TL;DR
A unified comparative analysis of three widely used spatially correlated centralized scattering channel models in a multi-cell massive MIMO system suggests that M-MMSE is preferable in strongly correlated environments, while lower-complexity schemes such as RZF provide a favorable trade-off in scenarios with milder spatial correlation.
This paper investigates the EE–SE trade-off in a downlink Massive MIMO system with Minimum Mean Square Error (MMSE) channel estimation (CE) and different linear combining and precoding techniques, confirming that MMSE-based CE provides higher spectral efficiency than the MR, ZF, RZF, and S-MMSE schemes, albeit at incre...
Multiple-input multiple-output (MIMO) technology is widely adopted in modern wireless communication systems to enhance transmission rate and link reliability. Linear detection algorithms are popular MIMO receivers due to their moderate computational complexity. This paper comprehensively investigates the bit error rate...
In time-division duplex (TDD) massive multiple-input multiple-output (MIMO) systems, users send pilot sequences for channel state estimation in a fixed time interval, which leads to pilot redundancy if users undergo longer coherence time than the prescribed channel estimation interval, and consequently reduces the net...
This paper investigates asymmetric spatial modulation (ASM) for multi-user multiple-input multiple-output (MIMO) systems operating in the near-field (NF) region. Considering spherical-wave propagation, closed-form expressions for the average bit error probability (BEP) of both users are derived under maximum likelihood...
The results of the simulation verify that the pre-whitening based MMSE estimator outperforms the conventional and regularized MMSE estimators over a wide interval for the value of the signal to noise ratio (SNR) and the correlation coefficient.
This paper focuses on the improvement of the Massive MIMO-based OTFS systems by implementing the systems using more advanced signal transforms such as Discrete Wavelet Transform and Fractional Fourier Transform under various fading channels.
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