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:2510.12406

Help | Advanced Search

Computer Science > Information Theory

arXiv:2510.12406 (cs)
[Submitted on 14 Oct 2025 ]

Title: Hybrid centralized-distributed precoding in fronthaul-constrained CF-mMIMO systems

Title: 前传受限的CF-mMIMO系统中的混合集中式-分布式预编码

Authors:Zahra Mobini, Hien Quoc Ngo, Ardavan Rahimian, Anvar Tukmanov, David Townend, Michail Matthaiou, Simon L. Cotton
Abstract: We investigate a fronthaul-limited cell-free massive multiple-input multiple-output (CF-mMIMO) system and propose a hybrid centralized-distributed precoding strategy that dynamically adapts to varying fronthaul and spectral efficiency (SE) requirements. The proposed approach divides users into two groups: one served by centralized precoding and the other by distributed precoding. We formulate a novel optimization problem for user grouping and power control aimed at maximizing the sum SE, subject to fronthaul and per-access point (AP) power constraints. To tackle the problem, we transform it into a tractable form and propose efficient solution algorithms. Numerical results confirm the hybrid scheme's versatility and superior performance, consistently outperforming fully centralized and distributed approaches across diverse system configurations.
Abstract: 我们研究了一个前传受限的无蜂窝大规模多输入多输出(CF-mMIMO)系统,并提出了一种混合集中式-分布式预编码策略,该策略可动态适应不同的前传和频谱效率(SE)需求。 所提出的方法将用户分为两组:一组由集中式预编码服务,另一组由分布式预编码服务。 我们提出了一个新颖的优化问题,用于用户分组和功率控制,旨在最大化总SE,同时满足前传和每个接入点(AP)的功率约束。 为了解决这个问题,我们将问题转化为一种易于处理的形式,并提出了高效的解决方案算法。 数值结果证实了混合方案的通用性和优越性能,在各种系统配置下始终优于完全集中式和分布式方法。
Subjects: Information Theory (cs.IT)
Cite as: arXiv:2510.12406 [cs.IT]
  (or arXiv:2510.12406v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2510.12406
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Zahra Mobini Mobini [view email]
[v1] Tue, 14 Oct 2025 11:38:51 UTC (151 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • HTML (experimental)
  • TeX Source
license icon view license
Current browse context:
cs.IT
< prev   |   next >
new | recent | 2025-10
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