Wireless Network Management Framework Using NFV and SDN
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Solution Overview
Problem
Future wireless networks face challenges in managing high data volumes, numerous devices, and varying application requirements for flexibility, efficiency, and customization, especially with the advent of cloud-based networking, which demands more nimble and scalable architectures.
Innovation Solution
A framework for managing wireless networks is introduced, comprising a management plane with functionalities like infrastructure management, device connectivity management, and customer service management, utilizing network function virtualization (NFV) and software-defined networking (SDN) to adapt topology, track device locations, and negotiate quality of experience (QoE), incorporating a data analyzer for congestion and traffic reports, and integrating private network nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud-based networking is adopted to increase flexibility and scalability, then adaptability and versatility improve, but device complexity and infrastructure requirements worsen
Solution Approach 1:
The patent segments the network management functions into distinct modules: infrastructure manager for topology management, connectivity manager for device connections, customer service manager for service delivery, and data analyzer for analytics. This segmentation allows each component to operate independently, reducing overall system complexity while maintaining flexibility and scalability through cloud-based architecture.
2Productivity
If the number of devices is increased to support growing data volumes, then productivity improves, but managing connections and services becomes more complex
Solution Approach 1:
The patent introduces a connectivity manager as an intermediary component that automatically manages device connections, tracking device locations and updating virtual network configurations. This intermediary handles the complexity of managing numerous device connections, allowing the network to scale productivity without proportionally increasing management complexity.
Solution Approach 2:
The data analyzer component provides feedback mechanisms by collecting and analyzing network data, enabling automated adjustments to network configurations and resource allocation. This feedback loop allows the system to efficiently manage growing numbers of devices and data volumes without manual intervention, reducing the perceived complexity for operators.
3Adaptability or versatility
If network topology is adapted dynamically to meet varying application requirements, then adaptability improves, but control and management difficulty worsen
Solution Approach 1:
The infrastructure manager implements self-service capabilities by automatically adapting network topology based on congestion and traffic reports generated by the data analyzer. The system autonomously reconfigures virtual networks and resource allocations without requiring manual intervention, thereby maintaining ease of operation while achieving dynamic adaptability to varying application requirements.
Data Source
AI summary
An embodiment method of managing a wireless network includes managing an infrastructure topology for the wireless network. The wireless network includes a plurality of network nodes. The method further includes managing a connection of a user equipment (UE) to the wireless network. The method further includes managing a customer service provided to the UE over the connection. The method also includes managing analytics for the wireless network and the service.