SDN Context-Aware Control for Proactive Network Resource Management
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Solution Overview
Problem
Current communications systems lack proactive and adaptive network control capabilities, limiting their ability to provide intelligent and global control due to the need for manual intervention by mobile devices, which restricts their context-awareness and efficiency.
Innovation Solution
A context-aware system is implemented using a Software Defined Network (SDN) controller that creates and applies context-aware models to enable proactive network control, allowing for centralized management and global intelligent control by collecting and processing target data based on predefined trigger conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If mobile device drives network device using sensor information, then network control is achieved, but network control capability is limited and cannot provide proactive service
Solution Approach 1:
The patent introduces a context-aware engine as an intermediary component between the mobile device and network device. This engine collects context information from multiple sources (sensor data, network status, user behavior), processes it through context-aware models, and generates intelligent control decisions. The intermediary enables the system to move from simple sensor-driven control to sophisticated context-aware proactive control, resolving the contradiction between automation extent and adaptability.
Solution Approach 2:
The patent implements preliminary action by using context-aware models to predict future network conditions and user needs before they actually occur. The system proactively adjusts network parameters, pre-allocates resources, and anticipates user requirements based on analyzed context patterns, rather than merely reacting to current sensor inputs. This enables proactive service delivery while maintaining comprehensive network control.
2Ease of operation
If network device integrates control and forwarding, then control function is achieved, but entire network cannot be globally and intelligently controlled
Solution Approach 1:
The patent segments the network control architecture into distinct functional components: a centralized context-aware engine for intelligent decision-making, separate network devices for control and forwarding operations, and distributed context information sources. This segmentation allows the system to maintain local control simplicity while achieving global intelligent coordination through the centralized engine that aggregates context information from across the entire network and coordinates actions globally.
3Loss of information
If sensor information is used to drive network device, then context awareness is achieved, but system cannot adaptively change based on context
Solution Approach 1:
The patent implements a comprehensive feedback mechanism where the context-aware engine continuously collects context information from multiple sources, analyzes it using context-aware models, generates control decisions, executes them through network devices, and then monitors the results to refine future decisions. This closed-loop feedback system enables the network to adaptively change its behavior based on accumulated context understanding, moving from static sensor response to dynamic contextual adaptation.
Data Source
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AI summary
This application discloses a control method, a related device, and a system. The method includes: sending, by a controller, a created context-aware model to a context-aware engine, where the context-aware model is used to define preset control performed when target data meets a trigger condition; receiving, by the controller, indication information; and performing, by the controller, the preset control based on the indication information. It can be learned that, when performing the preset control, the controller may provide a proactive service based on the context-aware model. In addition, the controller performs network control, and the context-aware engine obtains and forwards the target data, so that the controller performs centralized network control, thereby obtaining a global intelligent control capability and improving efficiency of performing context-aware control by the controller.