A method for dynamic modeling of a space terahertz communication network

Abstract

This invention proposes a dynamic modeling method for space terahertz communication networks. This method employs a time-varying graph model to characterize the network's dynamic properties from three dimensions: topology, links, and signals. The topology dimension describes changes in node locations and connectivity; the link dimension characterizes performance parameters such as transmission capacity, signal-to-noise ratio, and availability; and the signal dimension focuses on terahertz-band-specific propagation effects such as atmospheric absorption attenuation, Doppler shift, and beam alignment errors. Based on this, an attribute-based time-varying graph aggregation mechanism is introduced. By defining multiple attributes such as nodes, links, and services, and their constraints, topology slices from different times are fused to construct a unified and scalable network dynamic evolution model. This invention improves the modeling accuracy and massive time-varying data processing capabilities of space terahertz communication networks, providing theoretical support and simulation verification methods for network performance optimization.

Description

Technical Field

[0001] This invention relates to the field of satellite communication network technology, and in particular to a dynamic modeling method for space terahertz communication networks. Background Technology

[0002] With the rapid development of space technology, space information networks have become an important means of connecting Earth and space, enabling long-distance communication and information transmission. However, the high-speed movement of nodes, dynamic changes in topology, and poor link connectivity in space information networks pose significant challenges to network modeling and analysis. Traditional static graph models cannot effectively characterize the dynamic characteristics of space information networks, leading to numerous difficulties in network performance analysis and optimization. Furthermore, ensuring reliable data transmission is a pressing issue due to the instability and intermittency of communication links in the space environment.

[0003] Chinese invention CN117544247A proposes a lightweight implementation method and device for space information center networks, but does not analyze space terahertz communication networks from a modeling perspective. Summary of the Invention

[0004] This invention discloses a dynamic modeling method for space terahertz communication networks, comprising: S1, the space terahertz communication network consists of geostationary orbit satellites (GEO), low orbit satellite constellations (LEO), aerospace access platforms (such as high-altitude airships and UAVs) and ground user equipment (UE), and uses the terahertz (THz) frequency band (0.1–10 THz) for high-speed broadband link communication; S2 represents the network model from three perspectives: topology, links, and signals. Specifically, the topology dimension includes the set of nodes V. STIN Edge set E STIN Node attribute V a Edge attribute E a Adjacency matrix A and backbone network G m The link dimension includes network capacity C, signal-to-noise ratio (SNR), and available time T; the signal dimension includes atmospheric absorption attenuation f, modulation scheme Q, and Doppler error f. D Where A∈ , where A i，j =1 indicates that node i is connected to node j; Gm=(Vm,Em), where Vm represents the set of nodes in the backbone network and Em represents the set of edges in the backbone network; S3 employs a time-varying graphical model to represent the dynamic changes of the network. The continuous time axis is discretized into a series of equally spaced or event-driven time slices. Each slice corresponds to a static topology snapshot, and the network model under that slice is represented as a tuple: Model={VSTIN, ESTIN, Va, Ea, A, Gm, C, SNR, T, f, Q, f} D}; S4 introduces an attribute-based time-varying graph aggregation mechanism to analyze the constraints between attributes such as nodes, links, and services, and merges homogeneous or complementary constraints at different times, so that the time-varying graphs in discrete time can be connected to form an aggregated time-varying graph with spatiotemporal continuity.

[0005] S5, In the terahertz channel model, molecular absorption loss Frequency-dependent absorption coefficient It means that the conditions are met. ,in It depends on the atmospheric composition and the length of the propagation path.

[0006] The present invention has the following advantages: 1. This invention uses a time-varying graph model to characterize the dynamic changes of spatial information networks, which can accurately reflect key features such as node movement, topology changes and link connectivity, providing a powerful tool for network performance analysis and optimization.

[0007] 2. This invention introduces an attribute-based time-varying graph aggregation mechanism, which can connect time-varying graphs at different times and aggregate them considering the constraints between attributes, thereby enhancing the scalability and flexibility of the model and making it suitable for more complex spatial information network scenarios. .Attached Figure Description Figure 1 This is a schematic diagram of the dynamic modeling method for space terahertz communication networks in this invention; Figure 2 This is the attribute-based time-varying graph aggregation mechanism in this invention. Detailed Implementation

[0009] The present invention will now be described in detail with reference to the accompanying drawings.

[0010] As shown in the figure, this invention discloses a dynamic modeling method for space terahertz communication networks, including: S1, the space terahertz communication network consists of geostationary orbit satellites (GEO), low orbit satellite constellations (LEO), aerospace access platforms (such as high-altitude airships and UAVs) and ground user equipment (UE), and uses the terahertz (THz) frequency band (0.1–10 THz) for high-speed broadband link communication; S2 represents the network model from three perspectives: topology, links, and signals. Specifically, the topology dimension includes the set of nodes V. STIN Edge set E STIN Node attribute V a Edge attribute E a Adjacency matrix A and backbone network G m The link dimension includes network capacity C, signal-to-noise ratio (SNR), and available time T; the signal dimension includes atmospheric absorption attenuation f, modulation scheme Q, and Doppler error f. D Where A∈ , where A i，j =1 indicates that node i is connected to node j; Gm=(Vm,Em), where Vm represents the set of nodes in the backbone network and Em represents the set of edges in the backbone network; S3 employs a time-varying graphical model to represent the dynamic changes of the network. The continuous time axis is discretized into a series of equally spaced or event-driven time slices. Each slice corresponds to a static topology snapshot, and the network model under that slice is represented as a tuple: Model={VSTIN, ESTIN, Va, Ea, A, Gm, C, SNR, T, f, Q, f} D}; S4 introduces an attribute-based time-varying graph aggregation mechanism to analyze the constraints between attributes such as nodes, links, and services, and merges homogeneous or complementary constraints at different times, so that the time-varying graphs in discrete time can be connected to form an aggregated time-varying graph with spatiotemporal continuity.

[0011] S5, In the terahertz channel model, molecular absorption loss Frequency-dependent absorption coefficient It means that the conditions are met. ,in It depends on the atmospheric composition and the length of the propagation path.

[0012] The present invention has been described in detail above with reference to the accompanying drawings. However, those skilled in the art should understand that the specification is for interpreting the claims, and the scope of protection of the present invention is determined by the claims. Any modifications, equivalent substitutions, and improvements made based on the present invention should be within the scope of protection claimed.

Claims

1. A dynamic modeling method for spatial terahertz communication networks, characterized in that, The space-based terahertz communication network consists of geostationary orbit satellites, a low-Earth orbit satellite constellation, a space-based access platform, and ground user terminals, and uses the terahertz frequency band for high-speed broadband link communication; the method includes: S1 characterizes the network model from three dimensions: topology, links, and signals. Specifically, the topology dimension includes the node set VSTIN, the edge set ESTIN, node attributes Va, edge attributes Ea, the adjacency matrix A, and the backbone network Gm; the link dimension includes network capacity C, signal-to-noise ratio SNR, and available time T; and the signal dimension includes atmospheric absorption attenuation f, modulation scheme Q, and Doppler error f. D Where A∈ , where A i，j =1 indicates that node i is connected to node j; Gm=(Vm,Em), where Vm represents the set of nodes in the backbone network and Em represents the set of edges in the backbone network; S2 employs a time-varying graphical model to characterize the dynamic changes of the network. The continuous time axis is discretized into a series of equally spaced or event-driven time slices. Each slice corresponds to a static topology snapshot. The network model under this slice is represented as a tuple: Model={VSTIN, ESTIN, Va, Ea, A, Gm, C, SNR, T, f, Q, f} D }; S3 introduces an attribute-based time-varying graph aggregation mechanism to analyze the constraints between nodes, links, and business attributes, and merge homogeneous or complementary constraints at different times, so that the time-varying graphs in discrete time can be connected to form an aggregated time-varying graph with spatiotemporal continuity.

2. The method according to claim 1, characterized in that: In the network model, molecular absorption loss Frequency-dependent absorption coefficient It means that the conditions are met. ,in It depends on the atmospheric composition and the length of the propagation path.

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