In this paper, we consider the problem of variable-length coding over the class of memoryless binary asymmetric channels (BACs) with noiseless feedback, including the binary symmetric channel (BSC) as a special case. In 2012, Naghshvar et al. introduced an encoding scheme, which we refer to as the small-enough-difference (SED) encoder, which asymptotically achieves both capacity and Burnashev's optimal error exponent for symmetric binary-input channels. Building on the work of Naghshvar et al., this paper extends the SED encoding scheme to the class of BACs and develops a non-asymptotic upper bound on the average blocklength that is shown to achieve both capacity and the optimal error exponent. For the specific case of the BSC, we develop an additional non-asymptotic bound using a two-phase analysis that leverages both a submartingale synthesis and a Markov chain time of first passage analysis. For the BSC with capacity $1/2$, both new achievability bounds exceed the achievability bound of Polyanskiy et al. for a system limited to stop-feedback codes.
翻译:在本文中,我们考虑的是无记忆的双对称频道(BACs)等级的可变长编码问题,无噪音反馈包括二进制对称频道(BSC)作为特例。2012年,Naghshvar等人推出了一个编码办法,我们称之为小到足差异编码器(SED)编码器,在对称二进制输入频道(Banashev)中,该办法在功能和伯纳舍夫的最佳误差中均无反应。在Naghshvar等人的工作基础上,本文件将SED编码办法扩展到二进制对称频道(BSC)的类别,并在平均区长上开发一个非非自动对称上限的编码,以达到能力和最佳误差。在BSC的具体案例中,我们利用一个两阶段分析,利用子对称合成和Markov 链段的时间,将SED编码扩展为BSC的1/2美元,新的可调制和可阻断性代码均超过一级。