Open AccessErgodic spectral efficiency of massive MIMO with correlated Rician channel and MRC detection based on LS and MMSE channel estimation
Author(s) -
Sadraei Mohammad Hadi,
Fazel Mohammad Sadegh,
DoostHoseini Ali Mohamad
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0905
Subject(s) - estimator , rician fading , minimum mean square error , spectral efficiency , mimo , algorithm , interference (communication) , channel (broadcasting) , mathematics , maximal ratio combining , detector , computer science , monte carlo method , mean squared error , statistics , telecommunications , fading
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.