Large-scale MIMO detection method based on GS method, and hardware configuration
A hardware architecture and large-scale technology, applied in the field of computer communication, can solve problems such as insufficient convergence speed, no detection algorithm hardware architecture, etc., achieve flexible changes in the number of iterations, increase convergence speed, and reduce hardware complexity.
Active Publication Date: 2016-08-31
SOUTHEAST UNIV
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But their method does not converge fast enough, and does not give the specific hardware architecture of the detection algorithm based on the GS method
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[0024] Below in conjunction with specific implementation case, further illustrate the present invention, it should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after reading the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.
[0025] In this embodiment, a massive MIMO channel model is established for simulation operation. In a massive MIMO system, generally N>>K (the number of base station antennas N is much greater than the number of transmit antennas, that is, the number of users K). Firstly, the parallel transmission bit streams generated by K different users are coded through channel coding, and then mapped to constellation symbols, and the energy normalization of the constellation diagram set is adopted. l...
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The invention discloses a large-scale MIMO detection method based on a GS method, and a hardware configuration. The method comprises the steps that a channel matrix and a receiving signal vector pass through a preprocessing module to respectively enter a Neumann series expansion module and a GS method module; the preprocessing module carries out the Gram matrix calculation, MMSE filtering matrix calculation and matching filtering; the Neumann series expansion module obtains an MMSE filtering matrix, carries out approximate inversion of two items, carries out the multiplication of the MMSE filtering matrix with matching filtering output, and obtaining an initial solution of the GS iterative method; the GS method module obtains the MMSE filtering matrix and the matching filtering output as a coefficient matrix and a constant vector for GS iteration for solving a linear equation set, wherein the output of each iteration is stored in a register as a signal detection result. The method is lower in algorithm complexity, is smaller in number of iteration times, is smaller in hardware consumption, and greatly improves the throughput rate.
Description
technical field [0001] The invention belongs to the field of computer communication, and relates to a massive MIMO system uplink signal detection method and hardware architecture. Background technique [0002] The massive MIMO (Large-scale Multiple-Input Multiple-Output or Massive MIMO) system was first proposed by researchers such as Thomas L. Marzetta of Bell Laboratories in the United States. The study found that when the number of base station antennas in the cell tends to infinity, the negative effects such as additive Gaussian white noise and Rayleigh fading can be ignored, and the data transmission rate can be greatly improved. In a massive MIMO system, the base station is equipped with a large number of antennas. The number of antennas is usually dozens, hundreds or even thousands, which is more than 1 to 2 orders of magnitude of the number of antennas in the existing MIMO system. The user equipment served by the base station ( The number of User Equipment, UE) is f...
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IPC IPC(8): H04L25/03H04L1/00
CPCH04L1/005H04L1/0051H04L25/03891
Inventor 张川吴至榛尤肖虎
Owner SOUTHEAST UNIV