Two-stage coding over the Z-channel

TL;DR

This paper introduces a two-stage encoding method for the Z-channel that adapts based on noiseless feedback to optimize error correction, revealing a sharp transition in capacity at approximately 44% error rate.

Contribution

It proposes a novel two-stage encoding strategy using list-decodable and low-rate codes, and establishes bounds on code sizes and error thresholds for asymmetric errors.

Findings

Sharp transition at ~44% error rate for two-stage strategies

Bounds on list-decodable code sizes for the Z-channel

Code size limits for asymmetric errors exceeding 25%

Abstract

In this paper, we discuss two-stage encoding algorithms capable of correcting a fraction of asymmetric errors. Suppose that the encoder transmits $n$ binary symbols $(x_1,\ldots,x_n)$ one-by-one over the Z-channel, in which a 1 is received only if a 1 is transmitted. At some designated moment, say $n_1$, the encoder uses noiseless feedback and adjusts further encoding strategy based on the partial output of the channel $(y_1,\ldots,y_{n_1})$. The goal is to transmit error-free as much information as possible under the assumption that the total number of errors inflicted by the Z-channel is limited by $\tau n$, $0<\tau<1$. We propose an encoding strategy that uses a list-decodable code at the first stage and a high-error low-rate code at the second stage. This strategy and our converse result yield that there is a sharp transition at $\tau=\max\limits_{0<w<1}\frac{w + w^3}{1+4w^3}\approx 0.44$ from positive rate to zero rate for two-stage encoding strategies. As side results, we derive bounds on the size of list-decodable codes for the Z-channel and prove that for a fraction $1/4+\epsilon$ of asymmetric errors, an error-correcting code contains at most $O(\epsilon^{-3/2})$ codewords.