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Hybrid pre-coding optimization method based on millimeter wave massive-MIMO (Multiple-Input Multiple-Output) system

A technology of large-scale antennas and optimization methods, applied in radio transmission systems, transmission systems, transmission monitoring and other directions, can solve problems such as increased system complexity, large changes in signal-to-noise ratio, and increased encoding/decoding difficulty.

Inactive Publication Date: 2019-03-29
SHANGHAI DIANJI UNIV
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Problems solved by technology

[0004] In view of the deficiencies in the above-mentioned prior art, the present invention provides a hybrid precoding optimization method based on a millimeter-wave large-scale antenna system, aiming at the downlink transmission scenario of a single cell and a single user, the signal-to-noise ratio of different sub-channels under singular value decomposition Large changes lead to increased system complexity and increased encoding / decoding difficulty. GMD is used to decompose the channel into equal-gain sub-channels to simplify encoding and decoding complexity, which can reduce system encoding and decoding complexity and improve Advantages of system frequency efficiency

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  • Hybrid pre-coding optimization method based on millimeter wave massive-MIMO (Multiple-Input Multiple-Output) system
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  • Hybrid pre-coding optimization method based on millimeter wave massive-MIMO (Multiple-Input Multiple-Output) system

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[0067] According to the attached Figure 1 ~ Figure 4 , Give the preferred embodiments of the present invention and describe them in detail, so as to better understand the functions and characteristics of the present invention.

[0068] See figure 1 with figure 2 , A hybrid precoding optimization method based on a millimeter wave large-scale antenna system in an embodiment of the present invention includes the steps:

[0069] S1: Establish a GMD-based hybrid precoding MIMO model for a millimeter-wave large-scale antenna system; the millimeter-wave large-scale antenna system includes at least one transmitter 1 and at least one receiver 2. The transmitter 1 includes a baseband code connected in sequence The receiver 11, at least one first radio frequency 12 and a plurality of transmitting end antennas 13; the receiving end 2 includes a plurality of user end antennas 21, at least one second radio frequency 22 and a baseband combiner 23 connected in sequence.

[0070] In this embodimen...

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Abstract

The invention provides a hybrid pre-coding optimization method based on a millimeter wave massive-MIMO (Multiple-Input Multiple-Output) system. The method comprises the following steps: step S1: establishing a hybrid pre-coding MIMO model based on GMD (Geometric Mean Decomposition); step S2: establishing a Saleh-Valenzuela millimeter wave channel model; step S3: obtaining a system frequency effectformula in a downlink transmission scene of a single user in a single cell of the millimeter wave massive-MIMO system; step S4: performing conversion on the GMD by using an SVD (Singular Value Decomposition) mode; step S5: obtaining a system frequency effect optimized objective function analysis formula based on the GMD; step S6: obtaining an optimized objective function; step S7: determining ananalog pre-coding scheme according to the optimized objective function; and step S8: configuring the millimeter wave massive-MIMO system. The hybrid pre-coding optimization method based on the millimeter wave massive-MIMO system provided by the invention utilizes the GMD mode to decompose a channel into equal-gain sub-channels, so as to simplify the coding and decoding complexity, reduce the system coding and decoding complexity, and improve the system frequency effect.

Description

Technical field [0001] The invention relates to the field of wireless communication, and in particular to a hybrid precoding optimization method based on a millimeter wave large-scale antenna system. Background technique [0002] In recent years, the millimeter wave massive antenna (Massive-MIMO) technology has attracted widespread attention and research. This is mainly because millimeter wave communication has abundant spectrum resources, combined with Massive-MIMO hybrid precoding technology to obtain higher beam gain, which can compensate for the high loss propagation defect of millimeter wave communication. But at the same time, the hardware scale and the complexity of encoding and decoding are increasing, which increases the communication cost of the system. The combination of Massive-MIMO and Geometric Mean Decomposition (GMD) can effectively improve the frequency efficiency of the system, and significantly reduce the complexity of the system, becoming a key technology for...

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Application Information

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IPC IPC(8): H04B7/0456H04B7/0413H04B17/391
CPCH04B7/0413H04B7/0456H04B17/3912
Inventor 李民政丁健
Owner SHANGHAI DIANJI UNIV
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