Predictive QoS Network Node for 5G V2X Handovers
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Solution Overview
Problem
Current 5G networks reactively handle Quality of Service (QoS) changes, leading to inadequate performance in scenarios like Vehicle-to-everything (V2X) communication, where predictive measures are necessary to ensure safety by anticipating QoS changes during handovers between cells, especially in environments with scarce spectrum and time-varying radio signal propagations.
Innovation Solution
A network node and prediction function network node mechanism that determines the target serving cell for user equipment, providing information on QoS profiles and capabilities, allowing for proactive prediction and notification of QoS changes, enabling the network to adjust QoS profiles and support requirements accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reactive QoS handling is used in current 5G networks, then device complexity is reduced, but communication reliability deteriorates in V2X scenarios where predictive measures are necessary
Solution Approach 1:
The patent implements predictive QoS assessment by having the prediction function network node proactively evaluate QoS changes before handovers occur. The node receives information about target serving cells, predicts QoS parameters in advance, and notifies the network node before the actual handover, enabling preventive measures to be taken rather than reactive responses.
Solution Approach 2:
The patent introduces a prediction function network node as an intermediary between the network node and the core network. This intermediary collects cell information, performs QoS predictions, and provides advance notifications, thereby improving reliability without significantly increasing the complexity of existing network nodes.
2Reliability
If predictive QoS assessment is implemented, then communication reliability improves, but information processing requirements increase
Solution Approach 1:
The patent extracts the QoS prediction function from the main network node and places it in a separate prediction function network node. This separation reduces the information processing load on existing network nodes while maintaining the predictive capability. The prediction function node independently collects and processes cell information without burdening the primary network infrastructure.
3Reliability
If QoS prediction during handover is implemented, then service continuity improves, but device complexity increases due to additional prediction functions
Solution Approach 1:
The prediction function network node is designed with multi-functionality, serving both QoS prediction purposes and potentially other network optimization functions. By creating a versatile node that can handle multiple tasks, the patent reduces overall network complexity compared to adding dedicated specialized functions to each existing node.
Data Source
AI summary
A network node and method performed thereby, for enabling determination, by a prediction function network node, of a change in QoS of a communication session of a UE. The method includes obtaining information related to the UE communication session, the information including an ID of the UE and an ID of the communication session. The method further comprises determining the target serving cell of the UE and providing the obtained information and an ID of the determined target serving cell to the prediction function network node, thereby enabling the prediction function network node to determine new QoS of the UE communication session when being served by the target serving cell. A prediction function network node and a method performed thereby, and a user equipment and a method performed thereby are also disclosed.