Large-scale MIMO system low-complexity polynomial expansion matrix inversion method and application thereof

A technology of polynomial expansion and matrix inversion, applied in transmission systems, radio transmission systems, baseband system components, etc., can solve problems such as the inability to apply joint correlation channel models

Active Publication Date: 2015-11-18
SOUTHEAST UNIV
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Problems solved by technology

However, the existing deterministic equivalent methods for calculating the high-order distance of the channel matrix can only be applied to the Kronecker correlation channel model, and cannot be applied to the joint correlation channel model

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  • Large-scale MIMO system low-complexity polynomial expansion matrix inversion method and application thereof
  • Large-scale MIMO system low-complexity polynomial expansion matrix inversion method and application thereof
  • Large-scale MIMO system low-complexity polynomial expansion matrix inversion method and application thereof

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[0044] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0045] The invention proposes a low-complexity signal processing method for a large-scale multiple-input multiple-output system, which has the advantage of low complexity. The working principle of the signal processing method disclosed in the present invention will be described in detail below with reference to the figures.

[0...

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Abstract

The present invention discloses a large-scale MIMO system low-complexity polynomial expansion matrix inversion method and the application of the method in an uplink detection method, a downlink pre-coding method and link adaptation calculation. According to the method, based on the operator-valued free probability theory derivation, the deterministic equity of a channel matrix high-order moment is obtained, the approximation polynomial coefficient needed by the polynomial expansion matrix inversion method is calculated further, a signal processing method is easy to calculate, the method can be used in a large-scale multi-input multi-output system with a user with multiple antennas, and a minimal performance loss is obtained while the computational complexity is low.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a large-scale multiple-input multiple-output system low-complexity polynomial expansion matrix inversion method and its application in uplink detection and downlink precoding. Background technique [0002] As a strong competitor of the key physical layer technology in the next-generation mobile communication standard, massive multiple-input multiple-output (massive multiple-input multiple-output, massive MIMO) technology has been extensively studied in recent years. In a large-scale MIMO system, hundreds of antennas can be configured at the base station to provide huge channel capacity gains. At the same time, as the number of system users increases, the total number of antennas at the user equipment side also increases. [0003] The increase in the number of antennas in massive multiple-input multiple-output systems has brought great challenges to its signal processing. Ma...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/04H04L25/02H04B7/06
CPCH04B7/0413H04B7/0634H04L25/0202
Inventor 高西奇卢安安肖承山
Owner SOUTHEAST UNIV
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