Network Slice Switching for Energy Optimization
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Solution Overview
Problem
Intelligent monitoring systems typically operate in fixed network bandwidth environments, leading to inefficient energy consumption due to constant network power usage.
Innovation Solution
A network management method and entity that dynamically adjust network resources based on detection results by switching between multiple network slices, utilizing a processor and communication transceiver to access and optimize network resources through machine learning models and reinforcement learning for power savings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the monitoring system operates in a fixed network bandwidth environment with constant network power usage, then the system maintains stable network service availability, but the energy consumption increases unnecessarily
Solution Approach 1:
The patent applies dynamics by enabling the network slice to switch between different operational states (active and dormant) based on real-time detection results. The network slice transitions from a static, always-on configuration to a dynamic one where resources are activated only when detection events occur, thereby maintaining service reliability while reducing energy consumption during idle periods.
Solution Approach 2:
The patent changes the network resource allocation parameter dynamically based on detection results. When no detection event occurs, the network slice switches to a dormant state with reduced or zero power consumption. When a detection result is obtained, the system activates the network slice with appropriate bandwidth and power levels, thus adapting energy consumption to actual service demands.
2Use of energy by moving object
If the network slice is switched dynamically based on detection results, then energy consumption is reduced, but the system complexity increases
Solution Approach 1:
The patent implements feedback by using detection results as input to control network slice activation. The detection module continuously monitors the environment and provides feedback signals that trigger network slice state transitions. This feedback mechanism automates the decision-making process, reducing the need for complex manual control systems while enabling intelligent, demand-driven resource allocation.
Solution Approach 2:
The system performs self-service by automatically switching network slices based on detection results without requiring external intervention. The detection module and network slice controller work together to autonomously activate or deactivate network resources according to actual service needs, simplifying overall system management while achieving energy efficiency.
3Adaptability or versatility
If multiple network slices are maintained for different detection scenarios, then the system adaptability improves, but the device complexity and resource requirements increase
Solution Approach 1:
The patent applies segmentation by dividing the network resources into multiple independent network slices, each optimized for specific detection scenarios or service types. This segmentation allows the system to activate only the required slice for each detection event, avoiding the need to maintain all possible service configurations simultaneously. Consequently, the system achieves high adaptability while keeping device complexity manageable through selective activation.
Solution Approach 2:
The network slice architecture provides multi-functionality by enabling a single network infrastructure to support multiple detection scenarios and service types. Through dynamic slice switching, the same physical network resources can serve different functional requirements (e.g., different bandwidth needs, different priority levels), thereby achieving versatility without proportionally increasing device complexity.
Data Source
AI summary
A network management method and a network entity are provided. In the method, a detection result is obtained. One of multiple network slices is switched to another according to the detection result. The detection result is a result of detecting an image. Each network slice provides a network resource. The image is accessed through the network resource. Accordingly, a network setting parameter could be dynamically adjusted to save energy.