Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > cs > arXiv:2212.02732v2

Help | Advanced Search

Computer Science > Information Theory

arXiv:2212.02732v2 (cs)
[Submitted on 6 Dec 2022 (v1) , last revised 8 Dec 2022 (this version, v2)]

Title: Deterministic $K$-identification For Slow Fading Channel

Title: 确定性$K$-识别 对于慢衰落信道

Authors:Mohammad Javad Salariseddigh, Muris Spahovic, Christian Deppe
Abstract: Deterministic $K$-identification (DKI) is addressed for Gaussian channels with slow fading (GSF), where the transmitter is restricted to an average power constraint and channel side information is available at the decoder. We derive lower and upper bounds on the DKI capacity when the number of identifiable messages $K$ may grow sub-linearly with the codeword length $n$. As a key finding, we establish that for deterministic encoding, assuming that the number of identifiable messages $K = 2^{\kappa \log n}$ with $\kappa \in [0,1)$ being the identification target rate, the codebook size scales as $2^{(n\log n)R}$, where $R$ is the coding rate.
Abstract: 确定性$K$-识别 (DKI) 被用于具有慢衰落的高斯信道 (GSF),其中发送端受到平均功率约束,解码器处有信道侧信息。 当可识别消息的数量$K$可以随着码字长度$n$以次线性方式增长时,我们推导出 DKI 容量的下界和上界。 作为一个关键发现,我们建立了一个结论,对于确定性编码,假设可识别消息的数量$K = 2^{\kappa \log n}$,其中$\kappa \in [0,1)$是识别目标速率,码本大小按$2^{(n\log n)R}$缩放,其中$R$是编码速率。
Comments: arXiv admin note: substantial text overlap with arXiv:2211.11024, arXiv:2203.02784
Subjects: Information Theory (cs.IT)
Cite as: arXiv:2212.02732 [cs.IT]
  (or arXiv:2212.02732v2 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2212.02732
arXiv-issued DOI via DataCite

Submission history

From: Mohammad Javad Salariseddigh [view email]
[v1] Tue, 6 Dec 2022 03:40:17 UTC (33 KB)
[v2] Thu, 8 Dec 2022 07:43:28 UTC (33 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • TeX Source
view license
Current browse context:
cs.IT
< prev   |   next >
new | recent | 2022-12
Change to browse by:
cs
math
math.IT

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号