Algorithmic Computability of the Capacity of Additive Colored Gaussian Noise Channels
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
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 language | English |
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Title of host publication | GLOBECOM 2023 - 2023 IEEE Global Communications Conference |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 4375-4380 |
Number of pages | 6 |
ISBN (electronic) | 979-8-3503-1090-0 |
Publication status | Published - 2023 |
Peer-reviewed | Yes |
Publication series
Series | IEEE Conference on Global Communications (GLOBECOM) |
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ISSN | 1930-529X |
Conference
Title | 2023 IEEE Global Communications Conference |
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Subtitle | Intelligent Communications for Shared Prosperity |
Abbreviated title | GLOBECOM 2023 |
Duration | 4 - 8 December 2023 |
Website | |
Location | Kuala Lumpur Convention Centre |
City | Kuala Lumpur |
Country | Malaysia |
External IDs
ORCID | /0000-0002-1702-9075/work/165878243 |
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