Adaptive Coding Rate Control for Rapid Wireless Signal Changes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication systems fail to effectively adjust coding rates for terminal devices with high mobility, leading to increased probability of communication interruption in weak coverage areas due to rapid signal changes.
Innovation Solution
A method for adjusting coding rates based on signal strength change rates, involving terminal devices detecting and reporting these changes to network devices, which in turn determine appropriate coding rates to ensure continuous communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If AMR coding rate adjustment is performed based on uplink quality, then speech quality is maintained, but communication interruption probability increases in weak coverage areas for high mobility terminal devices
Solution Approach 1:
The terminal device predicts future signal strength based on historical signal strength data and mobility information before actually entering a weak coverage area. This preliminary prediction allows the network device to proactively adjust the coding rate in advance, ensuring seamless communication when the terminal enters the weak coverage area, rather than reacting after quality degradation is detected
Solution Approach 2:
The system dynamically adapts the coding rate adjustment mechanism based on terminal mobility characteristics. For high mobility terminals, predictive algorithms with longer time horizons are applied, while for low mobility terminals, traditional reactive adjustment suffices. This dynamic adaptation optimizes the balance between communication reliability and adjustment responsiveness
2Speed
If the terminal device moves through weak coverage area quickly, then communication efficiency is maintained, but coding rate adjustment fails to keep up with rapid signal changes
Solution Approach 1:
By predicting signal strength trends based on terminal mobility patterns and historical data, the system prepares coding rate adjustments in advance for high mobility terminals passing through weak coverage areas, ensuring adaptation keeps pace with rapid signal changes
Solution Approach 2:
The system modifies the coding rate adjustment parameters dynamically based on terminal mobility speed and signal strength change rate. For high mobility terminals, the prediction horizon and adjustment granularity are optimized to match the rapid signal variations, enabling the coding rate to adapt effectively to fast-changing channel conditions
3Device complexity
If traditional AMR coding rate adjustment is used, then device complexity is low, but communication reliability deteriorates in fast fading areas
Solution Approach 1:
The terminal device collects and analyzes historical signal strength data to build prediction models, enabling proactive identification of upcoming weak coverage areas. This preliminary analysis layer adds minimal complexity while dramatically improving reliability for high mobility scenarios
Solution Approach 2:
The system implements a feedback loop where terminal mobility information and signal strength measurements are continuously fed into the prediction algorithm. This feedback mechanism refines prediction accuracy over time, maintaining high communication reliability while keeping the overall system complexity manageable through iterative learning
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
Embodiments of this application disclose a coding rate adjustment method and a related device. In this method, a terminal device may determine a signal strength change rate of a wireless network, and send the signal strength change rate to a first access network device. The terminal device receives a first coding rate from a media processing device, where the first coding rate is determined based on the signal strength change rate. Then, the terminal device codes audio and video data based on the first coding rate. It can be learned that the first coding rate can better reflect a current wireless network environment. The terminal device codes the audio and video data based on the first coding rate. This helps reduce a packet loss rate, to reduce a probability of communication interruption of the terminal device.