Abstract
We address the problem of modulating a parameter onto a power-limited signal, transmitted over a discrete-time Gaussian channel and estimating this parameter at the receiver. Continuing an earlier work, where the optimal trade-off between the weak-noise estimation performance and the outage probability (threshold-effect breakdown) was studied for a single (scalar) parameter, here we extend the derivation of the weak-noise estimation performance to the case of a multi-dimensional vector parameter. This turns out to be a non-trivial extension, that provides a few insights, and it has some interesting implications, which are discussed in depth. Several modifications and extensions of the basic setup are also studied and discussed.
| Original language | English |
|---|---|
| Article number | 8890878 |
| Pages (from-to) | 3268-3276 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Information Theory |
| Volume | 66 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2020 |
Keywords
- Parameter estimation
- channel capacity
- modulation
- quantization
- threshold effect
- waveform communication
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Science Applications
- Library and Information Sciences