Beamforming Training for Aggregated Channels in WLAN
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Solution Overview
Problem
Current wireless local area network (WLAN) systems face challenges in efficiently supporting beamforming for signal transmission between stations, particularly in aggregating channels, which limits data rate and throughput, especially in high-data-rate applications like wireless TV and 4K UHD devices, due to restricted channel bonding and complex antenna arrangements.
Innovation Solution
A method and device for supporting beamforming in WLAN systems by transmitting a beam refinement protocol (BRP) packet to request and perform channel measurement for two aggregated channels, including feedback on signal-to-noise ratio, channel measurement, and tap delay information, allowing optimal beamforming configuration across multiple channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If channel bonding is implemented to increase data rate, then throughput is improved, but device complexity and antenna arrangement complexity increase
Solution Approach 1:
The patent segments the channel measurement feedback process by introducing separate indicator fields for different channel aggregation scenarios (2-channel, 4-channel, 8-channel aggregation). This allows the feedback mechanism to be adapted to different aggregation levels without requiring complete redesign for each scenario, thereby managing complexity while supporting high data rates through channel bonding.
2Measurement precision
If beamforming training is performed for aggregated channels, then measurement precision is improved, but feedback information volume and processing complexity increase
Solution Approach 1:
The patent applies local quality by providing differentiated feedback indicators for different channel aggregation scenarios. Instead of a uniform feedback structure, it introduces specific indicator fields (e.g., 2-channel aggregation indicator, 4-channel aggregation indicator) that are activated based on the actual aggregation level. This allows precise measurement feedback for each scenario while keeping the overall system manageable by only activating necessary indicators.
Solution Approach 2:
The patent changes the feedback structure parameters dynamically based on channel aggregation level. By introducing configurable indicator fields that are activated according to the number of aggregated channels, the system adapts its feedback complexity to match the measurement precision requirements, avoiding unnecessary processing overhead for simpler scenarios while providing detailed precision for higher aggregation levels.
3Ease of operation
If channel aggregation is simplified to reduce complexity, then ease of operation is improved, but adaptability to different data rate requirements decreases
Solution Approach 1:
The patent achieves universality by designing a feedback mechanism that can handle multiple channel aggregation scenarios (2-channel, 4-channel, 8-channel) using a unified framework. The same basic feedback structure is used across all scenarios, with additional indicator fields activated as needed. This provides ease of operation through a consistent interface while maintaining adaptability to different data rate requirements through configurable indicators.
Data Source
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AI summary
The present specification presents a method for supporting beamforming for inter-station signal transmission in a wireless local area network (WLAN) system and an apparatus therefor. Specifically, the present specification presents a method for supporting beamforming training for two channels subjected to channel aggregation and an apparatus therefor.