Service-Specific BFR Parameter Configuration for Sidelink
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Solution Overview
Problem
Current wireless communication systems face challenges in performing optimal beam failure recovery (BFR) operations tailored to specific service requirements, as existing methods do not adequately consider service attributes such as priority, latency, and reliability when configuring BFR parameters.
Innovation Solution
A method for radio link monitoring by a UE in a wireless communication system that configures BFR parameters based on service attributes, including priority, latency, and reliability, and independently detects beam failures using BLER threshold values and BFI times, allowing for optimal BFR operations by discovering new beams and managing interference levels accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single BFR parameter configuration is used for all services, then device complexity is reduced, but service-specific reliability and latency requirements cannot be met
Solution Approach 1:
The patent segments the BFR parameter configuration into service-specific settings, where different services (e.g., voice, video, data) have dedicated BFR parameters including separate BLER thresholds, BFI counts, and timing values. This allows each service to have optimized failure detection and recovery parameters tailored to its specific reliability and latency requirements, resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The patent applies local quality by assigning different BFR parameter values to different services based on their specific requirements. High-priority services like voice receive more stringent BLER thresholds and lower BFI counts, while lower-priority services have more lenient parameters. This localized optimization ensures each service receives appropriate BFR treatment without requiring system-wide complexity.
2Reliability
If beam failure detection is performed for all services with equal strictness, then measurement precision is maintained, but high-priority services experience unnecessary delays
Solution Approach 1:
The patent implements local quality by assigning different detection strictness levels to different services. High-priority services use lower BLER thresholds and lower BFI count requirements, enabling faster beam failure detection. Lower-priority services use higher thresholds, reducing false alarms. This differentiated approach ensures high-priority services get timely detection while maintaining overall measurement precision.
Solution Approach 2:
The patent introduces dynamic BFR parameter adjustment based on service priority and current network conditions. The UE can adaptively select BFR parameters from predefined sets or adjust timing values dynamically, allowing fast detection for high-priority services while maintaining stability for lower-priority services. This dynamic adaptation resolves the contradiction between reliability and time loss.
3Reliability
If BFR parameters are configured for each service, then service-specific reliability is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by creating a unified BFR parameter framework that serves multiple services simultaneously. The UE maintains a centralized parameter configuration structure where service-specific parameters are organized in a hierarchical manner, allowing efficient memory utilization and simplified management. This multi-functional framework enables service-specific optimization without proportionally increasing device complexity.
Solution Approach 2:
The patent uses parameter changes by establishing predefined BFR parameter sets that can be selectively applied based on service type and network conditions. Instead of requiring completely unique parameters for each service, the system reuses and adapts parameter values, reducing the total parameter space to manage. This approach improves service-specific reliability while controlling device complexity through parameter reuse and adaptation.
Data Source
AI summary
Disclosed are a method and an apparatus for a terminal to perform a radio link monitoring in a wireless communication system for supporting a sidelink according to various embodiments. Disclosed are a method and an apparatus for a terminal to perform a radio link monitoring in a wireless communication system for supporting a sidelink, the method comprising: a step of setting a beam failure recovery (BFR) parameter for a plurality of services on the basis of service attributes, for each service; and a step of independently sensing a beam failure for at least one beam corresponding to each service on the basis of a block error ratio (BLER) threshold value included in the BFR parameter and the number of beam failure instances (BFIs).