Semi-blind channel estimation method suitable for a large-scale MIMO system assisted by intelligent reflecting surface
A reflective, large-scale technology, applied in the field of information and communication, can solve problems such as large pilot overhead
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[0088] The present invention will be described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention.
[0089] It is assumed that the number of base station antennas is M=256, the number of smart reflector antennas is N=128, and the number of users is K=20. The switch state matrix S of the smart reflective surface is set to a 0-1 Bernoulli distribution matrix, and the sampling rate (sparseness) is 0.3, that is, 0.3*M*N elements in S are 1, and the rest are all 0 elements . The transmission data at the user end is a quadrature phase-shiftkeying (QPSK) symbol. Let the channel matrices G and F be Rayleigh fading channels with zero mean and variance 1. Then implement semi-blind channel estimation according to the message passing algorithm in steps S21-S215 of the technical solution of the present invention. All simulation results are obtained through 200 Monte Carlo independent experiments. ...
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