A New Channel Estimation Technique for 5G MIMO Communication Systems

Internet of things (IoT) in health care is one of the major areas which ease the usage of many transmitters on board, leading to the usage of Multiple Input Multiple Output (MIMO) systems for better communications. Employing 5G MIMO systems suitable for IoT applications with quality of performance (QoP) is a challenge. This paper defines a channel estimation method based on training symbol for 5G MIMO wireless communication systems for IoT applications is proposed and analyzed. An M-estimator is suggested for optimizing the proposed channel estimator. The proposed technique performance is evaluated based on the comparison of Simulation results with Least Squares (LS) channel estimation with and without Discrete Fourier Transform (DFT). From simulation results, it is seen that the proposed method of channel estimation closely approximates that of true channel estimation.