基于MF预编码的大规模MIMO网络SINR概率密度分析
Probability Density Analysis of SINR in Massive MIMO Downlink Using Matched Filter Beamformer

大规模MIMO系统中，相对于其他基于信道矩阵分解的波束成形算法，如迫零、最小均方误差算法等，匹配滤波（Matched filter, MF）具有复杂度极低的优点，从而成为一种极具实用潜力的波束成形算法。鉴于此，本文推导了基站采用MF波束成形算法时，用户端信干噪比（Signal-to-interference-and-noise ratio, SINR）的近似概率密度函数（Probability density function, PDF）。该函数对于推导与分析系统性能，如和速率、中断概率等至关重要。仿真表明：当基站天线数趋于大规模时，SINR公式的PDF曲线趋近于通过纯仿真得到的PDF曲线。
In massive MIMO systems, the matched filter (MF) beamformer is an attractive technique due to its extremely low complexity compared with the high-complexity decomposition-based beamforming techniques， such as zero forcing and minimum mean square error. An approximate formula is derived for probability density function (PDF) of the signal-to-interference-and-noise ratio (SINR) at user terminal when multiple antennas and the MF beamformer are used at the base station. The formula is important in calculating or analyzing system performance such as sum-rate and outage probability. Simulations exhibit that the difference between the derived approximate formula for PDF and the simulated PDF approaches zero while the number of antennas at the base station tends to large-scale.