Multiplexing Technology Selection for Communication Sessions
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Solution Overview
Problem
The transition between different multiplexing technologies during a communication session can cause disruptions, such as dropped calls, especially when user equipment (UE) is not capable of transitioning between them and is located in areas with overlapping networks using both technologies.
Innovation Solution
An optimal multiplexing technology is selected for a communication session based on network context, UE context, device profile, and usage history to minimize the likelihood of disruptions, considering factors like location, mobility profile, and past performance data to determine the best technology for the session.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the UE is located in an area with overlapping networks using two different multiplexing technologies, then the UE has access to more network options, but the transition between technologies during a communication session causes disruptions such as dropped calls
Solution Approach 1:
The system performs preliminary analysis of network context, UE context, device profile, and usage history before establishing a communication session to predict which multiplexing technology is most likely to be used. This advance preparation allows the system to select the optimal technology at session initiation, preventing the need for later transitions that would cause disruptions.
Solution Approach 2:
The system utilizes historical usage data and past performance information as feedback to continuously improve multiplexing technology selection. By analyzing previous session outcomes and network conditions, the system learns which technology choices lead to successful sessions without disruptions, thereby improving reliability over time while maintaining access to multiple network options.
2Device complexity
If the UE is not capable of transitioning between two different multiplexing technologies, then the device complexity is reduced, but the UE cannot adapt to changing network conditions during a communication session
Solution Approach 1:
The system performs preliminary analysis of network context, UE context, device profile, and usage history before establishing a communication session to predict which multiplexing technology is most likely to be used. This advance preparation allows the system to select the optimal technology at session initiation, preventing the need for later transitions that would cause disruptions.
Solution Approach 2:
The system autonomously selects the optimal multiplexing technology by analyzing available information including network context, UE context, device profiles, and usage history without requiring manual intervention or complex real-time transition capabilities. This self-service approach compensates for the UE's inability to transition between technologies.
3Reliability
If the system selects an optimal multiplexing technology based on multiple factors including network context, UE context, device profile, and usage history, then the communication session stability is improved, but the decision-making process becomes more complex
Solution Approach 1:
The system creates a universal decision-making framework that handles multiple types of input data (network context, UE context, device profile, usage history) through a unified process. This multi-functional approach consolidates what would otherwise be separate analysis processes into a single coherent system for selecting multiplexing technology, managing complexity while improving reliability.
Solution Approach 2:
The system autonomously selects the optimal multiplexing technology by analyzing available information including network context, UE context, device profiles, and usage history without requiring manual intervention or complex real-time transition capabilities. This self-service approach compensates for the UE's inability to transition between technologies.
Data Source
AI summary
The technology described herein selects an optimal multiplexing technology to use for a communication session. The optimal technology will minimize the probability of a disruption (e.g., a dropped call) during a communication session. A multiplexing decision process may be implemented when a user equipment (UE) is not capable of transitioning between two different multiplexing technologies and is located in a geographic area where networks using two different multiplexing technologies are available. In one aspect, the selection of an optimal multiplexing technology considers the network context at a time when the communication session is initiated, the UE's context (e.g., location near network edge, mobility profile), a device profile for the UE model, the UE history, and usage history for the user of the UE.


