NDLI: Comparative study of channel estimators for massive MIMO 5G NR systems

Content Provider	IET Digital Library
Author	Carrera, Diego Fernando Rosales, Cesar Vargas Azpilicueta, Leyre Aguilar, Jose Alejandro Galaviz
Abstract	In this work, a comparative analysis is performed to study the bit error rate and error vector magnitude achieved with the least-squares (LS), the minimum mean squared error (MSE), and the Kalman filter (KF) channel estimators when these are applied to the maximum-ratio combining (MRC) and the regularised zero-forcing (RZF) receivers. The MSE achieved with the different channel estimators was also compared by varying the noise and interference power at the receiver. The proposed methodology relies on the characterisation of a massive multiple-input multiple-output (MIMO) channel with a quasi-deterministic radio channel generator and a cyclic prefix orthogonal frequency division multiplexing link-level radio simulation. The fifth-generation (5G) new radio (NR) frame structure was used to perform channel estimation and equalisation for operation frequencies below 6 GHz. Numerical results show that the MRC receiver achieves its maximum performance with the KF estimator, especially at low signal-to-noise ratio scenarios, while the RZF receiver achieves its maximum performance with the LS estimation even in high interference scenarios.
Starting Page	1175
Ending Page	1184
Page Count	10
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 7, Apr (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0973
Journal	IET Communications
Publisher	The Institution of Engineering and Technology
Publisher Date	2020-02-12
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	5G Mobile Communication Bit Error Rate Channel Estimation Communication Channel Equalisation And Identification Comparative Analysis Cyclic Prefix Orthogonal Frequency Division Diversity Reception Electromagnetic Compatibility Equalisation Error Statistics Error Vector Magnitude Fifth-generation New Radio Frame Structure Filtering Method in Signal Processing Frequency 6.0 GHz Interference Interference Power Interpolation And Function Approximation Kalman Filter Kalman Filter Channel Estimator KF Estimator Least Mean Squares Method Least-squares Channel Estimator Link-level Radio Simulation Low Signal-to-noise Ratio Scenario LS Estimation Massive MIMO 5G NR System Massive Multiple-input Multiple-output Channel Maximum Performance Maximum-ratio Combining MIMO Communication Minimum Mean Squared Error Channel Estimator Mobile Radio System Modulation And Coding Method MRC Receiver MSE Numerical Analysis OFDM Modulation Quasideterministic Radio Channel Generator Radio Frequency Interference Radio Receiver RZF Receiver Statistics Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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