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 language | English |
|---|---|
| Pages (from-to) | 6171-6188 |
| Number of pages | 19 |
| Journal | IEEE Transactions on Information Theory |
| Volume | 70 |
| Issue number | 9 |
| DOIs | |
| State | Published - 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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