Carrier Grouping for Wireless LAN Feedback Latency
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Solution Overview
Problem
Wireless communication systems face challenges in efficiently providing channel feedback with optimal spectral resolution to balance latency and accuracy in beamforming operations, particularly in Multi-User (MU) scenarios, where receivers have varying capabilities and latency constraints.
Innovation Solution
The method involves assessing the maximum latency and spectral resolution capabilities of receivers, forming groups based on these assessments, and instructing receivers to select appropriate spectral resolutions for channel feedback, allowing for simultaneous beamformed transmissions while meeting latency requirements without degrading feedback accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high spectral resolution is used for channel feedback calculation, then beamforming accuracy is improved, but latency increases and may exceed maximum latency constraints
Solution Approach 1:
The patent applies dynamics by making the spectral resolution configurable and adaptable based on receiver capabilities and latency constraints. The system dynamically selects appropriate spectral resolutions (e.g., 1/4, 1/8, 1/16, 1/32) rather than using a fixed high resolution, allowing the beamforming accuracy to be optimized within acceptable latency bounds for each specific receiver scenario
Solution Approach 2:
The patent changes the spectral resolution parameter to resolve the contradiction. By allowing receivers to select from multiple spectral resolution options and reporting their capability to the transmitter, the system can adjust the feedback calculation granularity to balance accuracy requirements against latency constraints, directly addressing the trade-off between measurement precision and time loss
2Measurement precision
If spectral resolution capabilities are customized for individual receivers, then beamforming accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the receiver population based on their spectral resolution capabilities. Each receiver is evaluated individually for its ability to compute and report channel feedback at different spectral resolutions (1/4, 1/8, 1/16, 1/32). This segmentation allows the system to assign appropriate resolution levels to different receivers, improving overall accuracy without requiring uniform high complexity across all devices
Solution Approach 2:
The patent implements universality by creating a standardized capability reporting mechanism that works across all receivers regardless of their specific spectral resolution capabilities. The transmitter uses a universal process of receiving capability indications, selecting appropriate receivers for high-resolution feedback, and applying the feedback appropriately. This universal framework manages complexity while enabling customized accuracy levels
3Loss of time
If multiple receivers provide channel feedback sequentially, then latency constraints are managed, but productivity decreases compared to simultaneous feedback
Solution Approach 1:
The patent applies local quality by allowing different receivers in the same sounding group to use different spectral resolutions based on their individual capabilities and positions in the feedback sequence. Receivers with higher capability indices can provide finer spectral resolution feedback, while others use coarser resolutions. This local differentiation optimizes the overall system performance by matching feedback quality to local receiver characteristics rather than enforcing uniform processing
Data Source
AI summary
A method in a receiver includes receiving from a transmitter a request to provide channel feedback relating to a communication channel between the transmitter and the receiver. A maximum latency after which the channel feedback is expected by the transmitter is assessed. A spectral resolution with which to calculate the channel feedback is selected based on the assessed maximum latency. The channel feedback is calculated with the selected spectral resolution, and the calculated channel feedback is sent to the transmitter within the maximum latency.