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Feedback Capacity of the Continuous-Time ARMA(1,1) Gaussian Channel

Jun Su, Guangyue Han, Shlomo Shamai

Research output: Contribution to journalArticlepeer-review

Abstract

We consider the continuous-time ARMA(1,1) Gaussian channel and derive its feedback capacity in closed form. More specifically, the channel is given by y(t) = x(t) + z(t) , where the channel input {x(t)} satisfies average power constraint P and the noise {z(t)} is a first-order autoregressive moving average (ARMA(1,1)) Gaussian process satisfying z'(t)+κz(t)=(κ +λ)w(t)+w'(t) , where κ > 0, λ ϵ R and {w(t)} is a white Gaussian process with unit double-sided spectral density. We show that the feedback capacity of this channel is equal to the unique positive root of the equation P(x+κ)2 = 2x(x+| κ +λ |)2 when -2κ < λ < 0 and is equal to P/2 otherwise. Among many others, this result shows that, as opposed to a discrete-time additive Gaussian channel, feedback may not increase the capacity of a continuous-time additive Gaussian channel even if the noise process is colored. The formula enables us to conduct a thorough analysis of the effect of feedback on the capacity for such a channel. We characterize when the feedback capacity equals or doubles the non-feedback capacity; moreover, we disprove continuous-time analogues of the half-bit bound and Cover's 2P conjecture for discrete-time additive Gaussian channels.

Original languageEnglish
Pages (from-to)6171-6188
Number of pages19
JournalIEEE Transactions on Information Theory
Volume70
Issue number9
DOIs
StatePublished - 2024

Keywords

  • AWGN channels
  • Additives
  • Channel capacity
  • Encoding
  • Feedback amplifiers
  • Gaussian channels
  • Gaussian processes
  • Random variables
  • colored noise
  • continuous-time systems
  • feedback

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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