Wireless Scheduling with Increasing QoS for Inter-Dependent Data

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Solution Overview

Problem

Existing 5G NR networks struggle to efficiently communicate data sets with inter-dependent data, such as video frames, due to inadequate consideration of packet dependencies, leading to inefficiencies and high energy consumption, particularly in applications like Extended Reality (XR) where deterministic traffic patterns and high data rates are required.

Innovation Solution

The proposed solution involves configuring wireless networks to obtain a quality of service (QoS) indicator that increases reliability over time for data sets, ensuring that all data units are successfully communicated by scheduling resources accordingly, using a QoS indicator that identifies an increasing reliability level for successive data units.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If legacy 5G NR scheduling is used for data sets with inter-dependent data, then general data communication is supported, but communication efficiency deteriorates and energy consumption increases due to random packet drops and retransmissions

Engineering Contradiction:
Improvecommunication reliabilityVSAvoidcommunication efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent applies parameter changes by dynamically adjusting QoS parameters (reliability levels, priority, resource allocation) based on the inter-dependency relationships within data sets. Different packets within the same data set are assigned different reliability requirements, allowing the system to optimize communication efficiency while maintaining necessary reliability for complete data set delivery

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If traditional scheduling without considering packet dependencies is used, then resource allocation is simple, but resource wastage increases when packets are dropped and retransmitted

Engineering Contradiction:
Improvescheduling complexityVSAvoidenergy consumption
Core Design Contradiction:
Device complexityVSLoss of energy

Solution Approach 1:

The patent implements preliminary action by pre-identifying and marking packets with inter-dependency relationships before transmission. The access node analyzes data set structures in advance, assigns appropriate QoS parameters, and prepares scheduling decisions beforehand, preventing unnecessary retransmissions and reducing energy consumption without requiring complex real-time adjustments

Inventive Principle:
Principle #10Preliminary action

3Ease of operation

If uniform reliability level is applied to all packets in a data set, then scheduling is straightforward, but complete data set delivery reliability deteriorates when early packets are dropped

Engineering Contradiction:
Improvescheduling easeVSAvoiddata set delivery reliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent applies local quality by assigning different reliability levels to different packets within the same data set based on their specific importance and dependency relationships. Critical packets that must be delivered for complete data set reconstruction are assigned higher reliability levels, while less critical packets receive lower reliability levels, optimizing both scheduling feasibility and overall delivery reliability

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20250261036A1Methods for wireless communication of a data set of inter-dependent data
Publication Date: 2025.08.14 SONY GROUP CORP
  • US20250261036A1 patent drawing
  • US20250261036A1 patent drawing
  • US20250261036A1 patent drawing

AI summary

A method carried out in an access node of a wireless network for configuring communication of data with a user equipment, UE, the method comprising: obtaining (400) a quality of service, QoS, indicator associated with a data set comprising inter-dependent data, wherein said obtained QoS indicator identifies an increasing reliability level over the data set in time domain; scheduling (430) resources for communication of the data set with the UE according to said obtained QoS indicator.