Per-Flow Data Unit QoS Classification for Wireless Transmission

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing wireless communication systems struggle to effectively manage and prioritize data flows based on varying quality of service (QoS) requirements, leading to inefficiencies in handling diverse data types with different priority, importance, delay budgets, and reliability needs.

Innovation Solution

A wireless transmit and receive unit (WTRU) determines QoS classes for data units based on characteristics such as priority, importance, delay budget, and data type, applying distinct transmission parameters for each class to optimize data transmission.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a single QoS class is used for all data units in a flow, then device complexity is reduced, but data transmission efficiency deteriorates due to inability to prioritize different data types

Engineering Contradiction:
Improvedata transmission efficiencyVSAvoidQoS classification complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments data units into different QoS classes based on their characteristics (priority, importance, delay budget, data type). Each data unit is evaluated and assigned to an appropriate QoS class, allowing differentiated transmission parameter application. This segmentation enables high-priority data to be transmitted efficiently while maintaining manageable complexity through systematic classification rules.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by assigning different QoS treatment to different data units within the same data flow based on their specific characteristics. Each data unit receives transmission parameters tailored to its requirements (e.g., priority index, importance level, delay bound, reliability level), rather than applying uniform treatment to all data units. This allows optimal transmission efficiency for each data type while maintaining overall system manageability.

Inventive Principle:
Principle #3Local quality

2Reliability

If multiple QoS classes with distinct transmission parameters are applied to different data units, then data transmission efficiency is improved, but device complexity increases

Engineering Contradiction:
ImproveQoS requirement fulfillmentVSAvoidtransmission parameter management
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements preliminary action by pre-defining multiple QoS classes with specific transmission parameters before data transmission begins. Each QoS class is configured with appropriate parameters (priority index, importance level, delay bound, reliability level, bit rate, packet loss rate) in advance. When data units arrive, they are simply matched to pre-configured QoS classes based on their characteristics, reducing real-time decision complexity while ensuring reliable QoS fulfillment.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent utilizes parameter changes by varying transmission parameters (priority index, importance level, delay bound, reliability level, bit rate, packet loss rate) according to the specific QoS requirements of different data units. The system dynamically adjusts these parameters based on data unit characteristics and current network conditions, enabling reliable QoS fulfillment while managing complexity through parameterized QoS class definitions.

Inventive Principle:
Principle #35Parameter changes

3Loss of time

If data units are classified and transmitted with different parameters, then loss of time is reduced through priority handling, but device complexity increases due to classification requirements

Engineering Contradiction:
Improvedata transmission latencyVSAvoidcharacteristic evaluation complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The patent implements self-service by enabling data units to effectively classify themselves through their inherent characteristics (priority, importance, delay budget, data type). The WTRU evaluates these characteristics and automatically assigns appropriate QoS classes without requiring complex external classification mechanisms. This self-service approach minimizes classification complexity while enabling priority-based time optimization, as the system naturally routes high-priority data through low-latency paths.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20260040132A1Data classification within a flow
Publication Date: 2026.02.05 INTERDIGITAL PATENT HOLDINGS INC
  • US20260040132A1 patent drawing
  • US20260040132A1 patent drawing
  • US20260040132A1 patent drawing

AI summary

A WTRU receives configuration information indicating a plurality of QoS classes. The WTRU receives a data flow comprising a plurality of data units associated with characteristics. The WTRU determines a first characteristic is associated with a first data unit and a second characteristic is associated with a second data unit. The WTRU determines, based on the first characteristic, a first QoS class is associated with the first data unit, and based on the second characteristic, a second QoS class is associated with the second data unit. The WTRU determines, based the first QoS class, a first set of transmission parameters for the first data unit, and, based on the second QoS class, a second set of transmission parameters for the second data unit. The WTRU transmits the first data unit using the first set and transmits the second data unit using the second set.