Multi-beam satellite beam resource adaptation method based on service demand prediction

Abstract

The invention discloses a multi-beam satellite beam resource adaptation method based on service demand prediction, and relates to the field of multi-beam satellite communication, and the method specifically comprises the steps: firstly, for a downlink data transmission scene of a high-orbit multi-beam satellite co-frequency network, obtaining simulation flow data under a coverage area of each beam satellite through building a flow simulation model; training a hidden state Markov model to obtain model parameters, and predicting a service flow demand value of each beam at the next moment; and then, collecting each beam flow prediction value output by using the hidden state Markov model at different dates and moments, training a deep reinforcement learning PPO network model, outputting a bandwidth and power joint optimization value of each beam, allocating bandwidth resource blocks with different numbers and center frequencies and power resource blocks with different levels for each beam, and realizing multi-beam satellite beam resource adaptation. According to the invention, same-frequency interference is effectively reduced, beam service requirements and a fairness principle are met, resource waste is reduced, and the resource utilization rate is improved.

Description

technical field [0001] The invention relates to the field of multi-beam satellite communication, in particular to a multi-beam satellite beam resource adaptation method based on business demand prediction. Background technique [0002] Multi-beam satellites use multiple isolated high-gain narrow beams instead of traditional single large-angle beams to achieve wider coverage and reduce the size of satellite user terminals. At the same time, frequency multiplexing technology is used between beams to improve Spectrum utilization is improved, and the system capacity bottleneck problem caused by limited spectrum resources is effectively solved, thereby improving user service quality. [0003] However, multi-beam satellites have the following disadvantages: on the one hand, the uniform and single-dimensional satellite resource allocation method used in the past has low flexibility and poor resource utilization, which can no longer meet the actual needs; on the other hand, the exis...

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Problems solved by technology

[0005] Aiming at the problems of large overhead, prolonged time, low user satisfaction and low resource utilization in the traditional resource allocation strategy for collecting user service requests in real time, the present invention proposes a multi-beam satellite beam resource adaptation based on business demand prediction method

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