Mobile Network Analysis of Non-Network Element Traffic Data

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Solution Overview

Problem

Conventional mobile network analysis systems fail to assess the impact of non-network elements, such as mobile device vendors, models, operating systems, and applications, on subscriber experience and resource utilization, and do not effectively leverage traffic data to improve network performance.

Innovation Solution

A system and method that receive and analyze traffic data from non-network elements to determine their effects on resource utilization and subscriber experience, allowing for the evaluation of different communication procedures and their impact on network resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional network analysis systems only analyze infrastructure elements, then the analysis scope is limited and simple, but the ability to determine effects of non-network elements on resource utilization is lost

Engineering Contradiction:
Improveability to determine effects of non-network elementsVSAvoidanalysis scope coverage
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system segments network analysis into two distinct components: infrastructure element analysis and non-network element analysis. By separating these analysis targets, the system can apply specialized methods to each, enabling precise measurement of non-network element effects while maintaining comprehensive analysis scope.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system introduces traffic data as an intermediary element that connects infrastructure elements with non-network elements. This traffic data serves as the mediator through which the system can observe and measure the effects of non-network elements on resource utilization without directly accessing them.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If conventional systems focus only on infrastructure components, then the analysis process is straightforward, but subscriber experience factors related to non-network elements cannot be determined

Engineering Contradiction:
Improvesubscriber experience assessment accuracyVSAvoidsystem analysis complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system implements feedback loops where traffic data from non-network elements is continuously collected, analyzed, and used to refine the understanding of subscriber experience factors. This feedback mechanism enables reliable assessment of how non-network elements impact subscriber experience while managing system complexity through iterative improvement.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary collection and organization of traffic data before conducting detailed analysis of subscriber experience factors. By preparing the data in advance and establishing baseline measurements, the system can accurately assess non-network element effects without overwhelming complexity during the actual analysis phase.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If traffic data from non-network elements is not collected, then data processing is simpler, but opportunities to improve network resource utilization through communication procedure changes are missed

Engineering Contradiction:
Improvenetwork resource utilizationVSAvoidtraffic data from non-network elements
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The system extracts traffic data specifically from non-network elements, separating this information stream from general network traffic. By extracting and isolating this data, the system can analyze communication procedures and their impact on resource utilization without being overwhelmed by the complexity of complete network data.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system changes the parameter of data collection by specifically targeting traffic data parameters from non-network elements rather than attempting to collect all network data. This selective parameter change enables focused analysis of communication procedures and their effect on resource utilization while minimizing data processing overhead.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP2673974B1System and method for determining effects of non-network elements on network resource utilization in a mobile network
Publication Date: 2017.04.05 ASCOM NETWORK TESTING INC
  • EP2673974B1 patent drawingFigure 1
  • EP2673974B1 patent drawingFigure 2
  • EP2673974B1 patent drawingFigure 3

AI summary

Various methods, systems, and computer program products are disclosed for determining effects of non-network elements on resource utilization. According to various implementations of the invention, a method may include receiving traffic data. The method may include associating the network traffic data with a non-network element, which may operate on the mobile network but are not part of an infrastructure of the mobile network. The method may include determining a first communication procedure used by the one or more non-network elements based on the associated network traffic data. The method may include determining a utilization of network resources by the one or more non-network elements based on the first communication procedure. The network may further include determining a change in the utilization of network resources based on a second communication procedure.