MIMO (multiple input multiple output) precoding control method based on lattice-basis reduction
A lattice reduction, multiple-input multiple-output technology is applied in the control field of multiple-input multiple-output precoding, which can solve the problems of large quantization error and increase downlink control signals, so as to avoid quantization errors, reduce complexity, The effect of system performance improvement
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[0049] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0050] First, the symbols and notations involved in the present invention are described, wherein, (·) H Represents the complex conjugate transpose of the matrix, 1 and 0 represent all 1 matrix and zero matrix respectively, ||·|| F Indicates to take the F norm of the matrix, Indicates the largest integer not greater than a, (·) i Indicates the i-th row of the matrix, e i Represents a unit vector whose i-th element is 1 and all other elements are 0.
[0051] The present invention proposes a lattice reduction precoding scheme based on Zero Forcing (ZF) / Minimum Mean Square Error (Minimum-Mean-Square-Error, MMSE) criterion in a MIMO system. Firstly, the lattice-based reduction operation is performed on the right pseudo-inverse matrix of the channel matrix / extended channel matrix to obtain the transformation matrix T, and further obtain the pre...
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