Probe-as-a-Service Platform for Cellular Network Data Access
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Solution Overview
Problem
Enterprise customers of cellular networks lack access to the data and metadata generated by network resources, hindering their ability to manage usage or configuration of these resources in a meaningful and insightful way.
Innovation Solution
A probe-as-a-service platform that provides real-time measurement context of the cellular network to customers, enabling dynamic control of network resources through specialized virtualized artificial intelligence or machine learning (AI/ML) enabled probes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If network resources generate data and metadata for cellular network operations, then network operations can be monitored and managed, but customers do not have access to this data and cannot optimize their usage or configuration
Solution Approach 1:
The patent introduces probe agents as intermediary components deployed within the cellular network infrastructure. These probe agents collect, aggregate, and process network data and metadata, then provide access to customers through controlled interfaces. This intermediary layer enables customer access to network information without requiring direct access to core network resources, thus resolving the contradiction between information accessibility and network complexity.
2Productivity
If customers gain access to real-time network data for optimizing resource usage, then management efficiency improves, but the system requires complex probe deployment and data processing infrastructure
Solution Approach 1:
The probe-as-a-service platform enables customers to independently deploy probe agents, configure data collection parameters, and access their own network performance data through self-service interfaces. Customers can optimize their network resource usage without requiring complex manual configuration or deep technical expertise. The platform automatically handles probe deployment, data aggregation, and presentation, allowing customers to focus on optimization while the system manages the complexity.
3Measurement precision
If probe agents are deployed at multiple network locations for comprehensive data collection, then measurement precision improves, but the complexity of probe management and data aggregation increases
Solution Approach 1:
The patent merges multiple distributed probe agents into a unified probe-as-a-service platform that centrally manages data collection across the network. The platform combines data from multiple probe locations, aggregates it according to configured parameters, and presents consolidated measurements to customers. This merging approach maintains high measurement precision through multi-location data collection while reducing management complexity through centralized control and automated data processing.
Data Source
AI summary
Technologies for providing probes-as-services to customers of a cellular network are described. One method receives a request including a probe template with a set of programmable parameters, specifying a set of one or more probe collects, a machine learning (ML) model, and a northbound application. The method collects, using the set of probe collectors, input data from a set of probe agents programmed by the set of probe collectors, each probe agent located at least one of an infrastructure resource of the cellular network, a sensor associated with the cellular network, or a user equipment (UE) connected to the cellular network. The method generates, using the ML model, observation data based on the input data. The method provides the observation data, such as a key performance indicator (KPI) or a state of a resource, to the northbound application.