Artificial intelligence-based portable base station networking method and system

By acquiring obstacle density and signal-to-interference ratio after the deployment of portable base stations, and using environmental perception and resilient topology models to evaluate link stability and topology assessment information, the connection strategy is dynamically adjusted, solving the connection problem of portable base stations in dynamic environments and achieving stable and efficient network connections.

CN120659177BActive Publication Date: 2026-04-28YANKUANG ENERGY GRP CO LTD +1
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Patent Information

Application Number
CN202510810406.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-17
Publication Date
2026-04-28
Estimated Expiration
2045-06-17

AI Technical Summary

Technical Problem

Traditional wireless communication networking strategies are difficult to adapt to the connection needs of portable base stations in dynamic environments, especially in dynamic environments where they cannot meet the connection needs of portable base stations that flexibly adjust coverage and communication parameters.

Method used

By acquiring obstacle density, inter-base station distance, and signal-to-interference ratio after deploying portable base stations, link stability is assessed using an environmental awareness model. Combined with a resilient topology model, topology assessment and networking operations are performed, and connection strategies are dynamically adjusted to adapt to the dynamic environment.

Benefits of technology

It achieves stable connection of portable base stations in dynamic environments, improves the network's anti-interference capability and continuous service capability in complex environments, and meets the connection requirements of portable base stations in dynamic environments.

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Abstract

The application provides an artificial intelligence-based portable base station networking method and system, relates to the technical field of communication, and can acquire the obstacle density of the area where the portable base station is located, the distance between the portable base station and neighbor base stations and the signal interference ratio; inputs the obstacle density, the distance between the portable base station and neighbor base stations and the signal interference ratio into an environment perception model to obtain the link stability score corresponding to the portable base station; inputs the link stability score, the energy information of the portable base station and the device communication state and the energy information of the neighbor base station into a resilience topology model to obtain the topology evaluation information of the portable base station; the resilience weight vector at least includes first information for indicating the topology reconstruction priority and second information for indicating the connection type; and in the case where the first information is greater than a preset reconstruction priority threshold value, the networking operation is performed according to the second information. The connection demand of the portable base station in a dynamic environment can be met.
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