Robust Precoding for Resilient Cell-Free Networks
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Abstract (arXiv)
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.
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References · 5
- 2016Design of Robust Adaptive Beamforming Algorithms Based on Low-Rank and Cross-Correlation Techniquescited by 20
- 2019Scalable Cell-Free Massive MIMO Systemscited by 19
- 2018Ubiquitous Cell-Free Massive MIMO Communicationscited by 8
- 2021User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutionscited by 8
- 2022Rate-Splitting assisted Massive Machine-Type Communications in Cell-Free Massive MIMOcited by 3
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