Massive MIMO linear detection hardware architecture and method under correlated channels

Abstract

The invention discloses a massive MIMO linear detection hardware architecture and a method under correlated channels. The massive MIMO linear detection hardware architecture comprises a lower triangular pulse multiplication module, a noise addition module, a diagonal matrix inversion module, a vector multiplier, an iteration module, and a detection module. The iteration module comprises a principal diagonal addition module and a coefficient adjustment module. A channel response matrix sequentially passes through the lower triangular pulse multiplication module and the noise addition module, and then enters the diagonal matrix inversion module and the vector multiplier. The vector multiplier removes principal diagonal elements from the matrix output by the noise addition module, and multiplies the matrix by a matrix solved in the diagonal matrix inversion module. The massive MIMO linear detection hardware architecture and the method are applicable to a matrix inversion algorithm under wider channel conditions, and have the advantages of low computational complexity, high accuracy and good flexibility. Moreover, the channel adaptability and throughput of the linear detection architecture are improved greatly.

Description

technical field [0001] The present invention is applicable to massive MIMO, a popular communication technology at present. This design provides a linear detection framework for low-complexity inversion in the context of multiple-input multiple-output, which is applicable to the case of correlated channels. Background technique [0002] MIMO (Multiple-Input Multiple-Output) technology refers to using multiple transmitting antennas and receiving antennas at the transmitting end and receiving end respectively, so that signals are transmitted and received through multiple antennas at the transmitting end and receiving end. In the current spectrum shortage, it does not start from the frequency, and at the same time, it does not bring greater consumption to the transmission power of the antenna. This technology makes use of space resources, doubles the system channel capacity, improves the communication quality, and has quite superior performance. , is regarded as the core techno...

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Problems solved by technology

[0006] Purpose of the invention: In order to overcome the lack of low-complexity and high-efficiency MIMO linear detection in the case of correlated channels in the prior art, the present invention provides a hardware framework and method for massive MIMO linear detection in correlated channels, which is applicable to wider channel conditions The matrix inversion algorithm below has low computational complexity, high accuracy, and good flexibility, and greatly improves the channel adaptability and throughput of the linear detection framework.

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