NDLI: Ergodic spectral efficiency of massive MIMO with correlated Rician channel and MRC detection based on LS and MMSE channel estimation

Content Provider	IET Digital Library
Author	Sadraei, Mohammad Hadi Fazel, Mohammad Sadegh Hoseini, Ali Mohamad Doost
Abstract	The authors study the spectral efficiency (SE) of a multi-cell massive multiple-input multiple-output (MIMO) system with a spatially correlated Rician channel. The correlation between least squares (LS) estimator and its error complicates SE analysis, since signal and interference components become cross-correlated, too. Minimum mean square error (MMSE) estimators do not suffer from this burden. In some previous works, a proper part of the signal is referred to interference, which makes them cross-uncorrelated, and leads to a SE lower bound. In their modified approach, the authors extract and refer the cross-correlated part of interference to the signal to attain this objective. Here, they use this approach for calculating the instantaneous SE of maximum ratio combining (MRC) detector under LS and MMSE estimation methods. They further derive closed-form approximations of their ergodic SE. This approach is also applicable to other linear channel estimators or data detectors. Numerical results show that achievable SE surpasses that of the previous approach. Moreover, they show that their approximation is close enough to Monte Carlo simulation results, especially at the high number of the base station antennas.
Starting Page	2962
Ending Page	2971
Page Count	10
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 17, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0905
Journal	IET Communications
Publisher Date	2020-10-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximation Theory Base Station Antenna Cellular Radio Channel Estimation Closed-form Approximations Communication Channel Equalisation And Identification Correlation Method Data Detectors Diversity Reception Electromagnetic Compatibility Ergodic SE Ergodic Spectral Efficiency Instantaneous SE Interference Interference Component Interpolation And Function Approximation Least Mean Squares Method Least Squares Estimator Linear Channel Estimators LS Channel Estimation Massive MIMO Maximum Ratio Combining Detector MIMO Communication Minimum Mean Square Error Estimators MMSE Estimation Method Mobile Radio System Monte Carlo Method Monte Carlo Simulation MRC Detection MRC Detector Multicell Massive Multiple-input Multiple-output System Numerical Analysis Radio Frequency Interference Rician Channel SE Analysis SE Lower Bound Signal Component Signal Detection Spatially Correlated Rician Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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