What type of study is this?

September 10, 2025Open Access

Stacked Intelligent Metasurface Assisted Multiuser Communications: From a Rate Fairness Perspective

View Full Paper

Ask AI

Bookmark

Maximizing minimum rates enhances fairness among users while promoting equitable access.
Numerical results validate that the proposed algorithms effectively achieve desired performance metrics.
The study employs a consensus alternating direction method of multipliers for optimal problem-solving.
Proposed algorithms show notable improvements in performance against existing methods.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

This investigation reveals optimized strategies for rate fairness in multiuser communications, highlighting two key approaches: maximizing minimum rates and geometric mean rates.

Cite This Study

Fang et al. (2025) studied this question.

synapsesocial.com/papers/68c1aacc54b1d3bfb60e35e9 https://doi.org/10.36227/techrxiv.175416038.88954274/v1

View Full Paper

Ask AI

Bookmark

Implication

This investigation reveals optimized strategies for rate fairness in multiuser communications, highlighting two key approaches: maximizing minimum rates and geometric mean rates.

Stacked Intelligent Metasurface Assisted Multiuser Communications: From a Rate Fairness Perspective

Key Points

Discussion

Implication

Cite This Study

Stacked Intelligent Metasurface Assisted Multiuser Communications: From a Rate Fairness Perspective

Key Points

Discussion

Implication

Cite This Study

Keep reading

Keep reading