A voice communication management system based on the convergence of WiFi and 5G

By combining real-time detection and trend prediction with a dynamic resource allocation mechanism through auction, the system solves the problems of response delay and resource waste in WiFi and 5G converged voice communication systems under scenarios of rapid signal attenuation, and achieves reliable transmission and resource optimization for emergency sessions.

CN122138276APending Publication Date: 2026-06-02GUIZHOU PLANNING & DESIGN INST OF POSTS & TELECOMM
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUIZHOU PLANNING & DESIGN INST OF POSTS & TELECOMM
Filing Date
2026-04-13
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing WiFi and 5G converged voice communication systems suffer from response delays and resource waste in scenarios with rapid signal attenuation. They cannot dynamically adjust resource allocation or provide differentiated protection based on the urgency of different voice conversations.

Method used

The system employs a communication detection module to collect channel quality and service characteristic parameters in real time, a trend prediction module to predict signal degradation trends, a value assessment module to calculate the protection urgency value, and an auction mechanism to dynamically allocate resources, thereby achieving differentiated resource allocation and dynamic recovery.

Benefits of technology

This enables the pre-allocation of resources before the signal rapidly attenuates, avoiding interruptions, optimizing resource utilization, ensuring reliable transmission of emergency sessions, and preventing resource waste.

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Abstract

This invention relates to the field of communication management technology, specifically to a voice communication management system based on the convergence of WiFi and 5G. It includes a communication detection module, a trend prediction module, a value assessment module, an auction decision module, a resource execution module, and a resource recovery module. The communication detection module is used to collect channel quality parameters of the 5G and WiFi links in real time, as well as service characteristic parameters of each voice session. The trend prediction module is used to calculate the signal quality change rate of each link based on the channel quality parameters and predict the deterioration trend of each voice session's link within a future time window. The value assessment module is used to generate a dynamic protection urgency value for each voice session based on the deterioration trend and service characteristic data. The auction decision module is used to use the protection urgency value as the virtual bid for each voice session; and executes an auction algorithm to determine the set of sessions that receive dual-network parallel transmission protection and the parallel transmission resource allocation ratio for each voice session.
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