Uplink Adaptive Coding Scheme Adjustment via Server Analysis
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Solution Overview
Problem
The existing methods for adjusting uplink adaptive coding schemes in GSM networks face challenges due to inconsistent measurement reports from devices of different manufacturers and frequent changes in coding schemes under fixed wireless quality, affecting upload rates in packet services.
Innovation Solution
A method that involves collecting and analyzing measurement report samples to create a coding scheme adjustment table, associating intervals of mean error rates and bit error probability changes with the highest transmission rate coding schemes, and selecting the appropriate coding scheme based on these reports to stabilize the coding scheme under varying wireless qualities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a high coding scheme is used to increase transmission rate, then upload rate is improved, but data loss increases due to insufficient wireless quality
Solution Approach 1:
The patent implements dynamic coding scheme adjustment by continuously monitoring wireless quality parameters (C/I ratio, bit error rate) and adapting the coding scheme in real-time. The system transitions from static coding to dynamic adaptation, allowing the coding scheme to change based on current channel conditions, thus optimizing both transmission rate and reliability.
Solution Approach 2:
The patent changes the parameter of coding scheme selection based on wireless quality measurements. By monitoring parameters like carrier-to-interference ratio and bit error rate, the system adjusts the coding scheme parameter to match current channel conditions, achieving optimal balance between rate and reliability.
2Reliability
If a low coding scheme is used to ensure data reliability, then data loss is reduced, but upload rate decreases
Solution Approach 1:
The system dynamically adjusts coding scheme based on real-time wireless quality assessment. When channel conditions improve, the system automatically transitions to higher coding schemes to increase upload rate. When conditions deteriorate, it switches to lower coding schemes to maintain reliability, thus optimizing both parameters dynamically.
Solution Approach 2:
The patent implements parameter changes in coding scheme selection based on measured wireless quality. The system monitors channel parameters and adjusts the coding scheme parameter accordingly, allowing the network to adapt to changing conditions and maximize performance.
3Adaptability or versatility
If coding scheme is frequently adjusted to adapt to wireless quality changes, then adaptability is improved, but system stability deteriorates due to continuous changes
Solution Approach 1:
The patent implements periodic measurement and evaluation of wireless quality parameters to determine coding scheme adjustments. By using periodic action with threshold-based triggering, the system avoids continuous or excessive adjustments, thereby maintaining stability while still adapting to significant channel changes.
Solution Approach 2:
The system employs feedback mechanisms where measurement reports from the mobile station are continuously monitored and fed back to the network. The feedback includes wireless quality parameters that trigger coding scheme adjustments only when necessary, balancing adaptability with system stability through controlled response to channel variations.
4Adaptability or versatility
If measurement reports from different device manufacturers are used, then device compatibility is improved, but measurement consistency deteriorates
Solution Approach 1:
The patent implements a universal measurement and evaluation mechanism that works across different device manufacturers. By defining standardized measurement parameters (C/I ratio, bit error rate) and evaluation criteria, the system achieves multi-functionality and compatibility with various mobile stations while maintaining measurement consistency through standardized protocols.
Solution Approach 2:
The system promotes homogeneity in measurement reports by standardizing the parameters and evaluation methods across different devices. Through homogeneous measurement criteria and processing algorithms, the system ensures consistent interpretation of wireless quality regardless of manufacturer, enabling fair and accurate coding scheme selection.
Data Source
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AI summary
A method for implementing adjustment of an uplink adaptive coding scheme, a communication system and a server are disclosed. The method includes: a server measuring a coding scheme with a highest transmission rate under different wireless qualities respectively; collecting measurement report samples reported by a base station under the different wireless qualities and corresponding coding schemes with the highest transmission rate; analyzing a distribution of the measurement report samples, and making a corresponding coding scheme adjustment table for the corresponding coding scheme with the highest transmission rate under the different wireless qualities respectively based on an analysis result; when receiving the measurement report reported by the base station, selecting an appropriate coding scheme in the coding scheme adjustment table corresponding to a current coding scheme based on the measurement report, then sending the selected coding scheme to a terminal. The above method, communication system and server can fix the coding scheme as the proper coding scheme under the current wireless quality as possible, thus ensuring that the upload rate of the packet service is not affected.