Network Slice Resource Control Using Terminal Motion Prediction
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Solution Overview
Problem
Network slicing technologies fail to adequately address resource allocation imbalances and changes in demand due to terminal distribution and movement, leading to potential service quality failures.
Innovation Solution
A network operating system with a motion predictor and resource controller that predicts terminal movement and adjusts resource allocation to radio base stations accordingly, optimizing network slices through advanced preparation and resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network slicing shares resources among terminals of the same service type, then resource utilization efficiency is improved, but service quality cannot be maintained when terminal distribution changes suddenly
Solution Approach 1:
The motion predictor predicts terminal movement trajectories in advance, and the resource controller pre-allocates resources to base stations that will serve predicted terminal destinations before terminals actually arrive. This preliminary action ensures service quality is maintained during sudden terminal distribution changes while still allowing resource sharing among terminals of the same service type.
2Ease of operation
If resources are statically allocated to base stations, then network management simplicity is improved, but the system cannot respond to sudden concentration or dispersion of terminals
Solution Approach 1:
The resource allocation system transitions from static to dynamic by continuously predicting terminal motion and adjusting base station resource allocation in real-time. The motion predictor and resource controller work together to dynamically adapt resource distribution to current and predicted terminal locations, enabling the system to respond to sudden terminal concentration or dispersion while maintaining automated management.
3Adaptability or versatility
If network slicing divides physical infrastructure into logical units, then service customization for different terminal types is improved, but resource allocation imbalance occurs when terminal distribution changes
Solution Approach 1:
The system implements feedback by continuously monitoring actual terminal distributions and comparing them with predicted distributions. The resource controller uses this feedback to adjust resource allocation to base stations, ensuring balanced resource distribution across network slices while maintaining service customization for different terminal types.
Data Source
AI summary
In a network operating system, a consumed resource manager of a slicing control device manages a resource consumed by a base station. A terminal information manager manages a type of terminal and a service in use. A cell manager manages cell information and creates a neighbor cell list. A movement information acquirer acquires movement information suggesting motion of a terminal. A motion predictor predicts, on the basis of the movement information, a future position or motion of the terminal. A resource controller and sets aside the resource in advance.