Modulation and Estimation With a Helper

The problem of transmitting a parameter value over an additive white Gaussian noise (AWGN) channel is considered, where, in addition to the transmitter and the receiver, there is a helper that observes the noise non-causally and provides a description of limited rate
$R_{\mathrm {h}}$
to the transmitter and/or the receiver. We derive upper and lower bounds on the optimal achievable
$\alpha $
-th moment of the estimation error and show that they coincide for small values of
$\alpha $
and for high values of
$R_{\mathrm {h}}$
. The upper bound relies on a recently proposed channel-coding scheme that effectively conveys
$R_{\mathrm {h}}$
bits essentially error-free and the rest of the rate—over the same AWGN channel without help, with the error-free bits being allocated to the most significant bits of the quantized parameter. We then concentrate on the setting with a total transmit energy constraint, for which we derive achievability results for both channel coding and parameter modulation for several scenarios: when the helper assists only the transmitter or only the receiver and knows the noise, and when the helper assists the transmitter and/or the receiver and knows both the noise and the message. In particular, for the message-informed helper that assists both the receiver and the transmitter, it is shown that the error probability in the channel-coding task decays doubly exponentially. Finally, we translate these results to those for continuous-time power-limited AWGN channels with unconstrained bandwidth. As a byproduct, we show that the capacity with a message-informed helper that is available only at the transmitter can exceed the sum of the capacity without help and the help rate
$R_{\mathrm {h}}$
.