Power Minimization in Cell-Free Massive MIMO with AP Selection Algorithm

Abstract

Background: The cell-free massive multiple input multiple outputs (CF M-MIMO) is the key and emerging technology for 5G and beyond, which gains more attention from many researchers and academicians. The cell-free M-MIMO enhances the system throughput, latency, spectral efficiency (SE), and energy efficiency (EE) of the communication network. Objective: In this paper, we formulate a framework for joint access point selection (APS) and power control algorithm for improving the EE and at the same time maintaining the system capacity. Methods: The max-min power control algorithm is used for efficient power allocation among the access points (APs) by using the minimum mean square error (MMSE), zero-forcing (ZF), and conjugate beam-forming (CB). Results: We were successfully able to enhance and maintain the optimal system capacity of the cellfree M-MIMO systems. Conclusion: The simulation result shows that the system capacity is improved when efficiently allocating the power with max-min power control algorithm.