Spectrum efficiency enhancement for cell-free massive MIMO through large-scale fading.

Abstract

Over the past several decades, mobile data traffic has increased significantly to deliver it necessary to support massive connectivity in the Sixth Generation (6G). Pilot contamination is a phenomenon that can cause coherent intercell interference in massive Multiple-Input Multiple-Output (MIMO) systems. Due to inter-cell interference and significant quality-of-service variations, cell-free massive MIMO is a promising solution to enhance and reduce pilot contamination to satisfy the rising demand for the 6G wireless communications data rate. This research focuses on the signal processing aspect and gives a thorough investigation of cell-free massive MIMO for 6G wireless communication networks. To reduce inter-cell interference, we specifically present a channel estimate method based on the estimation of Large-Scale Fading (LSF) for cell-free massive MIMO, by purely dispersed access points to achieve Spectrum Efficiency (SE), transmitter, and receiver design, as well as power regulation and allocation. The simulation results demonstrate that in multi-cell massive MIMO systems, the sum SE performance is improved by both data power regulation and LSF.