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Analytical methods for CDMA systems with parallel interference cancellation: the large deviation approach

机译:具有并行干扰消除的CDMA系统的分析方法:大偏差方法

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For a simple CDMA system, we compute the bit-error probability (BEP) with soft-decision paralle-linterference-cancellation (SD-PlC). Instead of approximating the signal-to-noise ratio, we use a different measure to calculate performance. This measure is the exponential rate of the BEP, i.e., the limit of n{sup}(-1)=11 log(BEP) = -I, for the processing gain n →∝, where I depends only on the number of users. We show, using the rate as a measure, that SD-PlC improves the performance. The values of I follow as the solution of an optimization problem which can be calculated numerically. We use these results to derive the asymptotic behaviour of the rate for large k. We also derive results for the second order asymptotics of the BEP. Inclusion of second order asymptotics leads to excellent approximations.
机译:对于简单的CDMA系统,我们使用软判决并行消除干扰(SD-PlC)计算误码率(BEP)。除了使用近似的信噪比外,我们还使用其他方法来计算性能。该度量是BEP的指数速率,即对于处理增益n→∝,n {sup}(-1)= 11 log(BEP)= -I的极限,其中I仅取决于用户数。我们显示,使用速率作为衡量标准,SD-PlC可以提高性能。 I的值作为优化问题的解决方案,可以通过数值计算得出。我们使用这些结果得出大k速率的渐近行为。我们还得出了BEP的二阶渐近性的结果。包含二阶渐近线导致极好的近似。

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