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Robust Precoding for Resilient Cell-Free Networks

Information Theory 2025-12-02 v1 Machine Learning math.IT

Abstract

This paper presents a robust precoder design for resilient cell-free massive MIMO (CF-mMIMO) systems that minimizes the weighted sum of desired signal mean square error (MSE) and residual interference leakage power under a total transmit power constraint. The proposed robust precoder incorporates channel state information (CSI) error statistics to enhance resilience against CSI imperfections. We employ an alternating optimization algorithm initialized with a minimum MSE-type solution, which iteratively refines the precoder while maintaining low computational complexity and ensuring fast convergence. Numerical results show that the proposed method significantly outperforms conventional linear precoders, providing an effective balance between performance and computational efficiency.

Keywords

Cite

@article{arxiv.2512.00531,
  title  = {Robust Precoding for Resilient Cell-Free Networks},
  author = {Saeed Mashdour and André R. Flores and Rodrigo C. de Lamare},
  journal= {arXiv preprint arXiv:2512.00531},
  year   = {2025}
}

Comments

2 figures, 6 pages

R2 v1 2026-07-01T08:00:56.100Z