Dynamic MTU Adjustment for Wireless Throughput Optimization
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Solution Overview
Problem
Existing wireless network systems face inefficiencies in data throughput due to fixed MTU/fragmentation sizes, which can lead to increased packet delays and errors, as larger packets occupy links for longer and are more prone to corruption, necessitating a dynamic adjustment method to optimize data transmission.
Innovation Solution
A method that dynamically adjusts the MTU/fragmentation size based on real-time transmission status by measuring packet loss rates or error rates, allowing for adaptive changes to improve data throughput, involving steps to establish a wireless channel, measure transmission status, and set the MTU/fragmentation size accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a larger MTU/fragmentation size is used, then bulk protocol throughput is improved and processing of fewer packets is achieved, but packet delays increase and latency increases
Solution Approach 1:
The patent applies dynamics by making the MTU/fragmentation size adjustable rather than fixed. The system dynamically adapts the fragmentation size based on real-time transmission status, switching between larger sizes for high throughput conditions and smaller sizes for low latency requirements, thus resolving the contradiction between throughput and delay
Solution Approach 2:
The patent changes the parameter of fragmentation size dynamically. By varying the MTU/fragmentation size based on transmission conditions (signal strength, packet loss, error rates), the system optimizes the trade-off between throughput and latency, allowing larger packets when conditions permit and smaller packets when latency is critical
2Productivity
If a larger MTU/fragmentation size is used, then processing of fewer packets is achieved, but packet error rate increases due to greater likelihood of corruption
Solution Approach 1:
The system dynamically adjusts fragmentation size based on real-time reliability metrics including packet loss rate and error rates. When transmission conditions indicate higher error probabilities, the system switches to smaller fragmentation sizes to maintain reliability, while using larger sizes when conditions are favorable to optimize processing efficiency
Solution Approach 2:
The patent implements feedback mechanisms where transmission status measurements (packet loss, errors) are used to adjust fragmentation size. This closed-loop control ensures that the system adapts fragmentation size to current reliability conditions, preventing excessive errors while maximizing processing efficiency
3Device complexity
If a fixed MTU/fragmentation size is used, then system complexity is reduced, but data throughput is suboptimal under varying transmission conditions
Solution Approach 1:
The system performs self-adjustment by automatically measuring transmission status and adapting fragmentation size without external intervention. This self-service capability maintains simplicity while achieving optimal throughput, as the system manages its own configuration based on real-time conditions
Solution Approach 2:
The patent enables dynamic parameter changes in fragmentation size while maintaining relatively simple system architecture. By implementing adjustable fragmentation size with automatic adaptation, the system achieves optimal throughput under varying conditions without requiring complex manual configuration or overly complicated control mechanisms
Data Source
AI summary
In a wireless network system which adopts a multi-layer data transmission structure, a wireless channel is established between a user equipment and a base station. A wireless transmission channel is established between the user equipment and the base station. An MTU/fragmentation size adopted in the wireless transmission channel is set and dynamically adjusted according to the current transmission status of the wireless transmission channel.