Session Identifier for 5G Single-Modal Flow Synchronization
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Solution Overview
Problem
The 5G system lacks a feature to configure and manage the association between single-modal data flows and multi-modal data sets, leading to challenges in synchronization and resource allocation.
Innovation Solution
A method implemented in a wireless transmit/receive unit (WTRU) and network nodes, where a session identifier is used to associate single-modal data flows with a multi-modal data set, enabling proper synchronization and resource allocation through quality of service (QoS) rules and policy and charging control (PCC) rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the 5G system does not configure association between single-modal data flows and multi-modal data sets, then the system complexity remains low, but synchronization and resource allocation efficiency deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-configuring association relationships between single-modal data flows and multi-modal data sets in the network node before actual data transmission. The session identifier is预先 assigned to represent a group of associated data flows, enabling the network to proactively establish synchronization rules and resource allocation policies in advance, rather than reacting to synchronization needs during data transmission
Solution Approach 2:
The patent uses copying by creating a simplified representation of the multi-modal data set association through a session identifier. Instead of managing complex direct relationships between multiple data flows, the system creates a copy/abstract (the session ID) that represents the entire associated group, making configuration and management easier while maintaining the underlying complex associations
2Reliability
If the 5G system does not support session identifier-based association, then the feature set remains simple, but quality of service management for multi-modal data sets deteriorates
Solution Approach 1:
The patent applies segmentation by dividing QoS management into two distinct layers: session-level management (using session identifiers to represent groups of data flows) and flow-level management (individual data flow characteristics). This segmentation allows the system to apply different management strategies to different levels, improving QoS reliability for multi-modal data sets while maintaining feature versatility through the modular approach
Solution Approach 2:
The session identifier acts as an intermediary between the network's QoS management mechanisms and the actual multi-modal data flows. Rather than directly managing complex associations between multiple data flows, the session ID serves as a mediator that links the network's resource allocation and synchronization functions to the grouped data flows, enabling reliable QoS management without requiring direct knowledge of each individual flow's characteristics
3Loss of time
If single-modal data flows are not associated with multi-modal data sets, then resource allocation is simpler, but timely delivery of synchronized data deteriorates
Solution Approach 1:
The patent reduces data delivery time through preliminary action by pre-establishing association relationships and synchronization rules using session identifiers before data transmission begins. The network node预先 configures how data flows should be grouped and synchronized, so that when data transmission occurs, the timing and resource allocation are already optimized, eliminating the need for complex real-time decisions during actual data delivery
Solution Approach 2:
The patent applies another dimension by introducing a session identifier dimension that overlays the traditional single-modal data flow management. Instead of managing only individual flow characteristics, the system adds a new dimension of session-level grouping that enables multi-modal data set associations, allowing synchronized delivery across multiple flows without increasing complexity within the traditional management dimension
Data Source
AI summary
Procedures, methods, architectures, apparatuses, systems, devices, and computer program products directed to methods, architectures, apparatuses, systems directed for associating single-modal flows for synchronization and resource allocation.