UE Radio Link Failure Parameter Selection for Adaptive Connectivity
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in radio link failure procedures due to semi-static configuration of radio link failure parameters, which fail to account for the UE's current operating conditions, leading to potential service interruptions and inefficient resource usage.
Innovation Solution
User equipment (UE) autonomously selects radio link failure parameter values, such as in-sync and out-of-sync counters, and timers, based on configuration signaling, current, and historic radio link measurements, potentially using AI/ML models to optimize these values for improved communication reliability and latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the network configures the UE with fixed values for radio link failure parameters, then the configuration is simple and easy to manage, but the UE may experience service interruptions and inefficient radio resource usage due to inability to adapt to changing radio conditions
Solution Approach 1:
The patent makes the radio link failure parameters dynamic by allowing the UE to autonomously select values from configured ranges based on current radio link measurements. The UE adjusts parameters such as Qout, Qin, N310, N311, and T310 dynamically according to radio conditions, transitioning from static network-configured values to adaptive UE-selected values.
Solution Approach 2:
The patent implements self-service by enabling the UE to autonomously select optimal parameter values within network-configured ranges based on its own radio link measurements and conditions. The UE independently determines the best parameters without requiring continuous network reconfiguration, making the system self-adjusting.
2Reliability
If the UE uses conservative parameter values to maintain connection stability, then service interruptions are reduced, but radio resource usage becomes inefficient due to delayed failure detection
Solution Approach 1:
The patent changes the parameter values based on radio conditions. The UE selects from multiple configured ranges of values for parameters like Qout, Qin, N310, N311, and T310, adjusting them dynamically to balance connection stability and failure detection speed. Different parameter sets can be selected for different radio condition scenarios.
Solution Approach 2:
The patent implements feedback through continuous radio link measurements that inform parameter selection. The UE monitors radio link quality and uses this feedback to autonomously select appropriate parameter values, creating a closed-loop system that adapts to changing conditions in real-time.
3Reliability
If the UE frequently updates parameter values to optimize for current radio conditions, then communication reliability improves, but the processing overhead and complexity increase
Solution Approach 1:
The patent applies partial action by having the UE select from a limited set of pre-configured ranges provided by the network. Rather than evaluating all possible parameter combinations, the UE works within constrained ranges that have been pre-optimized, reducing processing overhead while maintaining the ability to adapt to radio conditions.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. In some systems, a user equipment (UE) may monitor one or more metrics for a radio link to determine whether to trigger radio link failure. The UE may use an in-sync counter, an out-of-sync counter, and a radio link failure timer to track the radio link quality. A network entity may transmit, to the UE, configuration signaling indicating ranges of values for the in-sync counter, the out-of-sync counter, the radio link failure timer, or any combination thereof. The UE may select values to use for the in-sync counter, the out-of-sync counter, the radio link failure timer, or any combination thereof based on the configured ranges, one or more current radio link measurements, and historic radio link measurements. In some cases, the UE may use an artificial intelligence (AI) model to perform the value selection for radio link failure detection.