On Communication through a Gaussian Channel with an MMSE Disturbance Constraint
Alex Dytso, Ronit Bustin, Daniela Tuninetti, Natasha Devroye,, H.Vincent Poor, Shlomo Shamai (Shitz)

TL;DR
This paper develops new bounds on MMSE for Gaussian channels with multiple receivers, enabling better understanding of the trade-offs between communication rate and interference disturbance constraints.
Contribution
It introduces a novel upper bound on MMSE applicable to vector inputs of any length, refining the analysis of phase transitions in interference-limited Gaussian channels.
Findings
New upper bound on MMSE for all SNRs below a certain threshold.
Refined characterization of phase-transition phenomena in MMSE behavior.
Matching lower bounds for scalar inputs within a logarithmic gap.
Abstract
This paper considers a Gaussian channel with one transmitter and two receivers. The goal is to maximize the communication rate at the intended/primary receiver subject to a disturbance constraint at the unintended/secondary receiver. The disturbance is measured in terms of minimum mean square error (MMSE) of the interference that the transmission to the primary receiver inflicts on the secondary receiver. The paper presents a new upper bound for the problem of maximizing the mutual information subject to an MMSE constraint. The new bound holds for vector inputs of any length and recovers a previously known limiting (when the length of vector input tends to infinity) expression from the work of Bustin The key technical novelty is a new upper bound on the MMSE. This bound allows one to bound the MMSE for all signal-to-noise ratio (SNR) values a certain…
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