Adaptive IS/OOS Threshold Configuration for 5G NR RLM
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Solution Overview
Problem
In 5G New Radio (NR) technologies, radio link monitoring (RLM) and beam failure detection (BFD) based on non-coherent PDCCH hypothetical block error rate (BLER) estimation lead to inaccuracy due to different fading effects, especially in channels with frequency-dependent fading, as they do not consider channel fading effects and use constant threshold values.
Innovation Solution
Adaptive configuration of in-sync (IS) and out-of-sync (OOS) threshold values based on channel parameter estimation using quasi-co-located tracking reference signals (TRS) and channel state information, allowing for dynamic adjustment of IS/OOS classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If non-coherent PDCCH hypothetical BLER estimation is used for RLM and BFD, then the estimation process is simplified, but measurement accuracy deteriorates due to ignoring channel fading effects
Solution Approach 1:
The patent changes the parameters used for BLER estimation from static non-coherent methods to dynamic coherent methods that incorporate channel state information (CSI) and tracking reference signal (TRS) measurements. This includes using channel quality indicators (CQI), reference signal received quality (RSRQ), and reference signal received power (RSRP) to adaptively adjust estimation parameters, thereby improving accuracy while managing complexity through structured parameter adaptation.
Solution Approach 2:
The patent implements feedback mechanisms where channel parameter estimates from TRS and CSI measurements are continuously fed back to adjust the BLER estimation process. The system monitors channel conditions, updates channel quality parameters, and uses this feedback to refine the hypothetical BLER estimation, creating a closed-loop system that improves measurement accuracy over time while maintaining manageable complexity through iterative refinement.
2Device complexity
If constant threshold values are used for IS/OOS classification, then the classification process is simplified, but reliability deteriorates under varying channel conditions
Solution Approach 1:
The patent transitions from static constant threshold values to dynamic adaptive thresholds that adjust according to channel conditions. The system uses channel quality indicators and fading measurements to dynamically modify the thresholds for in-sync/out-of-sync classification, ensuring reliable detection across varying channel environments while managing complexity through structured adaptation rules based on channel state information.
Solution Approach 2:
The patent changes the threshold parameters from fixed constants to variable parameters that adapt based on channel quality measurements. By using channel state information including CQI, RSRQ, and RSRP, the system adjusts threshold values dynamically to maintain reliable IS/OOS classification under different fading conditions, balancing reliability improvement with controlled complexity through parameter adaptation.
3Measurement precision
If coherent approach with channel parameter estimation is used, then measurement accuracy improves, but device complexity increases
Solution Approach 1:
The patent performs preliminary channel parameter estimation using tracking reference signals (TRS) and channel state information (CSI) before conducting the actual BLER estimation. By pre-obtaining channel quality indicators, fading measurements, and channel characteristics, the system prepares necessary parameters in advance, which simplifies the subsequent coherent BLER estimation process while maintaining high accuracy through pre-computed channel state information.
Solution Approach 2:
The patent introduces channel state information (CSI) and tracking reference signal (TRS) measurements as intermediary elements that bridge the gap between raw channel observations and final BLER estimation. These intermediaries provide structured channel parameter estimates that facilitate the coherent estimation process, improving accuracy by incorporating fading effects while managing complexity through the use of standardized intermediary parameters and measurement procedures.
Data Source
AI summary
Embodiments of the present disclosure describe methods, apparatuses, storage media, and systems for performing radio link monitoring or beam failure detection (RLM/BFD) in, or related to, a new radio (NR) involved network. Various embodiments are directed to adaptive configuration of threshold values for in-sync and/or out-of-sync (IS/OOS) in the NR involved network and adequately performing RLM/BFD. Such RLM/BFD with adaptive IS/OOS configuration may improve measurement accuracy and system performance. Other embodiments may be described and claimed.