Uplink Traffic Event Detection for Real-Time Geographic Identification
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Solution Overview
Problem
Existing systems fail to efficiently detect and characterize various types of events in real-time using uplink network traffic in telecommunications networks, limiting the ability to provide targeted services to event participants and responders.
Innovation Solution
An event detection system in a telecommunications network analyzes uplink network traffic characteristics to identify geographic areas with event-related activity, generating event indicators that can be used to provide event-based services, such as interactive maps and content feeds, by leveraging machine learning and real-time traffic analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time analysis of uplink network traffic is implemented to detect events, then event detection capability is improved, but system complexity and computational resources increase
Solution Approach 1:
The system segments the network traffic analysis by dividing uplink traffic into discrete measurable characteristics (data volume, packet size, frequency, timing patterns) that can be independently analyzed. This segmentation allows the complex task of event detection to be broken down into manageable analytical components, improving detection capability without overwhelming system complexity
Solution Approach 2:
The patent introduces an intermediary event detection system that acts as a mediator between raw network traffic and event identification. This intermediary layer processes and interprets traffic characteristics, transforming raw data into meaningful event indicators while managing the complexity burden and preventing it from propagating through the entire system
2Measurement precision
If comprehensive uplink traffic characteristics are analyzed to characterize diverse events, then event characterization accuracy is improved, but data processing time and computational load increase
Solution Approach 1:
The system applies partial action by selectively analyzing specific traffic characteristics that are most indicative of different event types. Rather than processing all possible traffic data uniformly, the system focuses on relevant features (such as sudden data volume increases for crowd gatherings, or specific timing patterns for coordinated events), achieving accurate characterization with reduced processing time
Solution Approach 2:
The patent utilizes parameter changes in traffic characteristics as event indicators. By monitoring changes in key parameters (data volume, frequency, timing) rather than analyzing complete traffic datasets, the system achieves accurate event characterization while minimizing computational load and processing time
3Ease of operation
If event-based services are provided to enhance user experience, then service quality is improved, but network infrastructure requirements and operational complexity increase
Solution Approach 1:
The event detection system is designed with universality to provide multiple event-based services (interactive maps, content feeds, emergency response coordination) through a single unified platform. This multi-functionality allows diverse services to be delivered without proportionally increasing operational complexity, as the core detection mechanism serves all service types
Data Source
AI summary
An event detection system in a telecommunications network is coupled to base stations to receive characteristics of uplink network traffic transmitted to the base stations. The event detection system identifies a geographic area in which the one or more characteristics of a subset of the uplink network traffic, generated by electronic devices located within the identified geographic area, satisfy a criterion. An event indicator is generated based on the subset of uplink network traffic. The event indicator can then be used by the event detection system, another component of the telecommunications network, or an external system to provide an event-based service that leverages information about events to provide information or content to people participating in or nearby to an event.