Wireless Device Data Collection Profiles for Network Monitoring
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Solution Overview
Problem
Current network monitoring solutions in wireless communications networks are inadequate in providing a holistic view of network performance, failing to detect complex issues arising from interactions between network elements, and lack flexibility to adapt to changing conditions, leading to inefficient troubleshooting and resource misallocation.
Innovation Solution
A system and method utilizing distributed wireless devices to collect and manage data across multiple network layers, dynamically generating data collection profiles to capture real-world usage and performance data, allowing for conditional transmission of data to a reporting system, thereby enabling accurate association and analysis of performance issues across network elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distributed wireless devices are used to collect network performance data, then measurement precision and comprehensiveness of network monitoring is improved, but device complexity and data management overhead increase
Solution Approach 1:
The patent segments the network monitoring function by distributing data collection capabilities across multiple wireless devices (mobile phones, PDAs) rather than using a centralized system. Each device independently collects and reports network performance data, dividing the monitoring task into numerous small units that collectively provide comprehensive coverage.
Solution Approach 2:
The patent makes ordinary wireless devices multi-functional by enabling them to perform both their primary communication functions and network monitoring functions simultaneously. The same wireless device that users employ for calls and messaging also collects network performance data, eliminating the need for dedicated monitoring hardware.
2Adaptability or versatility
If dynamic data collection profiles are generated to adapt to changing network conditions, then adaptability of monitoring system is improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by pre-configuring data collection profiles with predetermined parameters, measurement intervals, and reporting thresholds. These profiles are prepared in advance and can be quickly activated or modified without requiring complex real-time processing, thus reducing latency while maintaining adaptability.
Solution Approach 2:
The patent implements dynamics by allowing data collection profiles to be dynamically generated, modified, and deployed in response to changing network conditions. The system can adjust monitoring parameters, collect different types of data, and modify reporting frequencies based on current network state without requiring complete reconfiguration.
3Reliability
If comprehensive network data is collected from multiple layers, then reliability of network monitoring is improved, but quantity of data and storage requirements increase
Solution Approach 1:
The patent extracts only the essential and relevant network performance parameters from the comprehensive data collected across multiple layers. Rather than storing all raw data, the system identifies and extracts key performance indicators that are most indicative of network health and reliability, reducing data volume while maintaining monitoring effectiveness.
Solution Approach 2:
The patent applies partial action by selectively collecting data from specific network layers and parameters based on current needs, rather than continuously monitoring everything. The system can focus on particular layers (physical, network, transport, application) depending on the specific monitoring objective, reducing overall data quantity while maintaining reliability for targeted assessments.
Data Source
AI summary
Systems and methods for defining and using a data collection profile in connection with a telecommunications network that includes multiple devices. Initially, a query is defined that concerns one or more aspects of the communications network. The query is then used as a basis for building a data collection profile. Next, a set of target devices is selected based upon criteria relating to the query. The data collection profile is then provided to the target devices which collect data in accordance with the data collection profile. Finally, the collected data is transmitted to a service platform for further processing.


