Skip to main content
archive
Search Submit Donate Log in
Press Enter to search · Advanced search

Computer Science > Information Theory

arXiv:2601.08326 (cs)
[Submitted on 13 Jan 2026]

Title:From Antenna Abundance to Antenna Intelligence in 6G Gigantic MIMO Systems

Authors:Emil Björnson, Amna Irshad, Özlem Tugfe Demir, Giuseppe Thadeu Freitas de Abreu, Alva Kosasih, Vitaly Petrov
View a PDF of the paper titled From Antenna Abundance to Antenna Intelligence in 6G Gigantic MIMO Systems, by Emil Bj\"ornson and 5 other authors
View PDF HTML (experimental)
Abstract:Current cellular systems achieve high spectral efficiency through Massive MIMO, which leverages an abundance of antennas to create favorable propagation conditions for multiuser spatial multiplexing. Looking towards future networks, the extrapolation of this paradigm leads to systems with many hundreds of antennas per base station, raising concerns regarding hardware complexity, cost, and power consumption. This article suggests more intelligent array designs that reduce the need for excessive antenna numbers. We revisit classical uniform array design principles and explain how their uniform spatial sampling leads to unnecessary redundancies in practical deployment scenarios. By exploiting non-uniform sparse arrays with site-specific antenna placements -- based on either pre-optimized irregular arrays or real-time movable antennas -- we demonstrate how superior multiuser MIMO performance can be achieved with far fewer antennas. These principles are inspired by previous works on wireless localization. We explain and demonstrate numerically how these concepts can be adapted for communications to improve the average sum rate and similar metrics. The results suggest a paradigm shift for future antenna array design, where antenna intelligence replaces sheer antenna count. This opens new opportunities for efficient, adaptable, and sustainable Gigantic MIMO systems.
Comments: Submitted for publication, 8 pages, 6 figures
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2601.08326 [cs.IT]
  (or arXiv:2601.08326v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2601.08326
arXiv-issued DOI via DataCite

Submission history

From: Emil Björnson [view email]
[v1] Tue, 13 Jan 2026 08:29:36 UTC (5,760 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled From Antenna Abundance to Antenna Intelligence in 6G Gigantic MIMO Systems, by Emil Bj\"ornson and 5 other authors
  • View PDF
  • HTML (experimental)
  • TeX Source
view license

Current browse context:

cs.IT
< prev   |   next >
new | recent | 2026-01
Change to browse by:
cs
eess
eess.SP
math
math.IT

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
Loading...

BibTeX formatted citation

Data provided by:

Bookmark

BibSonomy Reddit

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?)
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?)
  • 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?)
We gratefully acknowledge support from our major funders, member institutions, , and all contributors.
About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)
Major funding support from
Simons Foundation Simons Foundation International Schmidt Sciences