A smart reflective surface-assisted design method for downlink transmission precoding

Abstract

The invention discloses a downlink transmission precoding design method assisted by an intelligent reflective surface. There are K cells in the system, one intelligent reflective surface, and each cell has only one single-antenna user. The user cannot be covered by a base station signal and needs to pass The intelligent reflective surface transmits signals to it; the method includes: each cell base station k utilizes known statistical channel information between itself and the intelligent reflective surface to design its precoding vector; each cell base station designs its precoding vector according to its own line-of-sight path information Coding vector; the intelligent reflective surface uses the known statistical channel information between it and users in each cell, and the statistical channel information between the base stations of each cell and the intelligent reflective surface to design its reflection coefficient matrix. The invention can effectively reduce the interference between users, and each base station can independently and parallelly design the precoding matrix, and can obtain higher system throughput with lower calculation complexity and channel information amount interaction, and 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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