Algorithmic Computability of the Capacity of Additive Colored Gaussian Noise Channels

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Contributors

Abstract

Designing capacity-achieving coding schemes for the band-limited additive colored Gaussian noise (ACGN) channel has been and is still a challenge. In this paper, the capacity of the band-limited ACGN channel is studied from a fundamental algorithmic point of view by addressing the question of whether or not the capacity can be algorithmically computed. For this purpose, the concept of Turing machines is used, which provides fundamental performance limits of digital computers. It is shown that there are band-limited ACGN channels having a computable continuous spectral density whose capacity is a non-computable number. Moreover, it is demonstrated that for these channels, it is impossible to find a computable sequence of asymptotically sharp upper bounds for their capacity.

Details

Original languageEnglish
Title of host publicationGLOBECOM 2023 - 2023 IEEE Global Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4375-4380
Number of pages6
ISBN (electronic)979-8-3503-1090-0
Publication statusPublished - 2023
Peer-reviewedYes

Publication series

SeriesIEEE Conference on Global Communications (GLOBECOM)
ISSN1930-529X

Conference

Title2023 IEEE Global Communications Conference
SubtitleIntelligent Communications for Shared Prosperity
Abbreviated titleGLOBECOM 2023
Duration4 - 8 December 2023
Website
LocationKuala Lumpur Convention Centre
CityKuala Lumpur
CountryMalaysia

External IDs

ORCID /0000-0002-1702-9075/work/165878243