Galaxy Codes: Advancing Achievability for Deterministic Identification via Gaussian Channels

Fuente: arXiv
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Auteurs principaux: Boche, Holger, Deppe, Christian, Mahmoodi, Safieh, Omidi, Golamreza
Format: Preprint
Publié: 2025
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author Boche, Holger
Deppe, Christian
Mahmoodi, Safieh
Omidi, Golamreza
author_facet Boche, Holger
Deppe, Christian
Mahmoodi, Safieh
Omidi, Golamreza
contents Deterministic identification offers an efficient solution for scenarios where decoding entire messages is unnecessary. It is commonly used in alarm systems and control systems. A key advantage of this approach is that the capacity for deterministic identification in Gaussian channels with power constraints grows superexponentially, unlike Shannon's transmission capacity. This allows for a significantly higher number of messages to be transmitted using this event-driven method. So far, only upper and lower bounds for deterministic identification capacity have been established. Our work introduces a novel construction: galaxy codes for deterministic identification. Using these codes, we demonstrate an improvement in the achievability bound of 1/4 to 3/8, representing a previously unknown advance that opens new possibilities for efficient communication.
format Preprint
id arxiv_https___arxiv_org_abs_2501_12548
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Galaxy Codes: Advancing Achievability for Deterministic Identification via Gaussian Channels
Boche, Holger
Deppe, Christian
Mahmoodi, Safieh
Omidi, Golamreza
Information Theory
Deterministic identification offers an efficient solution for scenarios where decoding entire messages is unnecessary. It is commonly used in alarm systems and control systems. A key advantage of this approach is that the capacity for deterministic identification in Gaussian channels with power constraints grows superexponentially, unlike Shannon's transmission capacity. This allows for a significantly higher number of messages to be transmitted using this event-driven method. So far, only upper and lower bounds for deterministic identification capacity have been established. Our work introduces a novel construction: galaxy codes for deterministic identification. Using these codes, we demonstrate an improvement in the achievability bound of 1/4 to 3/8, representing a previously unknown advance that opens new possibilities for efficient communication.
title Galaxy Codes: Advancing Achievability for Deterministic Identification via Gaussian Channels
topic Information Theory
url https://arxiv.org/abs/2501.12548