Beam-Based RRM Relaxation for Stationary RedCap UEs
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Solution Overview
Problem
Current beam-based radio resource management (RRM) measurement relaxation methods in 3GPP new radio (NR) are inadequate for stationary RedCap UEs, leading to excessive energy consumption and battery drain due to insufficient detection of UE mobility status, especially in line-of-sight scenarios.
Innovation Solution
Implement beam-based measurement criteria and rules to classify UE location and mobility, allowing for enhanced RRM measurement relaxation by monitoring changes in the strongest beams or neighbor cells over a predefined time period, determining stationary or low-mobility states, and adjusting RRM configurations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beam-based RRM measurement relaxation methods are implemented in 3GPP NR, then measurement accuracy is improved, but energy consumption increases for stationary RedCap UEs
Solution Approach 1:
The patent implements dynamic adjustment of RRM measurement parameters based on detected UE mobility status. The network determines whether a UE is stationary or mobile and configures appropriate measurement parameters (e.g., measurement frequency, resource allocation) accordingly. This dynamic adaptation allows the system to maintain high measurement accuracy for mobile UEs while reducing measurement activity and energy consumption for stationary UEs.
Solution Approach 2:
The patent changes measurement parameters based on UE mobility state detection. When a UE is identified as stationary, the network modifies parameters such as reducing the frequency of RRM measurements, adjusting measurement resource allocation, or relaxing measurement reporting requirements. These parameter changes directly reduce the processing and measurement energy consumption while maintaining adequate network management for stationary devices.
2Reliability
If RRM measurements are performed frequently in RRC_IDLE/INACTIVE state, then network management quality is improved, but battery lifetime decreases for RedCap UEs
Solution Approach 1:
The system dynamically adjusts the frequency and intensity of RRM measurements based on the UE's mobility status detected through beam monitoring. For stationary UEs, measurement frequency is reduced or relaxed, directly extending battery lifetime. For mobile UEs, normal measurement frequency is maintained to ensure network management quality. This dynamic approach resolves the contradiction by adapting measurement intensity to actual UE needs.
Solution Approach 2:
The UE autonomously monitors beam changes and reports mobility status indicators to the network. Based on this self-reported information, the network configures appropriate measurement relaxation parameters. This self-service mechanism allows the system to maintain reliable network management while reducing unnecessary measurements for stationary UEs, thereby extending battery life without compromising overall network control.
3Measurement precision
If beam monitoring is implemented to detect UE mobility, then mobility detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential information needed for mobility detection from beam monitoring data, rather than processing complete beam measurement sets. The UE identifies changes in strongest beam indicators or beam quality metrics and reports these extracted mobility indicators to the network. This extraction approach maintains high mobility detection accuracy while significantly reducing the processing complexity and computational burden on the UE.
Solution Approach 2:
The system implements partial beam monitoring where the UE focuses on monitoring a subset of critical beams or specific beam indicators rather than performing exhaustive measurements on all configured beams. This partial action approach provides sufficient mobility detection accuracy for network decision-making while reducing the measurement and processing complexity at the UE side.
Data Source
AI summary
According to some embodiments, a method performed by a wireless device includes monitoring a set of two or more strongest beams over a predefined time period, and based on an amount of change in the set of two or more strongest beams over the predefined time period, determining whether the wireless device is stationary or low-mobility. The method may further include relaxing a radio resource management (RRM) measurement configuration.