Application-in-a-Box Edge Deployment System for 5G Infrastructure
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Solution Overview
Problem
Conventional systems for deploying 5G and IoT infrastructure face challenges in scalability, agility, and cost-effectiveness, requiring substantial setup time and expertise, and are not adaptable to dynamic operational conditions.
Innovation Solution
The Application-in-a-Box (AnB) system provides a pre-configured hardware and software package with a 5G wireless communication module, edge computing device, and centralized control module, enabling rapid deployment and optimization of applications by dynamically allocating resources between edge computing devices and cloud resources based on real-time network conditions and application requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional systems are used to deploy 5G and IoT infrastructure, then network architecture and edge computing capabilities can be established, but substantial setup time and expertise are required, reducing deployment speed and increasing complexity
Solution Approach 1:
The patent applies preliminary action by pre-configuring hardware units with all necessary components (5G modules, edge computing devices, sensors, cameras) before deployment. This allows the system to be deployed in minutes rather than months, as the complex infrastructure is already prepared and tested in advance, directly resolving the contradiction between deployment speed and setup time requirements
2Adaptability or versatility
If conventional deployment mechanisms are used, then infrastructure can be established, but the systems lack agility to adapt to dynamic operational conditions, reducing flexibility
Solution Approach 1:
The patent implements dynamics by creating a flexible deployment system where hardware units can be dynamically configured and deployed based on real-time operational conditions. The system includes automated resource allocation and can adapt to changing requirements without requiring complex manual reconfiguration, thus improving adaptability while managing complexity through automation
3Adaptability or versatility
If comprehensive 5G infrastructure is deployed to support diverse applications, then network capabilities are enhanced, but costs and complexity increase substantially
Solution Approach 1:
The patent applies segmentation by dividing the comprehensive 5G infrastructure into modular hardware units that can be independently deployed and configured. Each unit contains specific components (5G module, edge computing device, sensors, cameras) that can be selectively activated based on application requirements, reducing overall complexity while maintaining the capability to support diverse applications through combination of standardized modules
4Productivity
If manual deployment processes are used, then detailed configuration control is maintained, but deployment time and operational costs increase
Solution Approach 1:
The patent implements self-service through automated deployment processes where the system automatically configures, deploys, and optimizes resources without requiring extensive manual intervention. The hardware units are pre-configured with self-organizing capabilities that automatically establish connections and allocate resources based on detected conditions, significantly improving deployment efficiency while maintaining operational simplicity through automation
Data Source
AI summary
Systems and methods are provided for deploying applications within a wireless network infrastructure, including initiating, by a centralized control module in a pre-configured hardware unit having a 5G wireless communication module, edge computing device, centralized control module, and data processing module with access to cloud resources, a setup procedure upon receiving a deployment command, the setup procedure including activating the 5G wireless communication module to establish a network connection. User equipment for communication with sensors and cameras is deployed using an edge device through the network connection. Application deployment is managed using a centralized control module including an edge cloud optimizer for allocating resources between an edge computing device and the cloud resources based on real-time analysis of network conditions and application requirements. Computing resource allocation between the edge computing device and cloud resources is dynamically adjusted for application requirements and network conditions during automated application deployment and optimization.