@article{06d18693b24242898844b5a63a7ccb4d,
title = "On communication through a Gaussian channel with an MMSE disturbance constraint",
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 the minimum mean square error (MMSE) of the interference that the transmission to the primary receiver inflicts on the secondary receiver. This 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 the vector input tends to infinity) expression from the work of Bustin et al. 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 below a certain SNR at which the MMSE is known (which corresponds to the disturbance constraint). The bound also complements the “single-crossing point property” of the MMSE that upper bounds the MMSE for all SNR values above a certain value at which the MMSE value is known. The MMSE upper bound provides a refined characterization of the phase-transition phenomenon, which manifests, in the limit as the length of the vector input goes to infinity, as a discontinuity of the MMSE for the problem at hand. For vector inputs of size n = 1, a matching lower bound, to within an additive gap of order O(log log(1/MMSE)) (where MMSE is the disturbance constraint), is shown by means of the mixed inputs technique recently introduced by Dytso et al.",
keywords = "Discrete inputs, MMSE",
author = "Alex Dytso and Ronit Bustin and Daniela Tuninetti and Natasha Devroye and Poor, {H. Vincent} and Shlomo Shamai",
note = "Funding Information: A. Dytso was supported in part by U.S. National Science Foundation (NSF) under Grants CNS-1456793, CCF-1420575, and CCF-1422511. R. Bustin was supported in part by a Women Postdoctoral Scholarship of Israel?s Council for Higher Education (VATAT) 2014-2015 and in part by the European Union?s Horizon 2020 Research and Innovation Programme, under Grant 694630. D. Tuninetti and N. Devroye were supported by the NSF under Grant CCF-1422511. H. V. Poor was supported by the NSF under Grants CNS-1456793 and CCF-1420575. S. Shamai (Shitz) was supported in part by the Israel Science Foundation, in part by the S. and N. Grand Research Fund, and in part by the European Union?s Horizon 2020 Research and Innovation Programme, under Grant 694630. The contents of this article are solely the responsibility of the authors and do not necessarily represent the official views of the funding agencies. This paper was presented in part in [1]. Funding Information: Manuscript received March 24, 2016; revised December 29, 2016; accepted August 7, 2017. Date of publication August 31, 2017; date of current version December 20, 2017. A. Dytso was supported in part by U.S. National Science Foundation (NSF) under Grants CNS-1456793, CCF-1420575, and CCF-1422511. R. Bustin was supported in part by a Women Postdoctoral Scholarship of Israel{\textquoteright}s Council for Higher Education (VATAT) 2014-2015 and in part by the European Union{\textquoteright}s Horizon 2020 Research and Innovation Programme, under Grant 694630. D. Tuninetti and N. Devroye were supported by the NSF under Grant CCF-1422511. H. V. Poor was supported by the NSF under Grants CNS-1456793 and CCF-1420575. S. Shamai (Shitz) was supported in part by the Israel Science Foundation, in part by the S. and N. Grand Research Fund, and in part by the European Union{\textquoteright}s Horizon 2020 Research and Innovation Programme, under Grant 694630. The contents of this article are solely the responsibility of the authors and do not necessarily represent the official views of the funding agencies. This paper was presented in part in [1]. Publisher Copyright: {\textcopyright} 2017 IEEE.",
year = "2018",
month = jan,
doi = "10.1109/TIT.2017.2747556",
language = "English (US)",
volume = "64",
pages = "513--530",
journal = "IRE Professional Group on Information Theory",
issn = "0018-9448",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",
}