Improving on the Cut-Set Bound via Geometric Analysis of Typical Sets.

IEEE Trans. Information Theory(2017)

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摘要
We consider the discrete memoryless symmetric primitive relay channel, where, a source $X$ wants to send information to a destination $Y$ with the help of a relay $Z$ and the relay can communicate to the destination via an error-free digital link of rate $R_{0}$ , while $Y$ and $Z$ are conditionally independent and identically distributed given $X$ . We develop two new upper bounds on the capacity of this channel that are tighter than existing bounds, including the celebrated cut-set bound. Our approach significantly deviates from the standard information-theoretic approach for proving upper bounds on the capacity of multi-user channels. We build on the blowing-up lemma to analyze the probabilistic geometric relations between the typical sets of the $n$ -letter random variables associated with a reliable code for communicating over this channel. These relations translate to new entropy inequalities between the $n$ -letter random variables involved. As an application of our bounds, we study an open question posed by (Cover, 1987), namely, what is the minimum rate $R_{0}^{*}$ needed for the $Z$ – $Y$ link in order for the capacity of the relay channel to be equal to that of the broadcast cut. We consider the special case when the $X$ – $Y$ and $X$ – $Z$ links are both binary symmetric channels. Our tighter bounds on the capacity of the relay channel immediately translate to tighter lower bounds for $R_{0}^{*}$ . More interestingly, we show that when $p\\to 1/2$ , $R_{0}^{*}\\geq 0.1803$ ; even though the broadcast channel becomes completely noisy as $p\\to 1/2$ and its capacity, and therefore the capacity of the relay channel, goes to zero, a strictly positive rate $R_{0}$ is required for the relay channel capacity to be equal to the broadcast bound. Existing upper bounds on the capacity of the relay channel, and the cut-set bound in particular, would rather imply $R_{0}^{*}\\to 0$ , while achievability schemes require $R_{0}^{*}\\to 1$ . We conjecture that $R_{0}^{*}\\to 1$ as $p\\to 1/2$ .
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关键词
Relays,Upper bound,Channel capacity,Random variables,Entropy,Reliability,Noise measurement
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