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An Efficient Interference Calculation Model Based on Large Scale Constellations Probabilistic Analysis

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Wireless Algorithms, Systems, and Applications (WASA 2022)

Abstract

With the large scale NGSO constellation systems entering the blowout launch period, new challenges are expected for inter-system satellite coexistence due to the increase in scale of the constellations and the complexity of the interactions, where the problems of frequency compatibility between NGSO system and GSO system are the most prominent. However, the existing methods normally analyze the interference through real-time position acquisition, visible area judgment and single link calculation, as for the large scale constellations under construction, these methods still have great challenges to large amount of data stored in constellation positions, long simulation duration and high requirements for simulation equipment. In this circumstance, we establish a high efficient interference calculation model apply for large scale constellations. Our solution stems from the satellite position probability, by meshing the visible area and deriving the distribution of other interfering satellites in visible area through the initial satellite, we can directly analyze aggregate interference. The proposed model not only has the advantages of low algorithm complexity and high calculation efficiency, but also suitable for large scale constellations with different configurations as well as not depend on computer simulation equipment. The theoretical and simulation results both show that the proposed model has advantages in the accuracy of interference calculation and the duration of interference simulation.

This work is supported by the National Key Research and Development Program of China (Grant No. 2021YFB2910107).

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Correspondence to Wen Wang .

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Liu, Y., Huang, W., Wang, W., Geng, J., Qiu, Z. (2022). An Efficient Interference Calculation Model Based on Large Scale Constellations Probabilistic Analysis. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13472. Springer, Cham. https://doi.org/10.1007/978-3-031-19214-2_6

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  • DOI: https://doi.org/10.1007/978-3-031-19214-2_6

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