Closed-form max-min power control for some cellular and cell-free massive MIMO networks
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Abstract (arXiv)
Many common instances of power control problems for cellular and cell-free massive MIMO networks can be interpreted as max-min utility optimization problems involving affine interference mappings and polyhedral constraints. We show that these problems admit a closed-form solution which depends on the spectral radius of known matrices. In contrast, previous solutions in the literature have been indirectly obtained using iterative algorithms based on the bisection method, or on fixed-point iterations. Furthermore, we also show an asymptotically tight bound for the optimal utility, which in turn provides a simple rule of thumb for evaluating whether the network is operating in the noise or interference limited regime. We finally illustrate our results by focusing on classical max-min fair power control for cell-free massive MIMO networks.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 May 2022.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 3.
4 papers.
- 2025Transformer-Based Power Optimization for Max-Min Fairness in Cell-Free Massive MIMOcited by 3
- 2025Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networkscited by 1
- 2022A Learning-Based Approach to Approximate Coded Computationcited by 0
- 2025Tree Meets Transformer: A Hybrid Architecture for Scalable Power Allocation in Cell-Free Networkscited by 0
- 2025Tree Meets Transformer: A Hybrid Architecture for Scalable Power Allocation in Cell-Free Networks27 Dec 2025
- 2025Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks19 Dec 2025
- 2025Transformer-Based Power Optimization for Max-Min Fairness in Cell-Free Massive MIMO5 Mar 2025
- 2022A Learning-Based Approach to Approximate Coded Computation19 May 2022