학술논문

A Solution to Channel Aging in 5G Massive MIMO
Document Type
Conference
Source
2023 6th International Conference on Information and Computer Technologies (ICICT) ICICT Information and Computer Technologies (ICICT), 2023 6th International Conference on. :162-166 Mar, 2023
Subject
Computing and Processing
Spectral efficiency
Simulation
Massive MIMO
Mean square error methods
Aging
Predictive models
Performance analysis
(autoregressive moving average) ARMA predictor
(auto-correlation function) ACF
cummulative distributive function (CDF) minimum mean square error (MMSE)
Language
ISSN
2769-4542
Abstract
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