Computer Science – Information Theory
Scientific paper
2010-01-15
Computer Science
Information Theory
Submitted to ISIT 2010
Scientific paper
We consider the asymptotic behavior of the polarization process for polar codes when the blocklength tends to infinity. In particular, we study the problem of asymptotic analysis of the cumulative distribution $\mathbb{P}(Z_n \leq z)$, where $Z_n=Z(W_n)$ is the Bhattacharyya process, and its dependence to the rate of transmission R. We show that for a BMS channel $W$, for $R < I(W)$ we have $\lim_{n \to \infty} \mathbb{P} (Z_n \leq 2^{-2^{\frac{n}{2}+\sqrt{n} \frac{Q^{-1}(\frac{R}{I(W)})}{2} +o(\sqrt{n})}}) = R$ and for $R<1- I(W)$ we have $\lim_{n \to \infty} \mathbb{P} (Z_n \geq 1-2^{-2^{\frac{n}{2}+ \sqrt{n} \frac{Q^{-1}(\frac{R}{1-I(W)})}{2} +o(\sqrt{n})}}) = R$, where $Q(x)$ is the probability that a standard normal random variable will obtain a value larger than $x$. As a result, if we denote by $\mathbb{P}_e ^{\text{SC}}(n,R)$ the probability of error using polar codes of block-length $N=2^n$ and rate $R
Hassani Steven H.
Urbanke Rudiger
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