Downlink transmission precoding design method assisted by intelligent reflection surface

Abstract

The invention discloses a downlink transmission pre-coding design method assisted by an intelligent reflecting surface. K cells and one intelligent reflecting surface exist in a system in total, each cell only has one single-antenna user, and the user cannot be covered by a base station signal and needs to be subjected to signal transmission through the intelligent reflecting surface. The method comprises the following steps that: each cell base station k designs a precoding vector by using known statistical channel information between the cell base station k and the intelligent reflecting surface; each cell base station designs a precoding vector thereof according to respective direct reflecting diameter information; and a reflection coefficient matrix of the intelligent reflecting surface is designed by using known statistical channel information between the intelligent reflectiing surface and each cell user and statistical channel information between each cell base station and the intelligent reflecting surface. According to the method, the interference among the users can be effectively reduced, each base station can independently design the precoding matrix in parallel, high system throughput can be obtained with low calculation complexity and channel information interaction amount, and the method is easy to implement.

Description

technical field [0001] The invention relates to a downlink transmission precoding design method assisted by intelligent reflecting surfaces (Intelligent Reflecting Surfaces, IRS) based on statistical channel state information (Channel State Information, CSI), and belongs to the technical field of wireless communication. Background technique [0002] In order to achieve higher spectrum efficiency and energy efficiency in the communication system, the frequency used by the system is getting higher and higher, and the coverage radius of the cellular network cell is getting smaller and smaller. In order to reduce communication blind spots, more base stations need to be deployed to enhance cell coverage. Distributed multiple-input multiple-output (MIMO) technology can improve the coverage of wireless communication systems by deploying a large number of antennas, but the structure of distributed MIMO systems is complex and requires high hardware costs and energy consumption . As...

AI Technical Summary

Problems solved by technology

However, IRS has a large number of reflection units, making accurate channel estimation very difficult, and the channel matrix has a large dimension, which makes it difficult to complete instantaneous CSI estimation, CSI feedback, precoding matrix and IRS reflection coefficient matrix design, and data transmission within the coherence time Wait for a series of operations

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