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The scaling up of antennae and terminals in large-scale multiple-input multiple-output (MIMO) systems helps increase the spectral efficiency at the penalty of prohibitive computational complexity. In conventional linear detection such as the minimum mean square error (MMSE) signal detection, the high complexity is mainly caused by solving the inversion of random matrix, especially in large-scale MIMO...
An improved MMSE method aimed to reduce the computational burden is proposed in this paper. In the method, the covariance matrix inversion is approximated by the expansion of N-order polynomials of weighted Kapteyn series which has low truncation errors. In this method, an unconstrained non-linear optimization model is established and an iterative algorithm based on coordinate rotation is used to...
This paper presents a vehicle positioning method based on joint estimation of time of arrival (TOA) and direction of arrival (DOA) with Vehicle-to-Roadside (V2R) communications. By analyzing the measured channel frequency response (CFR) between vehicles and the roadside unit (RU), the enhanced two-dimensional matrix pencil (2-D MP) algorithm is implemented to design the parameter estimator, which...
Precoding algorithm is used to transmit signals effectively and to reduce the interferences from other user terminals in the massive multiple-input-multiple-output (MIMO) systems. In order to decrease the computational complexity of the precoding matrix, this paper proposes a new precoding algorithm. We use Chebyshev iteration to estimate the matrix inversion in the regularized zero-forcing precoding...
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