Hierarchical Data Analytics Management for Wireless Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing number of devices and infrastructure elements in wireless networks leads to significant network resource usage for data logging and reporting, with potential duplication of data transmission to various parties, inefficiently utilizing resources that could be better allocated to provide network services.
Innovation Solution
A centralized data analytics management (DAM) system with a hierarchical architecture, including global and domain DAM entities, that collects and consolidates data from local infrastructure elements on demand, providing data analytics information to various requesters while minimizing redundant data transmission and optimizing network resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If every infrastructure element logs and transmits data to multiple requesters, then complete data coverage is achieved, but network resource consumption increases significantly
Solution Approach 1:
The patent introduces a centralized Data Analytics Management (DAM) entity as an intermediary between infrastructure elements and multiple requesters. The DAM entity consolidates data collection from infrastructure elements and distributes processed analytics to various requesters, eliminating redundant data transmission while ensuring complete data coverage for all parties involved.
Solution Approach 2:
The patent merges multiple data collection and transmission operations into a single centralized DAM entity. Instead of each infrastructure element independently transmitting data to multiple requesters, the DAM entity consolidates these operations, collecting data once and distributing it to all requesters, thereby reducing network resource consumption while maintaining comprehensive data coverage.
2Adaptability or versatility
If multiple parties receive data transmissions from infrastructure elements, then all parties get their required information, but redundant data transmission occurs
Solution Approach 1:
The DAM entity serves as a mediator that receives data from infrastructure elements once and distributes processed analytics to multiple requesters. This intermediary approach enables versatile data distribution to all required parties while eliminating redundant transmissions that would occur if each requester received direct transmissions from infrastructure elements.
Solution Approach 2:
The centralized DAM entity provides universal data distribution services to multiple different requesters (network operators, service providers, third parties) through a single data collection and processing system. This multi-functional approach allows all parties to receive their required information without each party needing separate data transmission channels.
3Ease of operation
If infrastructure elements transmit logged data to various requesters, then data accessibility is improved, but network resources are inefficiently utilized
Solution Approach 1:
The DAM entity acts as an intermediary that centralizes data processing and distribution, improving data accessibility for all requesters while freeing up network resources. By handling data collection, processing, and distribution centrally, the DAM entity eliminates inefficient redundant transmissions and allows network resources to be reallocated for providing core network services.
Solution Approach 2:
The patent extracts the data analytics management function from the infrastructure elements and places it in a dedicated DAM entity. This extraction improves data accessibility for all requesters while allowing infrastructure elements to focus on their primary network service functions, thereby improving overall network productivity and resource utilization.
Data Source
AI summary
An improved system and method for providing data analytics management (DAM), in particular for wireless networks having multiple domains, is disclosed. Some embodiments utilize a hierarchical DAM structure. Such a hierarchy includes a Global DAM function which provides inter network DAM, and domain DAM functions which provide intra network DAM. Some embodiments utilize a plurality of local DAM functions within a domain. In some embodiments, the global DAM can be implemented by a third party. In other embodiments, different networks inter operate by utilizing virtual network slices over non-owned infrastructure to provide what appears to be a global network by each operator. For such embodiments, DAM can be performed on a per slice basis.