Massive MIMO Systems

Research indicates that the number of antennas is a critical factor influencing Massive MIMO system performance. As the antenna count increases, both signal transmission capability and spectral efficiency experience significant enhancement. When designing Massive MIMO systems, careful consideration of antenna configuration is essential to achieve optimal performance. From an implementation perspective, this typically involves configuring antenna array parameters in simulation frameworks (e.g., MATLAB's phased array toolbox) or optimizing precoding algorithms that scale with antenna dimensions. However, increasing antenna count introduces new challenges such as interference management and elevated power consumption. Effective solutions may incorporate interference cancellation algorithms (e.g., Zero-Forcing or MMSE detectors) and power allocation optimization functions. Therefore, antenna count optimization must balance multiple factors through comprehensive trade-off analysis to achieve peak system performance, often implemented via multi-objective optimization algorithms in system design simulations.