Communication method and communication system based on a mobile base station

By applying AI models in a time-sharing manner in mobile base stations and utilizing the dynamic deployment of core network equipment, the problem of limited storage capacity in mobile base stations is solved, achieving more efficient transmission and spectrum utilization, and meeting the communication needs of more UEs.

CN122420848APending Publication Date: 2026-07-17北京全星通科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
北京全星通科技有限公司
Filing Date
2026-04-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Mobile base stations are limited by their storage capacity, which limits the number of AI models they can load and run. This means they can only support the AI ​​model requirements of a portion of the UEs within their coverage area. If the UE's AI model cannot match the AI ​​model supported by the mobile base station, the UE cannot use the AI ​​model to optimize transmission, resulting in low transmission efficiency and low spectrum utilization.

Method used

By applying different AI models in a time-sharing manner in mobile base stations, UEs within the coverage area can establish connections with mobile base stations at appropriate times based on the AI ​​models they support, optimize transmission using AI models, and dynamically deploy missing AI models in new mobile base stations in core network equipment. Multiple base stations collaborate to support a wider range of UE needs.

Benefits of technology

It improved transmission efficiency, increased spectrum utilization, reduced channel measurement and UE power consumption, and met the service needs of more UEs within the coverage area.

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Abstract

本申请提供一种基于可移动基站的通信方法及通信系统,涉及通信技术领域。该方法包括:第一可移动基站收集覆盖范围内的UE对AI模型的支持情况,并通过第一信息,将自身不支持但UE有需求的AI模型通知给核心网设备。核心网设备根据第一信息对第二可移动基站进行AI模型部署,从而在不更换或升级第一可移动基站的情况下,扩展通信系统的服务能力。核心网设备通过第一可移动基站向UE通知第二可移动基站支持的AI模型,通过分时在不同的可移动基站中部署AI模型,多个可移动基站进行协作,UE可以在合适的时机与合适的可移动基站建立连接并利用AI模型优化传输,从而提高传输效率、提升频谱利用率,满足覆盖范围内更多UE的业务需求。
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