SSB Beam Failure Detection Thresholds for Network Energy Modes
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing beam failure detection due to varying network energy modes, leading to increased energy consumption and potential misalignment in radio link management procedures.
Innovation Solution
Implementing different network energy modes for synchronization signal blocks (SSBs) with distinct parameter thresholds for beam failure recovery (BFR) procedures, allowing UEs to adapt their detection methods based on the energy mode of the network, and configuring appropriate thresholds for initiating BFR.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a single threshold value is used for beam failure detection across all SSB transmissions, then the system is simple to implement, but it cannot adapt to different network energy modes leading to suboptimal energy efficiency
Solution Approach 1:
The patent applies parameter changes by introducing different threshold values for beam failure detection based on network energy modes. The network entity configures multiple threshold values corresponding to different energy modes (e.g., energy saving mode, normal mode), and the UE selects the appropriate threshold based on the current energy mode of the SSB transmission. This allows the system to adapt detection sensitivity to energy constraints without changing the fundamental detection mechanism.
Solution Approach 2:
The patent implements dynamics by making the beam failure detection threshold dynamic rather than static. The threshold value changes based on the network energy mode, which can switch between different states (energy saving, normal). This dynamic adaptation allows the system to optimize energy efficiency while maintaining reliable detection under varying operational conditions.
2Use of energy by moving object
If different threshold values are configured for different network energy modes, then energy efficiency is improved, but the system complexity increases due to multiple configuration parameters
Solution Approach 1:
The patent applies segmentation by dividing the beam failure detection process into distinct segments based on network energy modes. Each energy mode has its own configured threshold value, creating separate detection pathways. The network entity configures multiple threshold values (e.g., first threshold for energy saving mode, second threshold for normal mode), and the UE segments its detection behavior accordingly, selecting the appropriate threshold based on the current mode.
Solution Approach 2:
The patent implements local quality by applying different detection parameters locally to different energy modes. Instead of a uniform threshold across all operations, the system applies specific threshold values tailored to each energy mode's characteristics. This localized parameter application optimizes detection performance for each operational context while managing overall system complexity.
3Reliability
If beam failure detection is performed for all SSB transmissions regardless of energy mode, then detection coverage is maximized, but energy consumption increases unnecessarily
Solution Approach 1:
The patent applies parameter changes by adjusting the detection threshold parameter based on network energy modes. In energy saving modes, a higher (more lenient) threshold is used, which reduces the likelihood of triggering beam failure detection and subsequent recovery procedures, thereby saving energy. In normal modes, a lower (stricter) threshold ensures comprehensive detection. This parameter adaptation maintains reliability while managing energy consumption.
Solution Approach 2:
The patent implements partial action by applying beam failure detection with different stringency levels based on energy modes. In energy saving modes, the system performs partial detection using a more lenient threshold, which is sufficient for maintaining reliability while consuming less energy. In normal modes, full detection with stricter thresholds is applied. This selective approach avoids excessive energy consumption while maintaining adequate detection coverage.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described for multiple network energy modes at a network entity, where different network energy modes are associated with different energy consumption. A network entity may provide, and a user equipment (UE) may receive, configuration information for a set of synchronization signal block (SSB) transmissions, where different subsets of SSBs use different network energy modes. A UE may measure one or more parameters for at least a first SSB, and initiate a beam failure recovery (BFR) procedure based at least in part on the network energy mode associated with the first SSB and a threshold value associated with the one or more parameters. In some aspects, different SSBs associated with different network energy modes may use different parameter thresholds for initiating the BFR procedure.