Decoding System Dynamic Packet Adjustment
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Solution Overview
Problem
Conventional communication systems receive unnecessary data packets due to fixed communication overhead factors, leading to increased resource burden on receiving devices, as they assume worst-case transmission environments, which are rarely encountered.
Innovation Solution
A decoding system that adjusts the number of received packets based on the quality of the transmission channel by detecting trigger events such as decoding failures or early errors, allowing for efficient resource utilization by minimizing unnecessary packet reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the value of ε is fixed to be very large to achieve selected decoding performance in worst case transmission environment, then the probability of decoding failure is lowered, but the number of unnecessary packets received increases, placing a large burden on device resources
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed ε value to a dynamic adjustment mechanism. The system continuously monitors transmission quality metrics (packet loss rate, signal strength) and adjusts the number of packets to receive in real-time. This allows the system to adapt to varying channel conditions, receiving more packets when transmission quality deteriorates and fewer packets when quality is good, thereby resolving the contradiction between decoding reliability and resource consumption
Solution Approach 2:
The patent implements feedback by establishing a closed-loop control system that monitors transmission quality and uses this information to adjust packet reception parameters. The system feeds back transmission metrics to the packet reception controller, which then modifies the number of packets received based on actual channel conditions. This feedback mechanism enables the system to maintain decoding success probability while minimizing unnecessary packet reception, directly addressing the technical contradiction
2Reliability
If the value of ε is increased to lower decoding failure probability, then decoding performance is improved, but decoding time and battery consumption increase
Solution Approach 1:
The patent applies dynamics by making the packet reception parameter adaptive rather than static. The system dynamically adjusts the number of packets received based on real-time transmission quality assessment. When channel conditions are good, the system receives fewer packets, reducing processing time and battery consumption. When channel conditions deteriorate, the system increases packet reception to maintain decoding success probability. This dynamic adjustment resolves the contradiction between decoding reliability and energy consumption
Solution Approach 2:
The patent implements parameter changes by modifying the packet reception parameter (effective ε value) based on transmission quality metrics. The system changes this parameter dynamically according to actual channel conditions rather than using a fixed conservative value. This parameter adaptation allows the system to optimize the balance between decoding success probability and energy consumption, resolving the technical contradiction by making the parameter flexible rather than rigid
3Reliability
If the number of received packets is increased to ensure decoding success, then decoding performance is improved, but CPU time and processing resources increase
Solution Approach 1:
The patent applies dynamics by implementing a dynamic packet reception strategy that adapts to channel conditions. The system dynamically adjusts the number of packets to receive based on real-time transmission quality assessment. When transmission quality is good, the system receives and processes fewer packets, improving processing efficiency. When quality deteriorates, the system increases packet reception to maintain decoding success. This dynamic approach resolves the contradiction between decoding reliability and processing efficiency
Solution Approach 2:
The patent implements feedback by creating a closed-loop system that monitors transmission quality and uses this information to adjust packet reception parameters. The feedback mechanism ensures that the system only receives and processes packets when necessary, optimizing the balance between decoding success probability and processing efficiency. This feedback-driven adaptation resolves the technical contradiction by preventing unnecessary processing while maintaining reliability
Data Source
AI summary
System for early detection of decoding errors. A method is provided for detecting a decode failure. The method includes receiving an initial amount of code packets, detecting a trigger event that indicates a decode failure associated with the initial amount of code packets, and receiving one or more additional code packets.