Scheduling Request Resource Configuration for Wireless Networks
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing resources for scheduling requests, particularly in supporting high-reliability, low-latency services like Extended Reality (XR) and Cloud Gaming, while also optimizing battery life and power consumption for user equipment (UE).
Innovation Solution
The proposed solution involves an improved scheduling request (SR) resource configuration method, where a basestation transmits SR resource configurations to UE, with validity determined by predefined information or high-layer signaling, incorporating parameters such as DRX, TDD patterns, and configured grants, to optimize SR group switching and parameter adjustments based on timers and adjustment values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If SR resource configuration is dynamically adjusted to meet reliability requirements for XR and Cloud Gaming, then communication reliability is improved, but UE power consumption increases
Solution Approach 1:
The patent implements dynamic SR resource configuration where the basestation can modify SR parameters (periodicity, offset, resources) based on real-time traffic conditions and UE power consumption patterns. The system transitions from static SR configuration to dynamic adjustment, allowing the network to adapt SR resource allocation to actual service requirements while minimizing unnecessary UE power consumption.
Solution Approach 2:
The patent changes SR configuration parameters such as periodicity, offset, and resource allocation based on traffic conditions and UE capabilities. By adjusting these parameters dynamically, the system can meet reliability requirements for high-priority services like XR and Cloud Gaming while reducing power consumption for lower-priority traffic, thus resolving the contradiction between reliability and energy efficiency.
2Loss of time
If SR resource configuration is optimized for low-latency services, then transmission delay is reduced, but network resource management complexity increases
Solution Approach 1:
The patent segments SR configurations into different groups (e.g., SR group 1 for low-latency services, SR group 2 for normal services) with different priority levels and resource allocation strategies. This segmentation allows the network to manage complexity by handling different service types through standardized templates rather than custom configurations for each case.
Solution Approach 2:
The patent implements preliminary SR resource configuration where the basestation pre-configures SR parameters and resources before actual data transmission occurs. This allows low-latency services to have their SR resources ready in advance, reducing transmission delay when data needs to be sent, while the network manages complexity through pre-established configuration templates.
3Adaptability or versatility
If multiple SR groups are configured to support different service types, then service adaptability is improved, but configuration complexity increases
Solution Approach 1:
The patent creates a universal SR configuration framework where multiple SR groups share common configuration structures and management mechanisms. Each SR group can be configured with different parameters for different service types, but they all follow the same overall configuration paradigm, reducing the complexity increase that would result from completely separate configuration systems for each service type.
Data Source
AI summary
In wireless communication, an improved change of a schedule request (“SR”) resource configuration is provided. The SR resource configuration may be transmitted from a basestation to user equipment (“UE”) and may include a parameter for the configuring of one or more SRs. A validity of the SR resource configuration is determined based on predefined information or high layer signaling.