Beamforming Configuration via Signal Similarity Ordering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless radio transceiver devices face challenges in efficiently determining optimal beamforming settings, particularly with analog beamforming, which requires significant overhead signaling and increases network interference during beam finding procedures.
Innovation Solution
A method and device for configuring beamforming settings by obtaining performance indications, selecting a similarity measure objective, and determining the order of evaluating directional beams based on similarity measure procedures applied to received signals, allowing for efficient selection and configuration of beamforming settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beam finding procedures using beam reference signals are used to evaluate beam quality, then accurate beam selection is achieved, but overhead signaling increases and network interference increases
Solution Approach 1:
The patent applies preliminary action by pre-ordering directional beams based on similarity measure objectives before actual beam finding procedures. The system pre-calculates similarity measures between beam reference signals and receives signals, establishing an evaluation order that guides subsequent beam selection. This preliminary ordering reduces the need for extensive overhead signaling during runtime, as the evaluation sequence is predetermined based on signal similarity characteristics.
Solution Approach 2:
The patent changes the parameter of beam evaluation by introducing similarity measure objectives that quantify the resemblance between beam reference signals and received signals. By transforming the beam evaluation criterion from direct signal quality measurement to similarity-based ranking, the system reduces overhead signaling requirements while maintaining accurate beam selection, as the similarity measures provide a predictive indicator of beam quality without requiring full beam finding procedures for all beams.
2Reliability
If all directional beams are evaluated during beam finding, then optimal beam selection is achieved, but time consumption and overhead signaling increase
Solution Approach 1:
The system performs preliminary ordering of directional beams based on similarity measure objectives before the actual beam finding procedure. By pre-establishing an evaluation order that prioritizes beams with higher similarity to received signals, the system can limit the beam finding procedure to only the top-N beams in the ordered list, rather than evaluating all beams. This preliminary ranking significantly reduces time consumption and overhead signaling while maintaining reliable beam selection, as the most promising beams are identified in advance.
Solution Approach 2:
The patent applies partial action by evaluating only a subset of directional beams (the top-N beams in the similarity-based order) rather than all available beams. The similarity measure objective allows the system to identify and focus resources on the most promising beams, performing partial beam finding on a limited set rather than exhaustive evaluation. This approach achieves sufficient beam selection reliability with reduced time and signaling overhead, as the similarity ordering ensures that the evaluated subset includes the optimal beam.
3Ease of manufacture
If analog beamforming is used to reduce cost, then manufacturing cost decreases, but flexibility and beam quality determination capability are reduced
Solution Approach 1:
The patent introduces similarity measure objectives as an intermediary mechanism that bridges the gap between limited analog beamforming capabilities and the need for flexible beam selection. The similarity measures act as a computational mediator that compensates for the reduced flexibility of analog beamforming by providing intelligent ordering and selection guidance. This intermediary layer enables cost-effective analog beamforming systems to achieve adaptability through software-based similarity calculations, allowing the system to determine beam quality effectively without requiring the full flexibility of digital beamforming hardware.
Data Source
AI summary
There is provided mechanisms for configuring beamforming settings. A method is performed by a wireless radio transceiver device configured to communicate in directional beams. The method comprises obtaining a performance indication requiring configuration of the beamforming settings of the wireless radio transceiver device. The method comprises selecting a similarity measure objective based on what kind of performance indication was obtained. The method comprises determining, based on the similarity measure objective and results from a similarity measure procedure applied to pairs of received signals, an order in which to evaluate the directional beams when configuring the beamforming settings.