Research on the Optimization of Satellite Network Compensation Handover Strategy Based on the Improved Bayesian Method

• 1、School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876

Abstract：To reduce the out-of-order packets at handover event in LEO satellite networks caused by source or destination terminals, the reordering algorithm and delay algorithm are adopted respectively by the network compensation handover strategy. Such scheme has greatly improved transmission performance of the whole systems. However, in practice, the roughly estimated delay will result in overcompensation or undercompensation in the satellite network, leading to the inadequate use of valuable satellite source. In such case, this paper has briefly discussed the calculation methods of compensation delay and built the mixture model based on Bayesian probability theory for detecting outliers which affect estimation precision of the entire scheme. A category threshold is introduced to tackle the poor sample data accuracy when applying posteriori probability estimation in determining categories. The classification process is further controlled by regulating the category weighting factor m. In addition, in order to improve outliers misjudgment caused by changes in network status, this paper utilizes sliding window technique to correct category collections and model parameters, resulting in quickly identifying correct values in new state. This is done by eliminating the effects of increased compensation delay caused by state changes. Simulation results show that, comparing to previous average processing delay detection method, accuracy and false positive rates of the improved version are optimized to some extent. Also the improved version yields a better performance when tested with large dataset.

Keywords： Aerospace Engineering Satellite Network Compensated Handover Strategy Compensation delay Bayesian Method Outlier Detection