A Solution to Channel Aging in 5G Massive MIMO

In this paper we observe a single-cell massive (multiple-input-multiple-output) MIMO system. Channel aging occurs due to the relative movements between UTs and (base station) BS antenna. To start the analysis, channel state information (CSI) has been acquired by applying minimum-mean-square-error (MMSE). In the next step, (autoregressive moving average) ARMA predictor has been applied to combat the problem caused by aged and deteriorated channel. Then, to check efficiency, we calculate achievable rates for ARMA channel predictor and perform rigorous performance analysis. We observe that ARMA predictor can be a good option to combat the adverse effects of aged channel in large scale MIMO systems. We provide several MATLAB simulations for ARMA predictor by varying number of antennas and several values of Doppler’s shift, which gives us insight that ARMA predictor can be suitable for getting better bandwidth efficiency (BE) in case of aged CSI