Advanced Resource Management in Cell-Free Massive MIMO Systems with WINNER II Channels

The evolution toward Beyond 5G (B5G) and Sixth-Generation (6G) networks demands innovative solutions to enhance connectivity and network efficiency. Cell-free massive multiple-input multiple-output (CF-mMIMO) systems address these challenges by deploying distributed access points (APs) to provide consistent coverage and mitigate interference, making them particularly valuable in high-mobility scenarios like vehicular communications. This paper presents novel algorithms for efficient frequency resource allocation in CF-mMIMO systems, focusing on user pairing and subband sharing. By enabling multiple users to share a single subband while minimizing condition number (CN) and channel correlation (CC), these strategies significantly improve resource utilization. Simulation results using the WINNER II channel model demonstrate notable gains in efficiency and sustained user spectral efficiency (SE). Comparisons with a Best-Fit Subband (BFS) allocation strategy further highlight the importance of effective resource allocation in advancing the performance and scalability of CF-mMIMO for future networks.