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Efficient linear detection implementation for massive MIMO

  • US 10,644,778 B2
  • Filed: 06/07/2019
  • Issued: 05/05/2020
  • Est. Priority Date: 07/13/2018
  • Status: Active Grant
First Claim
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1. A method comprising:

  • per given time instance, acquiring K samples b from a signal r, which is based at least on K transmitted symbols x and a transfer matrix H of a communication channel, and a linear detection matrix A of a size K×

    K, which is based at least on the transfer matrix H;

    iteratively calculating at most K(K−

    1) tentative parameters b{tilde over ( 

    )} and at most K(K−

    1) tentative parameters A{tilde over ( 

    )} for the K samples b and the linear detection matrix A;

    checking whether or not the tentative parameters b{tilde over ( 

    )} and A{tilde over ( 

    )} have converged;

    if b{tilde over ( 

    )} and A{tilde over ( 

    )} have converged, deciding K estimation values x{circumflex over ( 

    )} for the K transmitted symbols x based on b{tilde over ( 

    )} and A{tilde over ( 

    )}; and

    if b{tilde over ( 

    )} and A{tilde over ( 

    )} have not converged, returning to the iteratively calculating b{tilde over ( 

    )} and A{tilde over ( 

    )}for the K samples b.

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