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Low-complexity zero-forcing pre-coding method based on over relaxation iteration

A zero-forcing precoding and low-complexity technology, which is applied in the field of low-complexity zero-forcing precoding, can solve the problems of high complexity of precoding methods in massive MIMO systems, achieve good performance and complexity, reduce the number of cycles, and reduce Effects of Computational Complexity

Inactive Publication Date: 2015-12-23
NANJING UNIV OF SCI & TECH
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Problems solved by technology

Therefore, when the number of antennas in a base station reaches hundreds or even a thousand, the complexity of precoding becomes a very challenging problem in practical applications. How to reduce the complexity of beamforming methods is a key issue in massive MIMO systems
[0003] Therefore, a new method is needed to solve the problem of high complexity of precoding methods for massive MIMO systems

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  • Low-complexity zero-forcing pre-coding method based on over relaxation iteration
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  • Low-complexity zero-forcing pre-coding method based on over relaxation iteration

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[0020] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0021] A low-complexity zero-forcing precoding method based on hyper-relaxation iteration of the present invention includes: using the hyper-relaxation iteration method to realize low-complexity zero-forcing precoding, avoiding the inverse operation of a large-dimensional matrix, and simultaneously according to the maximization and rate criteria Find the optimal relaxation factor a, improve the convergence speed, and significantly reduce the complexity of the precoding me...

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Abstract

The invention discloses a low-complexity zero-forcing pre-coding method based on an over relaxation iteration method under a large-scale MIMO (Multiple Input Multiple Output) system. To reduce the high complexity of large-dimension matrix inversion under the large-scale MIMO system, matrix inversion calculation is replaced by the over relaxation iteration method when a base station designs the low-complexity zero-forcing pre-coding method. Simultaneously, to increase the convergence speed and reduce the iteration time, an optimal relaxation factor a is obtained by calculation through a derivation formula according to maximization and rate criterions.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a low-complexity zero-forcing precoding method based on super-relaxation iteration. Background technique [0002] In the past few years, massive multiple-input multiple-output (Multi-inputmulti-output, MIMO) has become a new research hotspot in the field of wireless communication due to its extremely high multiplexing and diversity gain and fine angular resolution, and is regarded as A strong candidate for a key technology for next-generation wireless networks. In the traditional MU-MIMO environment, some classic linear precoding methods such as matched filter (Matched filter, MF), zero-forcing (Zero-forcing, ZF), block diagonalization (Blockdiagonalization, BD), maximum signal noise leakage Ratio (Maximum signal-to-leakage-and-noiseratio, Max-SLNR), singular value decomposition (Singular value decomposition, SVD) and minimum mean square error (Minimum mean square error, MM...

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Application Information

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IPC IPC(8): H04B7/04
CPCH04B7/0456H04B7/0452
Inventor 顾晨周叶束锋黄晓晖钱振宇崔玉荻桂林卿
Owner NANJING UNIV OF SCI & TECH