Multi-cell collaborative large-scale MIMO robust precoding design and distributed processing method

A design method and precoding technology, applied in radio transmission systems, electrical components, transmission systems, etc., can solve the problem of robust multi-cell precoding, etc., and achieve inter-cell interference suppression, low interaction overhead, and low computational complexity. degree of effect

Active Publication Date: 2021-09-28
SOUTHEAST UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

So far, there is no research on multi-cell robust precoding based on a posteriori channel model

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  • Multi-cell collaborative large-scale MIMO robust precoding design and distributed processing method
  • Multi-cell collaborative large-scale MIMO robust precoding design and distributed processing method
  • Multi-cell collaborative large-scale MIMO robust precoding design and distributed processing method

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Embodiment Construction

[0063] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0064] Such as figure 1 As shown, it shows a flow chart of the multi-cell massive MIMO robust precoding design of the present invention, including:

[0065] (1) Establish the user's posterior channel model;

[0066] (2) Establish the user's interference plus noise covariance model and the covariance model of the received signal;

[0067] (3) Establish the user's traversal rate model or traversal rate upper bound model;

[0068] (4) Solve the weighted traversal and rate maximization problem or the weighted traversal and rate upper bound maximization problem to obtain the precoding iterative formula.

[0069] Such as figure 2 As shown, it shows the multi-cell cooperative massive MIMO robust precoding network-wide parallel distributed processing method based on maximizing weighted ergodic and rate upper bounds according to ...

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Abstract

The invention discloses a multi-cell collaborative large-scale MIMO robust precoding design and distributed processing method. The method comprises the following steps: (1) establishing a posterior channel model of a user; (2) establishing an interference and noise covariance model of a user and a covariance model of a received signal; (3) establishing a traversal rate model or a traversal rate upper bound model of the user; and (4) solving a weighted traversal and rate maximization problem or a weighted traversal and rate upper bound maximization problem to obtain a precoding iterative formula. According to the robust precoding design, the influence of channel estimation errors, channel aging and channel correlation on precoding can be resisted by establishing the posterior channel model of the user, and the problem of weighting and rate maximization is solved by modeling user interference and noise including inter-cell interference. The invention discloses three distributed processing methods with different information interaction quantities, and specifically realizes a multi-cell collaborative large-scale MIMO robust precoding design.

Description

technical field [0001] The present invention relates to a multi-cell cooperative precoding design and distributed processing method, in particular to a multi-cell cooperative massive MIMO robust precoding design and distributed processing method. Background technique [0002] Massive Multiple-Input Multiple-Ouput (M-MIMO) technology can not only serve multiple users simultaneously on the same time-frequency resources, but also achieve higher spectral efficiency by arranging a large number of antennas in the base station. And energy efficiency, become the key technology of 5G physical layer. Through cooperation between base stations, multi-cell technology can further improve the performance of massive MIMO systems. In multi-cell cooperation technology, base stations exchange channel information and user data information, so that the same user can be served by multiple base stations at the same time, and spatial multiplexing greatly improves the rate performance of users. Ho...

Claims

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Application Information

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IPC IPC(8): H04B7/0456
CPCH04B7/0456
Inventor 高西奇王晨卢安安孙晨
Owner SOUTHEAST UNIV
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