Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Computer Science > Information Theory

arXiv:1604.01113 (cs)
[Submitted on 5 Apr 2016]

Title:Layered Uplink Transmission in Clustered Cellular Networks

Authors:Anatoly Khina, Tal Philosof, Moshe Laifenfeld
View PDF
Abstract:The demand for higher data rates and the scarce spectrum resources drive the adoption of collaborative communication techniques. In this work we shown that the existing cluster based collaborative schemes can be greatly improved in terms of both the achievable performance, and complexity, by allowing overlapping across clusters. Further improvement is achieved by incorporating scheduling to the decoding process. Different variants of the improved schemes are considered and are shown to achieve near optimum performance for practical signal-to-noise ratios for the one- and two-dimensional (hexagonal) Wyner-type models.
Subjects: Information Theory (cs.IT)
Cite as: arXiv:1604.01113 [cs.IT]
  (or arXiv:1604.01113v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.1604.01113

Submission history

From: Anatoly Khina [view email]
[v1] Tue, 5 Apr 2016 02:19:10 UTC (710 KB)
Full-text links:

Access Paper:

  • View PDF
  • TeX Source
  • Other Formats
view license
Current browse context:
cs.IT
< prev   |   next >
new | recent | 2016-04
Change to browse by:
cs
math
math.IT

References & Citations

DBLP - CS Bibliography

listing | bibtex
Anatoly Khina
Tal Philosof
Moshe Laifenfeld
export BibTeX citation

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?)

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?)