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Massive MIMO signal detection method based on improved Newton iteration

A technology of Newton iteration and signal detection, which is applied in the field of communication, can solve the problem of high complexity of signal detection, and achieve the effects of obvious performance gain, reduced computational complexity, and fast convergence rate

Active Publication Date: 2021-03-30
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The present invention is aimed at the high complexity of signal detection in the uplink of a massive MIMO system, which is difficult to implement in practice. Since the Newton iteration method can be well implemented on a systolic array and a parallel computer, the present invention provides a A New Matrix Inversion Method Based on Newton Iteration

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  • Massive MIMO signal detection method based on improved Newton iteration
  • Massive MIMO signal detection method based on improved Newton iteration
  • Massive MIMO signal detection method based on improved Newton iteration

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Embodiment Construction

[0013] Below in conjunction with accompanying drawing and embodiment, describe technical solution of the present invention in detail:

[0014] The specific implementation process of this example is as follows:

[0015] A. System model and MMSE detection algorithm

[0016] The present invention considers a typical massive MIMO system, where N antennas at the base station serve K single-antenna users simultaneously. After 64QAM modulation, the transmitted signal x∈C K×1 via a flat Rayleigh channel H∈C N×K The received signal y∈C obtained after N ×1 can be modeled as

[0017] y=Hx+n, (1)

[0018] where n∈C N×1 Indicates that n~CN(0,σ 2 I N ) Gaussian white noise.

[0019] Assuming that the channel estimation at the receiver is perfect, then the MMSE detection algorithm can be expressed as

[0020]

[0021] where b=H H y is the matched filter output of y, A=G+σ 2 I K Represents the MMSE filter matrix, G=H H H stands for Gram matrix, I K Represents the K×K identi...

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Abstract

The invention belongs to the technical field of communication, and relates to a massive MIMO signal detection method based on improved Newton iteration. The massive multiple-input multiple-output (MIMO) system needs to deal with a lot of matrix inversion operation in the signal detection process, many researches are performed to avoid matrix inversion in recent years, and the methods can be roughly divided into two kinds: the approximation method and the iteration method. Firstly the relationship between the two kinds of methods is introduced and then the improved Newton iteration method is put forward on the basis thereof. The Newton iteration method is superior to the Newman series expansion method and the present Newton iteration method. Besides, the matrix-matrix product is transformedinto the matrix-vector product in the iteration process so as to greatly reduce the computational complexity. Finally, numerical simulation verifies the advantages of the improved Newton iteration, and the performance of the MMSE method can be achieved by a small number of iterations.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a massive MIMO signal detection method based on improved Newton iteration. Background technique [0002] Massive MIMO (Multiple Input Multiple Output) is an emerging technology that offers significant improvements in energy efficiency, power consumption, and link reliability compared to traditional MIMO systems. Therefore, massive MIMO systems have attracted research interest from both academia and industry. It has been shown that the linear detection scheme, the minimum mean square error (MMSE) method, can achieve asymptotically optimal performance. However, a large number of matrix inversion operations are still involved in the linear detection algorithm. In order to avoid matrix inversion, there are two types of algorithms, iterative method and approximate method. [0003] When the ratio between the number of base station antennas and the number of users is small, appro...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/08H04B7/0413
CPCH04B7/0413H04B7/0854
Inventor 金芳利刘皓吴鹏
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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