Semi-physical network equivalent simulation method and system for multi-modal communication

By deploying probes to collect data in the communication network, using Takens embedding to reconstruct the high-dimensional phase space, extracting topological and dynamic invariants, and constructing an equivalent simulation network, the accuracy problem of cross-plane interaction behavior in multimodal communication network simulation is solved, achieving high-precision simulation verification and resource optimization.

CN121815303BActive Publication Date: 2026-06-05BEIJING GUOXIN LANDUN TECH CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING GUOXIN LANDUN TECH CO LTD
Filing Date
2026-03-06
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing communication network simulation methods struggle to accurately capture cross-plane interaction behavior in multimodal communication networks, leading to a dynamic mismatch between simulation results and actual network dynamics. Furthermore, these methods consume significant simulation resources and have limited scalability.

Method used

By deploying probes to collect multimodal communication data streams, using Takens embedding to reconstruct the high-dimensional network behavior phase space, extracting topological and dynamic invariants, constructing an equivalent simulated communication network, and using difference equations for abstract description and elastic resource allocation and scheduling.

Benefits of technology

It achieves high-precision simulation verification and resource optimization, ensuring that the simulated network is consistent with the real network at the behavioral level, thereby improving the accuracy of simulation results and resource utilization efficiency.

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Abstract

The application discloses a semi-physical network equivalent simulation method and system for multi-modal communication, and relates to the technical field of semi-physical simulation. The method comprises the following steps: collecting multi-modal communication data streams through probes deployed in a physical communication network; reconstructing network behavior phase space through Takens embedding; extracting topological and dynamic invariant core features; abstracting simulation platform resources into a virtual dynamic architecture; and generating an equivalent simulation communication network by performing communication behavior equivalent mapping with the core features as constraints. The application solves the technical problem that existing semi-physical simulation methods cannot accurately capture cross-plane interaction behavior in multi-modal communication networks, leading to mismatch between simulation results and actual network dynamics. The application achieves the technical effects of realizing cross-scale behavior equivalent mapping by reconstructing phase space and extracting topological and dynamic invariants, and combining a virtual resource dynamic architecture abstracted by a difference equation to complete flexible resource scheduling, thereby realizing high-precision network behavior reproduction and efficient resource utilization.
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