Robust precoding method for multi-beam satellite communication system based on machine learning

Abstract

The invention discloses a robust precoding method for a multi-beam satellite communication system based on machine learning, and the method comprises the steps: constructing a multi-beam satellite downlink channel vector model containing the positioning uncertainty of a user position; acquiring a statistical channel model about the channel autocorrelation matrix; constructing a robust precoding optimization design problem of a multi-beam satellite system and rate maximization; equivalently converting a robust precoding optimization design problem of a multi-beam satellite system and rate maximization into a power minimization problem under user signal to interference plus noise ratio guarantee and single antenna power constraint; obtaining an optimal precoding vector by combining a Lagrange function of an equivalent optimization problem and a KKT condition of the Lagrange function; and predicting a Lagrangian multiplier required by the optimization problem based on a channel autocorrelation matrix by combining with a machine learning method. According to the method, the implementation complexity of a channel autocorrelation matrix prediction problem algorithm can be reduced, and the transmission performance of a multi-beam satellite communication system and the robustness of a positioning angle estimation error are remarkably improved.

Description

technical field [0001] The invention relates to the technical field of satellite communication, in particular to a machine learning-based robust precoding method for a multi-beam satellite communication system. Background technique [0002] At present, the multi-beam satellite system has shown its great potential to realize ubiquitous global wireless access in 5G network and future 6G network. The downlink precoder design plays a vital role in satellite communications, 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 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, as satellites ...

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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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