Automated Radio Network Deployment via Cloud APIs
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Solution Overview
Problem
Existing radio-based network deployments, such as 4G and 5G radio access networks, rely on manual deployment and configuration, which is time-consuming and expensive. Additionally, previous generations of networks had software tied to vendor-specific hardware, limiting flexibility.
Innovation Solution
The implementation of an automated deployment, modification, and management system for radio-based networks using cloud provider network infrastructure. This system allows customers to order and deploy radio-based networks through APIs, with preconfigured hardware and automated provisioning, enabling plug-and-play installation and dynamic scaling based on utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual deployment and configuration is used for radio-based networks, then deployment control and customization are maintained, but deployment time and operational costs increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-configuring network elements, templates, and deployment parameters before actual deployment. The system uses pre-defined deployment templates that include all necessary configuration settings, hardware specifications, and network parameters, allowing automated deployment without manual configuration at the time of installation. This significantly reduces deployment time while maintaining consistency across multiple deployments.
Solution Approach 2:
The patent implements self-service through automated deployment systems that can independently provision network elements, allocate resources, and configure parameters without human intervention. The system automatically discovers available resources, selects appropriate network elements, and executes deployment procedures autonomously based on customer requirements and predefined policies, reducing both deployment time and operational costs.
2Adaptability or versatility
If software is tied to vendor-specific hardware in previous generations, then hardware compatibility is ensured, but flexibility and adaptability are limited
Solution Approach 1:
The patent applies segmentation by separating software components from hardware platforms, creating independent software modules that can run on different hardware vendors' equipment. The network software is divided into functional modules (radio resource management, core network functions, application layers) that can be independently deployed and configured on heterogeneous hardware, enabling multi-vendor compatibility while maintaining software flexibility.
Solution Approach 2:
The patent implements universality by developing a universal software platform that can operate on multiple hardware vendors' equipment through standardized interfaces and abstracted hardware access. The system uses virtualization and containerization technologies to create a common runtime environment that supports various hardware architectures, allowing the same software to function across different vendor platforms without modification.
3Loss of time
If automated deployment systems are implemented, then deployment time and costs are reduced, but system complexity and initial setup requirements increase
Solution Approach 1:
The patent uses an intermediary automation platform that acts as a mediator between customers and the complex network deployment infrastructure. This intermediate system provides simplified user interfaces and automated workflows that abstract the underlying complexity, allowing customers to deploy networks through simple high-level commands while the system handles the complex resource allocation, configuration, and coordination automatically.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting deployment parameters based on real-time conditions, available resources, and customer requirements. The system automatically modifies configuration parameters, resource allocation, and deployment schedules based on current network state and constraints, enabling flexible automated deployment that adapts to changing conditions without requiring complex manual configuration.
Data Source
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AI summary
Disclosed are various embodiments for automated deployment of radiobased networks. In one embodiment, a request to provision a radio-based network for a customer by a provider according to a network plan is received via an application programming interface (API) of a cloud provider network. An arrangement of a plurality of cells for the customer is determined. Respective antennas and radio units for individual ones of the plurality of cells are preconfigured to implement the radio-based network before shipping the respective antennas and the radio units to the customer.