PDU Set KPI Exchange for Adaptive Wireless Scheduling
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Solution Overview
Problem
Existing wireless communication systems lack efficient mechanisms for UE to communicate key performance indicators (KPIs) associated with protocol data unit (PDU) sets, leading to inflexible and suboptimal PDU set handling that does not account for network conditions or service level agreements.
Innovation Solution
The UE is configured to receive and communicate KPIs such as PDU set loss or discard quantities, using AI models to select parameters and adjust communication strategies based on these indicators, enabling enhanced PDU set handling and resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the UE uses fixed and inflexible PDU set handling mechanisms, then the system complexity is reduced, but the adaptability to network conditions and service level agreements deteriorates
Solution Approach 1:
The patent implements dynamic PDU set handling by enabling the UE to monitor network conditions and service level agreements in real-time, then adaptively adjust PDU set parameters such as size, composition, and transmission priorities. This transforms the static PDU set handling into a dynamic system that responds to changing network conditions, resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The patent changes key parameters of PDU sets based on monitored conditions, including PDU set size, threshold values for loss/discard indicators, and resource allocation parameters. By dynamically adjusting these parameters rather than using fixed configurations, the system achieves adaptability to network conditions while managing complexity through parameter-based control mechanisms.
2Measurement precision
If the UE communicates detailed KPIs for PDU sets, then the measurement precision of network performance is improved, but the loss of information due to overhead increases
Solution Approach 1:
The patent extracts and communicates only the most critical KPIs related to PDU set performance (such as loss indicators, discard indicators, and threshold violations) rather than transmitting complete detailed measurements. This selective extraction maintains measurement precision for key metrics while reducing overhead by omitting less critical information.
Solution Approach 2:
The patent implements partial reporting of KPIs by communicating summaries or aggregated statistics of PDU set performance rather than complete detailed data for every PDU set. This partial action approach maintains sufficient measurement precision for network optimization while reducing the information overhead to acceptable levels.
3Productivity
If the UE implements AI models for parameter selection, then the productivity of resource allocation is improved, but the device complexity increases
Solution Approach 1:
The patent implements self-service through AI models that enable the UE to autonomously select optimal parameters for PDU sets based on monitored network conditions and historical performance data. The AI-driven system automatically performs resource allocation decisions without requiring extensive external control, improving productivity while managing complexity through automated decision-making algorithms.
Data Source
AI summary
In some examples of the techniques described herein, one or more PDU set metrics or key performance indicators (KPIs) may be communicated between one or more UEs and network entities. For instance, a network entity may send configuration information to a UE for configuring the UE to communicate an indication of one or more KPIs associated with one or more PDU sets. The network entity and the UE may communicate the KPI(s). For instance, a UE or network entity may utilize one or more procedures to exchange one or more PDU set KPIs for enhanced coordination (e.g., information sharing) regarding traffic-oriented discarding or other behavior to enable changing scheduling patterns for improved KPI or service enablement. The KPI(s) may be utilized to modify the PDU set integrated handling information (PSIHI), PDU set delay budget (PSDB), PDU set error rate (PSER), or PDU set importance (PSI), among other examples.