Dynamic Transmission Parameter Adjustment for Mobile Data Reliability
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Solution Overview
Problem
Conventional data transmission methods in mobile networks often result in a low success rate due to outdated transmission parameters, which are not adjusted in real-time to reflect the current location and network conditions of mobile terminals.
Innovation Solution
A method and system for data transmission in mobile networks that acquire current location information and determine transmission parameters based on real-time network conditions, including connection timeouts, file fragment sizes, and retry settings, to optimize data upload and download processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transmission parameters are determined based on previous network conditions, then the system maintains simplicity in parameter determination, but the transmission success rate decreases due to outdated parameters not reflecting current location and network conditions
Solution Approach 1:
The patent implements dynamic transmission parameters that automatically adjust based on real-time location and network conditions. The system transitions from static, pre-determined parameters to dynamic parameters that are continuously updated according to the mobile terminal's current environment, including signal strength, network type, and location-based historical performance data.
Solution Approach 2:
The system incorporates feedback mechanisms by collecting actual transmission results and network condition data, then using this information to update transmission parameters for future operations. The feedback loop includes monitoring transmission success/failure, analyzing network conditions at different locations, and adjusting parameters accordingly to improve overall transmission reliability.
2Reliability
If transmission parameters are updated in real-time based on current location and network conditions, then the transmission success rate improves, but the system complexity increases due to additional location acquisition and parameter determination processes
Solution Approach 1:
The patent creates a universal transmission parameter determination system that handles multiple functions: location acquisition, network condition assessment, historical data retrieval, and parameter optimization. This multi-functional system serves as a centralized control mechanism that can be applied across different mobile terminals and network environments, reducing overall system complexity through standardization.
Solution Approach 2:
The system introduces an intermediary component that acts as a bridge between the mobile terminal and the server, specifically a parameter determination module that processes location and network condition information. This intermediary handles the complex calculations and decisions, simplifying the interface between the terminal and server while maintaining optimized transmission parameters.
3Adaptability or versatility
If location information is acquired and used to determine transmission parameters, then the adaptability to different network conditions improves, but the data processing overhead increases due to additional information handling
Solution Approach 1:
The patent implements location-specific transmission parameters by dividing the service area into different location zones, each with optimized parameters based on local network conditions. Instead of processing all possible parameters for all locations, the system retrieves and applies pre-optimized parameters specific to the terminal's current location, reducing processing overhead while maintaining high adaptability.
Solution Approach 2:
The system performs preliminary analysis and optimization of transmission parameters for different locations in advance. Historical network condition data is collected and analyzed beforehand to pre-determine optimal parameters for various locations and network conditions. When the terminal moves to a new location, it quickly retrieves pre-computed parameters rather than performing complex real-time analysis, reducing energy consumption.
Data Source
AI summary
Systems and methods are provided for data transmission in a mobile network. For example, a data transmission request is received; location information associated with a current location of a mobile terminal is acquired; one or more transmission parameters determined based on at least information associated with network condition information corresponding to the location information are acquired; and data is uploaded to a server based on at least information associated with the transmission parameters.