AI-Native Configured Grant Timers for Adaptive Uplink Scheduling
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently adjusting the periodicity of uplink data transmissions and retransmissions based on network conditions and application parameters, leading to inefficiencies in resource allocation and increased latency.
Innovation Solution
Implementing AI-native configured grant timers that allow user equipment (UE) to recommend and network entities to adjust configured grant timer values based on performance indicators and machine learning models, enabling dynamic adjustment of transmission occasions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed periodicity is used for uplink transmissions, then resource allocation is simple, but resource allocation efficiency deteriorates and latency increases
Solution Approach 1:
The patent applies dynamics by transitioning from fixed periodicity to dynamic timer values that can be adjusted based on network conditions and application parameters. The configured grant timer and configured grant retransmission timer are made adjustable, allowing the system to adapt transmission timing to current network state, thereby improving resource allocation efficiency while managing complexity through standardized adjustment mechanisms.
Solution Approach 2:
The patent implements parameter changes by modifying timer values (configured grant timer and configured grant retransmission timer) based on performance indicators and network conditions. The system changes temporal parameters dynamically, adjusting transmission occasions and retransmission timing to optimize resource utilization while maintaining manageable configuration complexity through defined adjustment rules.
2Loss of time
If transmission occasions are fixed, then system operation is simple, but latency increases due to inability to adjust to network conditions
Solution Approach 1:
The patent applies dynamics by making transmission timing adaptive rather than fixed. The timer values are adjusted based on network conditions and application parameters, allowing the system to reduce latency when needed while maintaining operational simplicity through automated adjustment mechanisms that require minimal manual intervention.
Solution Approach 2:
The patent implements feedback by using performance indicators to trigger timer adjustments. The system monitors network conditions and application performance, then automatically adjusts transmission timing accordingly. This feedback mechanism reduces latency by adapting to actual network state while maintaining ease of operation through automated control.
3Productivity
If dynamic timer adjustment is implemented, then resource allocation efficiency improves, but device complexity increases
Solution Approach 1:
The patent implements parameter changes by providing standardized mechanisms for adjusting timer values based on performance indicators. The system changes temporal parameters through defined rules and thresholds, improving resource allocation efficiency while managing complexity through structured adjustment procedures rather than arbitrary modifications.
Solution Approach 2:
The patent applies self-service by enabling the system to automatically adjust timers based on monitored performance indicators without requiring constant external control. The system self-regulates transmission timing based on its own performance data, improving resource allocation efficiency while reducing the operational complexity of manual timer management.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A machine learning model implemented at a user equipment (UE) may be used to determine recommendation information associated with a configured grant. The recommendation information may be a value for a timer, such as a configured grant timer or a configured grant retransmission timer. The UE may signal the recommendation information to a network entity. The network entity may adjust configuration information for a configured grant to indicate a configured grant timer value that is based on the recommendation information. The network entity may transmit the adjusted configured information to the UE. During a configured grant period associated with the configured grant, the UE may use the CG timer value that is based on the recommendation information when transmitting or retransmitting an uplink message.