@inproceedings{1d825bc94b54497292c0a1402d3ef777,
title = "Common Randomness Generation from Gaussian Sources",
abstract = "We study the problem of common randomness (CR) generation in the basic two-party communication setting in which the sender and the receiver aim to agree on a common random variable with high probability by observing independent and identically distributed (i.i.d.) samples of correlated Gaussian sources and while communicating as little as possible over a noisy memoryless channel. We completely solve the problem by giving a single-letter characterization of the CR capacity for the proposed model and by providing rigorous proof of it We prove that the CR capacity is infinite when the Gaussian sources are perfectly correlated.",
keywords = "Common randomness generation, Gaussian sources, memoryless channels",
author = "Wafa Labidi and Rami Ezzine and Christian Deppe and Holger Boche",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Symposium on Information Theory, ISIT 2022 ; Conference date: 26-06-2022 Through 01-07-2022",
year = "2022",
doi = "10.1109/ISIT50566.2022.9834514",
language = "English",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1548--1553",
booktitle = "2022 IEEE International Symposium on Information Theory, ISIT 2022",
}