Adaptive Wireless Data Transmission Rate and Fragment Size Optimization
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Solution Overview
Problem
The IEEE 802.11b wireless local area network's throughput is reduced due to the lack of adaptive selection of data transmission mechanisms and fragment sizes, which does not consider current network loading and signal-to-noise ratios, leading to increased collision probabilities and suboptimal transmission rates.
Innovation Solution
A method that periodically estimates signal-to-noise ratios and network loading at both transmitting and receiving stations, allowing for the adaptive selection of optimal fragment sizes and transmission rates for either the basic or request-to-send/clear-to-send data transmission mechanisms based on current network conditions to maximize throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the basic data transmission mechanism is used without adaptive selection, then the device complexity is reduced, but the network throughput decreases due to increased collision probabilities and suboptimal transmission rates
Solution Approach 1:
The patent implements dynamic adaptation of transmission parameters (fragment size, transmission rate, and mechanism selection) based on real-time network conditions. The system continuously monitors signal-to-noise ratio and network loading, then adjusts transmission parameters accordingly, transforming the static transmission mechanism into a dynamic one that optimizes throughput while managing complexity through automated adaptation.
Solution Approach 2:
The patent changes transmission parameters (fragment size, transmission rate, and mechanism type) based on measured network conditions. By varying these parameters adaptively rather than using fixed values, the system resolves the contradiction between simplicity and throughput optimization, achieving high performance without requiring complex manual configuration.
2Productivity
If fixed fragment sizes and transmission rates are used, then the ease of operation is improved, but the network throughput is reduced due to inability to adapt to varying network conditions
Solution Approach 1:
The system performs self-configuration by automatically selecting optimal transmission parameters based on its own measurements of network conditions. The transmitting station autonomously monitors signal-to-noise ratio and network loading, then adjusts fragment sizes and transmission rates without external intervention, maintaining ease of operation while achieving adaptive optimization.
Solution Approach 2:
The patent implements feedback loops where transmission parameters are adjusted based on measured network performance and conditions. The system continuously monitors signal-to-noise ratio and network loading, uses this feedback to select optimal parameters, and repeats the process, resolving the contradiction between fixed simplicity and adaptive performance.
3Productivity
If adaptive selection of transmission parameters is implemented, then the network throughput is enhanced, but the loss of time increases due to periodic estimation and calculation overhead
Solution Approach 1:
The patent uses periodic estimation of network parameters rather than continuous monitoring. By estimating signal-to-noise ratio and network loading at regular intervals and maintaining these estimates between updates, the system reduces the time overhead of adaptive selection while still achieving throughput optimization, resolving the contradiction between continuous adaptation and time efficiency.
Data Source
AI summary
Disclosed is a device and method that relates to radio engineering and especially to data transmission in a wireless local area network. The method improves the throughput of the wireless local area network, by selecting a transmission rate, data transmission mechanism and a fragment size which maximize the network throughput considering the receiving conditions on the receiver (bit error rate in the transmitted data units of the transmitter ) and taking into account the current network loading are selected for transmission of data units.