Beam Failure Detection Across RRC States
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing beam failure detection and recovery, particularly in dynamic and diverse radio access technologies such as LTE and 5G NR.
Innovation Solution
The implementation of advanced beam management processes, including enhanced beam failure detection mechanisms and efficient recovery procedures, within the wireless communication system. This involves the use of technologies like beam sweeping, CSI-RS measurements, and dynamic bandwidth part adaptation to ensure robust connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional beam failure detection mechanisms are used, then system complexity is reduced, but beam failure detection speed and reliability deteriorate
Solution Approach 1:
The beam failure detection process is segmented into multiple independent components: beam failure detection reference signals (BF DRSS) are transmitted separately from data channels, and multiple candidate beams are evaluated independently. This segmentation allows for more reliable detection without overwhelming system complexity, as each component can be optimized separately.
Solution Approach 2:
The system performs preliminary beam failure detection by monitoring BF DRSS before actual beam failure occurs. Candidate beams are pre-identified and evaluated, allowing the system to detect potential failures early and switch to backup beams proactively, improving reliability while maintaining manageable complexity through structured pre-planning.
2Reliability
If advanced beam failure detection mechanisms are implemented, then beam failure detection reliability is improved, but device complexity increases
Solution Approach 1:
The beam failure detection mechanism is designed to work across multiple radio access technologies (LTE and 5G NR) using unified principles. The same BF DRSS-based detection approach applies to both LTE and NR, reducing the need for separate complex management systems for each technology while maintaining high reliability through consistent multi-technology implementation.
Solution Approach 2:
The system implements continuous feedback loops where beam quality measurements from BF DRSS are constantly monitored, compared against thresholds, and used to trigger beam switching decisions. This automated feedback mechanism improves detection reliability while reducing the need for manual intervention, thereby managing operational complexity despite advanced detection capabilities.
3Reliability
If beam sweeping and CSI-RS measurements are used for beam management, then connectivity reliability is improved, but processing time and system complexity increase
Solution Approach 1:
Beam sweeping and CSI-RS measurements are performed periodically at optimized intervals rather than continuously. This periodic action maintains connectivity reliability by regularly updating beam information while reducing processing time and system complexity by allowing the system to operate with existing beam data between measurement periods.
Solution Approach 2:
CSI-RS measurements and beam evaluations are performed in advance to identify candidate beams before they are needed for connectivity. This preliminary action ensures that when beam failures occur, the system can quickly switch to pre-validated candidate beams, maintaining reliability while reducing real-time processing time.
Data Source
AI summary
Certain aspects of the present disclosure relate to beam failure detection (BFD) and/or beam failure recovery (BFR) for wireless communication systems, more particularly BFD and/or BFR while a wireless device operates in different RRC states. The process(es) and/or configuration parameter(s), used by a wireless device, for BFD and/or BFR may be based on the RRC state of the wireless device.