Matrix Approximate Inversion Based Signal Detection in Large-scale 3D-MIMO Systems | IEEE Conference Publication | IEEE Xplore

Matrix Approximate Inversion Based Signal Detection in Large-scale 3D-MIMO Systems


Abstract:

Signal detection is one of the fundamental problems in three-dimensional multiple-input multiple-output (3D-MIMO) wireless communication systems. This paper addresses a s...Show More

Abstract:

Signal detection is one of the fundamental problems in three-dimensional multiple-input multiple-output (3D-MIMO) wireless communication systems. This paper addresses a signal detection problem in 3D-MIMO system, in which matrix approximate inversion techniques is considered. It is well known that the signal detection accuracy of nonlinear signal detection algorithm is improved compared with the linear signal detection algorithm in MIMO systems, but its hardware requirements are higher in practical applications. Therefore, a more easily implemented linear signal detection algorithm is needed in MIMO systems. This paper studies the equivalent matrix inversion method based on linear equation generation and introduces the signal detection scheme based on matrix approximate inversion in large-scale 3D MIMO systems.
Date of Conference: 24-28 June 2019
Date Added to IEEE Xplore: 22 July 2019
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Conference Location: Tangier, Morocco

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