Hardware framework and method for matrix inversion in large-scale MIMO linear detection
A technology of matrix inversion and linear detection, applied in the field of computer communication, can solve the problems of consuming system computing resources, increasing delay time, increasing complexity, etc., achieving good compatibility, enriching flexibility, reducing computational complexity and The effect of hardware cost
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[0026] In the following, a hardware framework for matrix inversion in massive MIMO linear detection proposed by the present invention will be described in detail with reference to the accompanying drawings and specific examples.
[0027] First, a massive MIMO system model is established: consider a massive MIMO system uplink, where N antennas are configured at the base station, and M single-antenna users are served at the same time, where the number of antennas N is much larger than M. The description model is as follows:
[0028] y=Hs+n;
[0029] Among them, H is the channel transmission response matrix of N×M dimension from the user to the base station, and H=[h 1 , h 2 ,...,h M ], h j Represents the jth column vector of H; s=[s 1 ,s 2 ,...,s M ] T is the user signal transmission vector; y=[y 1 ,y 2 ,...,y N ] T is the signal vector received by the base station; n is the zero-mean independent and identically distributed Gaussian white noise vector, and its noise ...
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