Route Selection for Wireless Transmit Receive Units
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently routing data and control information, particularly for artificial intelligence machine learning (AIML) applications, due to architectural constraints and limitations in traffic routing mechanisms.
Innovation Solution
The system employs a wireless transmit/receive unit (WTRU) with a processor configured to receive route selection policy information, determine existing protocol data unit (PDU) sessions, and modify these sessions to associate with different data networks based on location and criteria such as latency and quality of service, using network slices and PDU session modification requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If existing traffic routing mechanisms are re-used for AIML applications, then device complexity is reduced, but routing efficiency and performance for AIML operations deteriorate
Solution Approach 1:
The patent implements dynamic route selection by enabling the WTRU to modify PDU session associations between different data networks based on real-time criteria such as location, latency requirements, and QoS levels. This dynamic adaptation allows the system to optimize routing efficiency for AIML operations without requiring a complete redesign of the routing architecture, thus maintaining reasonable device complexity while improving productivity.
2Stability of the object's composition
If strict architectural assumptions are imposed on the communication system, then system stability is improved, but adaptability to support diverse AIML applications deteriorates
Solution Approach 1:
The patent applies local quality by allowing different data networks to be associated with specific AIML applications based on their characteristics. The WTRU can selectively associate PDU sessions with different data networks depending on location, latency requirements, and QoS levels, enabling tailored routing for different AIML operations while maintaining the overall stability of the communication architecture through standardized PDU session management.
3Productivity
If PDU session modification is performed based on location and criteria, then routing optimization is improved, but control mechanism complexity deteriorates
Solution Approach 1:
The patent implements self-service by enabling the WTRU to autonomously evaluate routing criteria (location, latency, QoS) and independently modify PDU session associations with different data networks. The WTRU receives route selection policy information indicating data networks and criteria, then autonomously determines optimal routing decisions and executes modifications without requiring complex centralized control mechanisms, thus improving routing optimization while limiting control complexity growth.
Data Source
AI summary
Described herein are systems, methods and instrumentalities associated with route selection for a wireless transmit/receive unit (WTRU), e.g., in association with an artificial intelligence machine learning (AIML) operation of the WTRU. An application function may provide guidance for determining a data network and a network slice for carrying out the AIML operation of the WTRU. The guidance may be provided through one or more route selection rules, based on which the WTRU may perform a protocol data unit (PDU) session modification triggered by a change of conditions (e.g., location) at the WTRU.