A smart reflective surface assisted multi-cell downlink transmission design method with enhanced edge rate

Abstract

The invention discloses a design method for intelligent reflective surface assisted multi-cell downlink transmission with improved edge rate. There are K cells in the system, and there is one single-antenna user in each cell that cannot be covered by the base station signal of the cell. The reflective surface provides services; the method includes: each cell base station uses the known statistical channel information between it and the intelligent reflective surface to calculate its precoding vectors for users in the cell; the base station only knows the statistics between it and the intelligent reflective surface. channel state information, and use it to design the precoding matrix; the smart 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 smart reflective surface to maximize the minimum The user rate is designed as the target to obtain the reflection coefficient matrix. The present invention can obtain higher edge rate with lower calculation complexity and less channel information amount, can take into account fairness among users, and is easy to implement.

Description

technical field [0001] The invention relates to a design method for downlink transmission of a multi-cell system assisted by an intelligent reflective surface for increasing the edge rate, and belongs to the technical field of wireless communication. Background technique [0002] In the cellular network system, the base station can provide high transmission rate and low transmission delay for users distributed in the center of the cell. However, when the user is located at the edge of the cell, the distance between the user and the base station serving it is longer, and the path loss of the transmission signal increases; and the distance between the edge user and the interfering base station decreases, and the interference suffered by the user increases. Therefore, in cellular networks, improving the performance of edge users has always been a major challenge. As an emerging technology, smart reflective surfaces have received extensive attention from many researchers at hom...

AI Technical Summary

Problems solved by technology

However, the number of reflective units on the smart reflective surface is large, and each reflective unit is a passive reflective element, so it is very difficult to obtain accurate channel state information within the coherence time. remains unchanged, and unlike the instantaneous channel state information which needs to estimate the complete channel matrix, the statistical channel state information only needs to estimate the limited channel information such as the wave arrival angle of the direct path

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