Algorithmic Computability of the Capacity of Additive Colored Gaussian Noise Channels

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

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

OriginalspracheEnglisch
TitelGLOBECOM 2023 - 2023 IEEE Global Communications Conference
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten4375-4380
Seitenumfang6
ISBN (elektronisch)979-8-3503-1090-0
PublikationsstatusVeröffentlicht - 2023
Peer-Review-StatusJa

Publikationsreihe

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

Konferenz

Titel2023 IEEE Global Communications Conference
UntertitelIntelligent Communications for Shared Prosperity
KurztitelGLOBECOM 2023
Dauer4 - 8 Dezember 2023
Webseite
OrtKuala Lumpur Convention Centre
StadtKuala Lumpur
LandMalaysia

Externe IDs

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