Adaptive Hybrid Precoding Strategy for Cell-Free Massive MIMO

Abstract

Abstract This work presents an adaptive hybrid signal precoding strategy for Cell-Free (CF) Massive multiple-input multiple-output (MIMO) systems. The proposed solution exploits the advantages of both distributed and centralized signal processing schemes to perform precoding. In our proposal, some access points (APs) are dynamically configured to be used in a centralized precoding scheme, whereas others are adjusted to employ a distributed method. Simulation results show that it is possible to achieve a good compromise between spectral efficiency (SE) and computational complexity (CC) in CF Massive MIMO systems finding a sensible balance between APs utilized in centralized and distributed precoding. To the best of our knowledge, prior-art solutions have not addressed an adaptive hybrid precoding method itself, they have only proposed a specific solution for each architecture, i.e., distributed or centralized.

Keywords

• Cell-free (CF) massive multiple-input multiple-output (MIMO)
• hybrid precoding
• minimum mean-square error (MMSE)
• maximum ratio transmission (MRT)
• spectral efficiency (SE).