Terminal QoS Control via Predicted Network Quality
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Solution Overview
Problem
Conventional technologies face challenges in achieving high communication performance, particularly in implementing quality assurance type communication services due to the difficulty in optimal QoS control across mobile networks, where terminal apparatuses possess uplink data communication volume and QoS requirements, leading to suboptimal network control and potential communication deterioration.
Innovation Solution
A communication system where a terminal apparatus requests QoS settings based on network quality information predicted by an application function using a learning model, allowing the network to perform optimal control considering the terminal's needs, thereby preventing excessive requests that could overwhelm network capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If QoS control is performed only in the core network, then network control is simplified, but optimal QoS control cannot be achieved because terminal-specific information is not available
Solution Approach 1:
The QoS control function is segmented between the terminal apparatus and the information processing apparatus. The terminal apparatus performs local QoS control decisions based on available information, while the information processing apparatus provides quality information and receives QoS requests. This segmentation allows optimal QoS control without requiring the entire control logic to be centralized in the core network.
Solution Approach 2:
The information processing apparatus acts as an intermediary between the terminal apparatus and the core network. It receives quality information from the core network, processes it, and provides it to the terminal apparatus. This intermediary enables the terminal to make informed QoS decisions without directly complicating core network control.
2Productivity
If terminal apparatus makes QoS requests without quality information, then QoS control can be initiated, but excessive or inappropriate requests may overwhelm network capacity
Solution Approach 1:
The information processing apparatus performs preliminary actions by acquiring quality information from the core network and providing it to the terminal apparatus before the terminal makes QoS requests. This preliminary provision of information enables the terminal to make appropriate QoS requests without overwhelming the network, as it can assess current network conditions.
Solution Approach 2:
A feedback mechanism is established where the information processing apparatus continuously provides quality information to the terminal apparatus based on core network status. This feedback loop enables the terminal to adjust its QoS requests dynamically according to actual network conditions, preventing excessive requests while maintaining high productivity in QoS processing.
Data Source
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AI summary
A communication apparatus that functions as a user apparatus in a mobile network including a core network includes: a communication control unit configured to establish a session in an application layer with an information processing apparatus capable of controlling the mobile network via a function of the core network; an acquisition unit configured to acquire quality information related to communication using the mobile network, from the information processing apparatus in the session; a decision unit that decides Quality of Service (QoS) regarding a service desired to be used by the communication apparatus, based on the quality information acquired and information related to the service desired to be used by the communication apparatus; and a transmission unit configured to transmit a request for the QoS to the information processing apparatus.