pap, "Comparison of Different Neural Network Based Multi-user Detectors", Accepted to EUNICE 2000, Enschede  Home/Search   Document Details and Download   Summary   Related Articles

....k) ## (x) 1 1 e #x logistic distribution to generate the values for the internal noise. Here parameter # is a positive value and increasing it, the noise variance tends to diminish. However, it still remains to be seen how to decrease the noise variance. Based on extensive simulation results [14] it turned out that #(k) 1.5 k is feasible for our purposes, thus we use this function in all of the simulations. V. SIMULATION RESULTS The simulations were performed in a K =33user environment with 31 length Gold codes [14] which entails that the channel were overloaded (K Processing Gain ....

....to decrease the noise variance. Based on extensive simulation results [14] it turned out that #(k) 1.5 k is feasible for our purposes, thus we use this function in all of the simulations. V. SIMULATION RESULTS The simulations were performed in a K =33user environment with 31 length Gold codes [14], which entails that the channel were overloaded (K Processing Gain (PG) The number of symbols in one block was chosen to be (2M 1) 51, chip level synchronization was assumed, samples were taken in the middle of chip intervals. For all users a L k =5path propagation model was used, where the ....

G. Jeney, J. Levendovszky, S. Imre, L. Pap, "Comparison of Different Neural Network Based Multi-user Detectors", Accepted to EUNICE 2000, Enschede

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