Evaluating channels for control: capacity reconsidered
Anant Sahai
Abstract
Anant Sahai
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.
OpenAlex reports 62 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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