Link Adaptation via Radio Channel Classification
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Solution Overview
Problem
Conventional link adaptation methods in wireless communication systems are hindered by measurement errors and random interference, making it difficult to accurately reflect actual channel conditions, especially as radio channel conditions change over time.
Innovation Solution
Classifying radio channels based on time-variant characteristics and selecting appropriate link adaptation modes from a set that includes instantaneous value prediction, historical value prediction, statistical quantile prediction, and mutation processing modes to ensure accurate channel prediction and stable link quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the latest channel quality measurement result is used as the basis for selecting the future link rate, then the link adaptation can be implemented simply and quickly, but the measurement errors and random interference cause the link rate selection to be inaccurate
Solution Approach 1:
The patent performs preliminary classification of radio channels into different types (flat channel, slow fading channel, fast fading channel, mutant channel) based on time-variant characteristics before selecting link adaptation modes. This preliminary action enables the system to prepare appropriate prediction strategies in advance, improving measurement precision without sacrificing adaptation speed.
Solution Approach 2:
The patent changes the parameter of link adaptation mode selection by introducing multiple prediction modes (instantaneous value prediction, historical value prediction, statistical quantile prediction, mutation processing mode) that are dynamically selected based on channel type classification. This parameter change allows the system to adapt to different channel conditions, resolving the contradiction between speed and accuracy.
2Speed
If the latest channel quality measurement result is used for link adaptation, then the system response is fast, but the past measurement results cannot completely reflect the future channel conditions due to random changes
Solution Approach 1:
The patent introduces dynamic selection of link adaptation modes based on real-time channel type classification. The system dynamically switches between instantaneous value prediction mode, historical value prediction mode, statistical quantile prediction mode, and mutation processing mode according to the classified channel type, enabling both fast response and reliable link quality maintenance.
Solution Approach 2:
The patent implements a feedback mechanism where historical measurement information is analyzed to determine current radio channel type, which then feeds back into the selection of appropriate link adaptation modes. This feedback loop ensures that the system continuously adjusts its prediction strategy based on observed channel behavior, maintaining reliability while responding quickly to changes.
3Productivity
If multiple link adaptation modes are introduced for different channel types, then the system can achieve maximum throughput in different fading channels, but the device complexity increases
Solution Approach 1:
The patent segments the radio channel into distinct types (flat channel, slow fading channel, fast fading channel, mutant channel) based on time-variant characteristics. Each segment is then handled by a specific link adaptation mode, allowing the system to optimize throughput for each channel type while managing complexity through structured classification and mode selection.
Data Source
AI summary
A method for link adaptation includes: classifying a radio channel; setting a set of link adaptation modes; and selecting a corresponding link adaptation mode according to a radio channel type. An apparatus for link adaptation includes: a classification module for performing a classification on a radio channel; a setting module for setting a set of link adaptation modes; and a mode selection module for selecting a corresponding link adaptation mode from the setting module according to a radio channel type of the classification. The present invention accordingly selects effective link adaptation modes in accordance with different types of radio channels, and is able to ensure to implement the maximum system throughput in different fading channels and maintain the stable and reliable link quality.