Dynamic Mobile Network Traffic Control for Cell-Site Congestion
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Solution Overview
Problem
Existing methods for controlling data traffic in mobile networks lack the ability to dynamically manage high-load conditions at the cell-site level and mobile-terminal level, leading to inefficient resource utilization and potential service quality degradation.
Innovation Solution
A method and system that monitor cell-site-specific volumes of data traffic to detect high-load sites, perform mobile-terminal-specific analysis to select terminals for traffic limitation, and temporarily limit data traffic, using a mediator system for real-time monitoring and activation to optimize resource allocation and maintain service quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traffic limitation is applied to control high-load cell sites, then network congestion is prevented and resource utilization is optimized, but service quality may deteriorate for affected users
Solution Approach 1:
The patent applies traffic limitation selectively at the cell-site level rather than network-wide. The system identifies specific high-load cell sites and applies limitation measures only to those locations, allowing users in non-high-load areas to maintain full service quality while preventing congestion in overloaded areas. This localized approach resolves the contradiction by optimizing resource utilization where needed without degrading service quality elsewhere.
Solution Approach 2:
The system dynamically changes traffic parameters (such as data rate limits, bandwidth allocation, or QoS parameters) based on real-time load conditions. When a cell site is detected as high-load, the system adjusts relevant parameters for that specific cell site to control traffic volume, while maintaining normal parameters for other cell sites. This dynamic parameter adjustment allows the system to prevent congestion while preserving service quality for users in normal conditions.
2Productivity
If dynamic control is implemented during data sessions, then resource optimization is improved and more service requests are fulfilled, but system complexity increases
Solution Approach 1:
The patent segments the control function into distinct modular components: a monitoring component that detects high-load cell sites, an analysis component that identifies specific terminals requiring limitation, and an activation component that applies traffic limitation. This segmentation allows each component to perform its specific function independently, making the overall dynamic control system more manageable and less complex while enabling real-time resource optimization during active data sessions.
Solution Approach 2:
The system introduces an intermediary control mechanism that operates between the network core and user terminals. This intermediary layer monitors traffic conditions, makes control decisions, and implements limitation measures without requiring direct modification of terminal devices or core network infrastructure. The intermediary approach simplifies the overall system architecture by centralizing the complex control logic in a dedicated component rather than distributing complexity across multiple system elements.
3Ease of operation
If cell-site-specific monitoring is performed, then targeted traffic control is achieved and non-high-load sites maintain full service, but measurement and detection complexity increases
Solution Approach 1:
The patent implements a universal monitoring mechanism that can detect and measure traffic conditions across multiple cell sites using a common set of procedures and parameters. The same monitoring component and measurement methods are applied uniformly to all cell sites, allowing the system to identify high-load conditions regardless of which specific cell is affected. This universal approach simplifies detection and measurement by avoiding the need for site-specific customizations while still enabling targeted control actions.
Data Source
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AI summary
Document discloses methods, systems and computer program products for dynamic mobile network traffic control. In an embodiment of the method comprises controlling data traffic (100) between a plurality of mobile terminals (102A, 102B, 104A, 104B) and a mobile network comprising a plurality of cell sites (110A, 110B, 110C). The method comprises monitoring cell-site-specific volumes of data traffic (100) in order to detect high-load cell sites (110A, 110B) among the plurality of cell sites. For each of the detected high-load cell sites, a mobile-terminal-specific analysis of data traffic (100) is performed in order to select at least one of the mobile terminals (102A, 102B, 104A, 104B) for traffic limitation. Thereafter, the data traffic (100) between the mobile network and the selected at least one mobile terminal (104A, 104B) is temporarily limited.