Congestion-aware Traffic Management via Cell Load Mapping
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Solution Overview
Problem
Current cellular network traffic management systems face challenges in efficiently handling congestion, particularly with multimedia content like video, which can lead to network overload, affecting user experience and network performance.
Innovation Solution
A system that generates a mapping record of static cell data and user equipment, obtains cell load data, and applies congestion shaping procedures to identified congested cells, adjusting video content flow rates to manage traffic effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If video traffic is actively managed by shaping at a certain throughput rate, then network overload is reduced, but user experience and network performance deteriorate
Solution Approach 1:
The patent applies different traffic shaping strategies to different cells based on their individual congestion states. Instead of uniform shaping across the network, the system identifies congested cells through load data analysis and applies shaping procedures selectively to those specific cells, allowing non-congested cells to maintain optimal performance
Solution Approach 2:
The system dynamically adjusts traffic shaping based on real-time or near-real-time cell load data. The congestion shaping procedure is activated or deactivated for specific cells depending on current congestion conditions, and the mapping records are updated periodically to reflect changing network states, making the system adaptive rather than static
2Object-affected harmful factors
If congestion shaping is applied to all cells, then network overload is reduced, but device complexity and operational overhead increase
Solution Approach 1:
The network is segmented into individual cells with distinct congestion states. The patent creates a mapping record that divides cells into congested and non-congested categories, allowing independent traffic management decisions for each cell rather than applying uniform shaping across the entire network
Solution Approach 2:
The system uses automated cell load data collection and analysis to identify congested cells without requiring manual intervention. The congestion shaping procedure is automatically applied based on objective load thresholds, reducing operational complexity while maintaining effective overload management
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a method in which a processing system generates a mapping record including static mapping data for cells in a communication network and user equipment devices associated with those cells. The method also includes obtaining cell load data representing video content distributed to the cells from the processing system; determining, based on the cell load data, that a cell is congested; identifying user equipment devices associated with the congested cell; and performing, for each of the user equipment devices associated with the congested cell, a congestion shaping (CS) procedure that includes a shaping level for a video content flow associated with that user equipment device. Other embodiments are disclosed.