A robust precoding method for multi-beam satellite communication systems based on machine learning

Abstract

The invention discloses a robust precoding method for a multi-beam satellite communication system based on machine learning, which includes: constructing a multi-beam satellite downlink channel vector model including user position positioning uncertainty; ;Construct a multi-beam satellite system and a rate-maximizing robust precoding optimization design problem; convert the multi-beam satellite system and rate-maximizing robust precoding optimization design problem into a user signal-to-interference-noise ratio guarantee and a single antenna power The power minimization problem under constraints; combine the Lagrangian function of the equivalent optimization problem and its KKT condition to obtain the optimal precoding vector; combine the method of machine learning to predict the Lagrangian required for the optimization problem based on the channel autocorrelation matrix day multiplier. The invention can reduce the implementation complexity of the channel autocorrelation matrix prediction problem algorithm, and significantly improve the transmission performance of the multi-beam satellite communication system and the robustness to the positioning angle estimation error.

Description

technical field [0001] The present invention relates to the technical field of satellite communication, in particular to a robust precoding method for a multi-beam satellite communication system based on machine learning. Background technique [0002] At present, the multi-beam satellite system has shown its great potential for ubiquitous global wireless access in 5G networks and future 6G networks. The downlink precoder design plays a crucial role in satellite communication, and the existing precoder design methods are usually based on fully known channel state information and total power constraints. Due to the high-speed mobility of satellites and satellite attitude jitter, ideal channel state information is usually difficult to obtain on low-orbit multi-beam satellites. quality of service declines. In addition, along with satellites generally tend to be miniaturized and the energy consumption in the process of information transmission processing increases sharply, the ...

AI Technical Summary

Problems solved by technology

Due to the high-speed mobility of satellites and the jitter of satellite attitude, it is usually difficult to obtain ideal channel state information on low-orbit multi-beam satellites. The existing precoder design methods will lead to the degradation of satellite downlink precoding performance, which will lead to user The quality of service has declined

In addition, with satellites generally tending towards miniaturization and the sharp increase in energy consumption in the process of information transmission and processing, power consumption in satellite communication systems has become a factor that needs to be considered in system design

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