Randomly Arranged Scatterers Monte-Carlo Simulation for a Large-Scale MIMO Antenna

There are some difficulties in a Monte-Carlo simulation when it is used for simulating a large-scale MIMO antenna. In a conventional Monte-Carlo simulation, the scatterers are arranged at regular intervals on a circle. The number of scatterers required for simulating a large-scale MIMO antenna is more than the number of subchannels to fulfil the full-rank property of channel matrices. This fact indicates that to simulate a 256 × 256 MIMO we must implement more than 256 scatterers in the channel model, resulting in a significant increase in calculation time. To overcome this difficulty, this paper presents a method of analyzing a large-scale MIMO antenna, in which the scatterers are arranged randomly on a circle, which results in the full-rank status of a channel matrix. Due to a small number of scatterers, a calculation time required for the simulation is much shorter than that of a conventional Monte-Carlo simulation arranged at regular intervals.