Dual-Connectivity Prediction Exchange for Network Coordination
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Solution Overview
Problem
Existing technologies have not adequately addressed the specifics of exchange prediction information between network devices under dual connectivity mode, which is crucial for efficient network operations.
Innovation Solution
Network devices are equipped with processors and transceivers to generate and transmit prediction information, or receive prediction information generated by other network devices, under dual connectivity mode, facilitating communication and coordination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If prediction information is exchanged between network devices under dual connectivity mode, then network efficiency and coordination accuracy are improved, but device complexity and implementation difficulty increase
Solution Approach 1:
The prediction information exchange process is segmented into distinct functional components: prediction information generation module, transmission module, and reception module. Each network device (first network device and second network device) has dedicated functional blocks that handle specific tasks independently, reducing overall system complexity while enabling efficient prediction exchange under dual connectivity mode
Solution Approach 2:
The patent introduces prediction information as an intermediary data structure that carries user equipment mobility predictions between network devices. This intermediary mechanism simplifies the exchange process by providing a standardized format and protocol for prediction information transmission, reducing the complexity of direct coordination between network devices
2Measurement precision
If prediction information is generated and transmitted between network devices, then coordination accuracy for user equipment mobility is improved, but information processing time and computational resources increase
Solution Approach 1:
The network devices generate prediction information in advance based on current network state and user equipment mobility patterns. This preliminary action allows the system to prepare coordination data before actual mobility events occur, improving coordination accuracy while minimizing real-time processing delays through proactive information generation
Solution Approach 2:
The patent employs parameter changes in the prediction information structure, including time-to-live values, validity periods, and update intervals. These parameter adjustments optimize the balance between information freshness and processing time, allowing accurate coordination while reducing computational overhead by updating predictions only when necessary
Data Source
AI summary
A network device and method for prediction information exchange under dual connectivity mode. The network device serves a UE under a dual connectivity mode. The network device generates a prediction information associated with a UE under the dual connectivity mode, and transmits the prediction information to another network device. The another network device serves the UE under the dual connectivity mode.