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Streaming data transmission in the moderate deviations and central limit regimes

机译:在中等偏差和中心限制范围内的流数据传输

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We consider streaming data transmission over a discrete memoryless channel. A new message is given to the encoder at the beginning of each block and the decoder decodes each message sequentially, after a delay of T blocks. In this streaming setup, we study the fundamental interplay between the rate and error probability in the central limit and moderate deviations regimes and show the following achievability results: i) in the moderate deviations regime, the moderate deviations constant improves over the block coding or non-streaming setup at least by a factor of T and ii) in the central limit regime, the second-order coding rate improves at least by a factor of approximately √T for a wide range of channel parameters. For both the regimes, we propose coding techniques that incorporate a joint encoding of fresh and previous messages. Furthermore, we show that the exponent of the error probability can be improved tremendously by allowing variable decoding delay in the moderate deviations regime.
机译:我们考虑通过离散的无内存通道进行流数据传输。在每个T块的延迟之后,新消息将在每个块的开头提供给编码器,并且解码器将对每个消息进行顺序解码。在这种流设置中,我们研究了中心限制和中等偏差范围内的速率和错误概率之间的基本相互作用,并显示出以下可实现的结果:i)在中等偏差范围内,中等偏差常数比块编码或非块偏差有所改善-在中心极限状态下,流设置至少增加了T个因子和ii),对于宽范围的信道参数,二阶编码率至少提高了约√T因子。对于这两种方式,我们提出了将新的和先前的消息进行联合编码的编码技术。此外,我们表明通过在中等偏差范围内允许可变解码延迟,可以极大地提高错误概率的指数。

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