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Evaluating channels for control: capacity reconsidered

Anant Sahai

Open publisher page 62 citations

Abstract

We show that Shannon's classical notion of capacity is not enough to characterize a communication channel if we intend to use that channel as a part of a feedback loop. This is done by considering the stabilization problem for a simple discrete time linear system. While classical capacity is not enough, we show by example that the stricter notion of Shannon's zero-error capacity is conservative. We finish by introducing a new parametric notion of capacity that we call "any-time capacity" and evaluate it for two channels with feedback: the continuous valued additive white Gaussian noise channel and the binary erasure channel.

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What this paper is about

We show that Shannon's classical notion of capacity is not enough to characterize a communication channel if we intend to use that channel as a part of a feedback loop. This is done by considering the stabilization problem for a simple discrete time linear system. While classical capacity is not enough, we show by example that the stricter notion of Shannon's zero-error capacity is conservative. We finish by introducing a new parametric notion of capacity that we call "any-time capacity" and evaluate it for two channels with feedback: the continuous valued additive white Gaussian noise channel and the binary erasure channel.

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OpenAlex reports 62 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We show that Shannon's classical notion of capacity is not enough to characterize a communication channel if we intend to use that channel as a part of a feedback loop. This is done by considering the stabilization problem for a simple discrete time linear system. While classical capacity is not enough, we show by example that the stricter notion of Shannon's zero-error capacity is conservative. We finish by introducing a new parametric notion of capacity that we call "any-time capacity" and evaluate it for two channels with feedback: the continuous valued additive white Gaussian noise channel and the binary erasure channel.

Key concepts: Binary erasure channel, Channel capacity, Channel (broadcasting), Additive white Gaussian noise, Erasure, Shannon–Hartley theorem, Computer science, Gaussian

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