Linear minimum mean-square error (MMSE) detection achieves near-optimal performance in large-scale multiple-input multiple-output (LS-MIMO) systems but entails high computational complexity due to large matrix inversi...
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Linear minimum mean-square error (MMSE) detection achieves near-optimal performance in large-scale multiple-input multiple-output (LS-MIMO) systems but entails high computational complexity due to large matrix inversion operations. In this Letter, a novel computationally efficient algorithm based on second-order Richardson method is proposed to solve the LS-MIMO detection problem. While no a priori information for the first iteration of the second-order Richardson method is available, the conjugate gradient scheme is exploited that greatly reduces the number of iterations to achieve the desired performance. Moreover, the eigenvalue-based acceleration parameters are proposed to further accelerate the convergence rate. Numerical results demonstrate that the proposed detector outperforms the existing methods and approaches the performance of MMSE with a small number of iterations.
Decision feedback equalization (DFE) has demonstrated its potential to achieve near-optimal performance in signaldetection within single-carrier massive MIMO systems. However, matrix-inversion-based DFE schemes are n...
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Decision feedback equalization (DFE) has demonstrated its potential to achieve near-optimal performance in signaldetection within single-carrier massive MIMO systems. However, matrix-inversion-based DFE schemes are not suitable for massive MIMO systems due to their prohibitively high computational complexity. In this paper, we investigate frequency domain DFE for signaldetection in single-carrier massive MIMO systems with the goal of reducing computational complexity for practical applications. We propose a low-complexity implicit DFE scheme for single-carrier massive MIMO systems, which mitigates inter-stream and inter-symbol interference by leveraging the Neumann series (NS) expansion for matrix inversion approximation (MIA). The proposed scheme performs DFE implicitly by recursively computing forward/feedback signals using the NS expansion, thereby avoiding computationally intensive matrix inversions and forward/feedback filters calculation. Simulation and analysis results indicate that, compared to matrix-inversion-based DFE schemes, the proposed implicit DFE scheme can significantly reduce computational complexity while achieving similar performance in single-carrier massive MIMO systems. Moreover, it outperforms existing low-complexitydetection methods under stringent channel conditions while maintaining similar or even lower complexity.
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