Frame Aggregation Using Operator State for Wireless Throughput
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Solution Overview
Problem
Current frame aggregation methods in mobile communication do not accurately distinguish between handheld wireless terminals and wireless access devices, leading to inconsistent channel state information accuracy and ineffective use of frame aggregation technology.
Innovation Solution
A method that acquires and calculates wireless channel state information and operator state information using sensors to determine a calculation result, allowing for precise decision-making on whether to perform frame aggregation, ensuring accurate judgment and improved frame transmission quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If frame aggregation technology is used based solely on wireless channel quality, then system throughput can be improved when channel quality is good, but the accuracy and effectiveness of channel state information acquisition cannot be guaranteed due to lack of device characteristic distinction
Solution Approach 1:
The patent applies local quality by differentiating judgment criteria for frame aggregation based on device type. Handheld terminals use one set of judgment criteria (considering operator state), while wireless access devices use another set. This allows the system to adapt the channel state information acquisition accuracy to the specific local characteristics of each device type, resolving the contradiction between throughput improvement and measurement precision.
Solution Approach 2:
The patent introduces dynamic adjustment of frame aggregation judgment by incorporating operator state information that changes over time. The system dynamically evaluates both channel quality and operator state (such as user activity, attention level) to make real-time decisions about frame aggregation, thereby maintaining high throughput while ensuring accurate channel state information acquisition adapts to changing conditions.
2Device complexity
If frame aggregation is applied without considering operator state, then the system can operate with simpler judgment logic, but the accuracy of judging whether to use frame aggregation technology is affected
Solution Approach 1:
The patent segments the frame aggregation judgment process into distinct pathways based on device type. Handheld terminals undergo a two-factor judgment (channel quality + operator state), while wireless access devices undergo a different judgment process. This segmentation allows the system to manage complexity by creating specialized, optimized judgment logic for each device category rather than using a single complex universal logic.
Solution Approach 2:
The patent changes the parameters used for frame aggregation judgment based on device type. For handheld terminals, the system incorporates operator state parameters (such as user activity level, attention state) alongside channel quality parameters. For wireless access devices, different parameters are used. This parameter adaptation allows accurate judgment while managing system complexity through context-appropriate parameter selection.
Data Source
AI summary
The present document discloses a frame aggregation method and an electronic device. Herein, the method includes: acquiring state information of a wireless channel; acquiring state information of an operator according to a preset sate parameter; and performing calculation according to the state information of the wireless channel and the state information of the operator to obtain a calculation result, and performing frame aggregation when the calculation result meets a first condition.


