UE Logical Channel Prioritization Using Packet Statistics

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Solution Overview

Problem

Existing methods of prioritizing information transmission in wireless networks are inefficient in terms of time, quality, and computing resources, and do not effectively adapt to transmission success or failure.

Innovation Solution

User Equipment (UE) devices autonomously adjust logical channel prioritization parameters based on packet statistics and quality of service requirements, increasing or decreasing priority for different types of information transmission to optimize bandwidth and reduce delays.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If existing methods of prioritizing information transmission are used, then transmission can occur, but efficiency in terms of time, quality, and computing resources is insufficient

Engineering Contradiction:
Improvetransmission efficiencyVSAvoidtransmission delay
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent implements dynamic adjustment of logical channel prioritization parameters based on real-time packet statistics and network conditions. The system continuously monitors transmission success rates, packet error rates, and queue lengths, then adapts priority levels accordingly. This dynamic approach allows the system to optimize transmission efficiency and reduce delays by responding to changing network conditions rather than using static prioritization rules.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent employs feedback mechanisms where packet statistics (success rates, error rates, queue lengths) are continuously monitored and fed back to the prioritization system. This feedback loop enables the system to learn from transmission outcomes and adjust priority parameters to improve future transmission efficiency. The feedback-driven adaptation directly addresses the inefficiency of existing methods by making prioritization decisions based on actual network performance data.

Inventive Principle:
Principle #23Feedback

2Adaptability or versatility

If existing prioritization methods are used, then information can be transmitted, but the system does not effectively adapt to transmission success or failure

Engineering Contradiction:
Improveadaptation to transmission conditionsVSAvoidtransmission reliability
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent enables the UE to autonomously adjust its own logical channel prioritization parameters based on observed packet statistics without requiring external network control. The system self-monitors transmission success rates, packet error rates, and queue lengths, then self-adjusts priority levels to adapt to transmission conditions. This self-service capability enhances both adaptability to changing conditions and reliability by ensuring the system responds appropriately to transmission outcomes.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent changes prioritization parameters (such as logical channel priorities, bandwidth parts, and resource allocations) based on observed transmission conditions. When packet error rates increase or transmission failures occur, the system adjusts parameters to favor more reliable transmission paths or channels. This parameter adaptation directly improves the system's ability to respond to transmission success or failure, enhancing both adaptability and reliability.

Inventive Principle:
Principle #35Parameter changes

3Use of energy by moving object

If existing prioritization methods are used, then transmission occurs, but computing resources are not optimized

Engineering Contradiction:
Improvecomputing resource usageVSAvoidresource allocation efficiency
Core Design Contradiction:
Use of energy by moving objectVSProductivity

Solution Approach 1:

The patent applies partial monitoring and adjustment by focusing computational resources on key packet statistics that most directly impact prioritization decisions. Rather than analyzing all possible network parameters, the system monitors selected metrics (packet success rates, error rates, queue lengths) that provide sufficient information for effective prioritization. This selective approach optimizes computing resource usage while maintaining productive resource allocation decisions.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20250287415A1Information prioritization in wireless networks
Publication Date: 2025.09.11 NVIDIA CORP
  • US20250287415A1 patent drawing
  • US20250287415A1 patent drawing
  • US20250287415A1 patent drawing

AI summary

Apparatuses, systems, and techniques of autonomously adjust priority of information to be transmitted by a UE device. In at least one embodiment, a UE device autonomously adjusts priority of information to be transmitted by adjusting prioritization parameters. In at least one embodiment, prioritization parameters are adjusted autonomously by a UE device that monitors packet statistics.