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Large-scale MIMO system limiting feedback method based on compressive sensing

A compressed sensing, large-scale technology, applied in the field of limited feedback of massive MIMO systems, can solve problems such as high computational complexity and lack of fast algorithms

Active Publication Date: 2015-06-03
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

The commonly used Karhunen-Loeve Transform (KLT) transform is a transformation with the least mean square significance in the statistical sense, which has optimal decorrelation and very good compression efficiency, but lacks a fast algorithm. And the transformation matrix varies with the signal, and different signals need to calculate different transformation matrices, so the computational complexity is relatively large

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  • Large-scale MIMO system limiting feedback method based on compressive sensing
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  • Large-scale MIMO system limiting feedback method based on compressive sensing

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Embodiment Construction

[0039] In the massive MIMO limited feedback scheme, the sparse channel is projected into a low-dimensional space through the observation matrix, and the obtained observation signal is fed back to the base station, and the base station uses the OMP algorithm to reconstruct the feedback channel state information, thus reducing the computational complexity and Feedback overhead.

[0040] Such as figure 1 as shown, figure 1 A system block diagram of the limited feedback of the massive MIMO system based on compressed sensing proposed by the present invention. Configure N at the base station h ×N v dimensional UPA, where N h is the number of transmitting antennas in the horizontal dimension of UPA, N v is the number of transmitting antennas in the vertical dimension of UPA, the receiving end is configured with M users with a single antenna, and the user end performs channel estimation to obtain a 3D channel matrix H, and H can be expressed as where h h Indicates the horizont...

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Abstract

The invention discloses a large-scale MIMO system limiting feedback method based on compressive sensing. In a large-scale MIMO limiting feedback system, an Nh*Nv-dimensional uniform planar array (UPA) is adopted at a base station, and a linear array is adopted at a user terminal. The large-scale MIMO system limiting feedback method comprises the following steps: firstly, seeking a sparse base matched with a large-scale MIMO horizontal-dimensional channel and a vertical-dimensional channel by using a compressive sensing (CS) theory, thereby furthermore obtaining a two-dimensional united sparse base matched with a large-scale MIMO channel according to a Kronecker product; secondly, projecting an observation matrix irrelevant to the sparse base to a low-dimensional space, thereby obtaining an observation signal, quantifying the signal, and feeding the quantified signal back to the base station; finally, reconstructing channel state information at the base station by using an orthogonal matching pursuit (OMP) algorithm. The utility model provides a simple and efficient implementation method for the large-scale MIMO limiting feedback system.

Description

technical field [0001] The invention relates to the technical field of 5G mobile communication, and specifically provides a method for limited feedback of a massive MIMO system based on compressed sensing. Background technique [0002] With the rapid increase of the amount of communication data, the improvement of spectrum utilization and energy efficiency has become the key to the development of wireless communication. As we all know, MIMO (Massive-Multiple Input Multiple Output, Massive MIMO) technology can improve link transmission reliability and obtain higher system capacity, so it has become a key technology of 4G wireless communication system. The capacity of the MIMO system increases with the increase of the number of antennas. Therefore, massive MIMO configures a large number of antennas at the base station to obtain better spatial multiplexing and spatial diversity effects, and can more effectively eliminate interference between users. . From the perspective of e...

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Application Information

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IPC IPC(8): H04L1/16H04B7/04
Inventor 景小荣刘利张祖凡陈前斌
Owner CHONGQING UNIV OF POSTS & TELECOMM
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