Study of single-cell massive MIMO systems with channel aging and prediction

In this paper we consider a single-cell massive multiple-input-multiple-output scenario, where the number of base station (BS) antennas is larger than the number of single antenna user terminals (UTs). We study and investigate common impairment named as channel aging caused by the relative movement between BS antenna and UTs. To acquire channel state information we apply minimum-mean-square-error detector. After that we study some commonly used channel predictors. Then we apply Wiener predictor and ARMA predictor to mitigate the effects of channel aging. We provide signal-to-interference-plus-noise ratios for each channel predictor and demonstrate their overall performance. We apply matched filtering for precoding. We perform thorough analysis with both predictors and observe that Wiener predictor performs better than ARMA predictor in all aspects such as achievable rates, cumulative distribution function and with higher Doppler spreads. The calculated results are deterministic and simulations show that they are even more accurate for system dimensions practically.