Performance Analysis of Massive MIMO Systems

This document discusses the performance analysis of Massive MIMO systems when the inter-user interference factor is set to 0.3. This topic holds significant importance as Massive MIMO technology is emerging as a key research direction in wireless communications. By studying system performance under different interference factors, we can better understand and optimize Massive MIMO system operations. This research contributes to improving communication quality, increasing network capacity, and enhancing user experience. In technical implementations, the interference factor is typically modeled using mathematical formulations that account for channel correlations and spatial characteristics. The analysis often involves MATLAB simulations using functions like mmse for minimum mean square error estimation and svd for singular value decomposition to handle channel matrices. Performance metrics such as spectral efficiency and bit error rate are commonly evaluated through Monte Carlo simulations with predefined interference covariance matrices. These investigations are crucial for developing advanced signal processing algorithms and providing insights for future research directions in massive antenna array configurations and interference management techniques.