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Deterministic Equivalent-Based Resource Allocation for Cell-Free Massive MIMO
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DOI：10.1109/TCOMM.2026.3672179.png)
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Abstract
En 中文
This paper considers a practical cell-free massive multiple-input multiple-output (CF-mMIMO) architecture within an open radio access network, where edge distributed units (EDUs) and user-centric distributed units (UCDUs) collaboratively handle physical-layer functions (e.g., channel estimation, precoding), while the open radio units (ORUs) are responsible for radio-frequency transmission and reception with the user equipment (UE). Based on large-dimensional random matrix theory, we derive a deterministic equivalent (DE) expression for the ergodic sum SE under imperfect statistical channel state information (S-CSI). Thanks to this DE-assisted result, two optimization problems: 1) sum power minimization and 2) ergodic sum spectral efficiency (SE) maximization, are addressed through regularized parameter tuning in local partial regularized zero-forcing (LP-RZF), and power control with large-scale fading (LSF)-based EDU-ORU deployment and ORU-UE association. Numerical results validate the tightness of the DE-based ergodic sum SE expression and demonstrate the effectiveness of the LP-RZF scheme compared to the benchmark schemes. Meanwhile, the reduced computational complexity is achieved with acceptable performance loss.
Keywords:
Cell-free massive MIMO (CF-mMIMO)
deterministic equivalent (DE)
ergodic sum spectral efficiency (SE)
local partial regularized zero-forcing (LP-RZF)
Journal
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8.3
Papers:
1.2W
Citations:
3.6W