Mobile Access Gateway Dynamic QoS Allocation
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Solution Overview
Problem
Current mobile network systems lack the ability to dynamically manage Quality of Service (QoS) coefficients for mobile subscribers in a way that prioritizes high-priority users during network saturation, leading to inefficient resource allocation and potential service degradation for non-priority users.
Innovation Solution
The implementation of a dynamic module (MADF) within the mobile Internet access gateway equipment that allocates and recalculates QoS coefficients based on real-time cell occupancy and user priorities, allowing for preemptive priority management by adjusting the QoS of lower-priority users and potentially transferring them to other cells, ensuring guaranteed throughput for high-priority users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If QoS coefficients are allocated based on subscription terms without considering current network occupancy, then service quality for individual users is maintained according to their subscription, but network resource utilization becomes inefficient during saturation
Solution Approach 1:
The system dynamically recalculates QoS coefficients in real-time based on current network occupancy and cell throughput capacity. The gateway device continuously monitors network conditions and adjusts allocated bandwidth and service priorities dynamically, transitioning from static subscription-based allocation to dynamic demand-based allocation that adapts to changing network conditions.
Solution Approach 2:
The system changes the QoS parameter values based on real-time network occupancy measurements. When network saturation is detected, the gateway modifies throughput coefficients, bandwidth allocations, and service priority parameters to optimize overall network utilization while maintaining essential service quality guarantees for high-priority users.
2Productivity
If network throughput is optimized by redistributing QoS coefficients among multiple users, then overall network performance improves, but service quality for individual lower-priority users may degrade
Solution Approach 1:
The system applies different QoS treatment to different user groups based on their priority levels. High-priority users receive guaranteed service quality with protected bandwidth allocations, while lower-priority users have their QoS coefficients adjusted to optimize overall network utilization. This localized quality approach ensures that service degradation is concentrated on non-critical users while critical services maintain their quality standards.
Solution Approach 2:
The system converts the potential harm of network saturation into a benefit by using the excess capacity that would otherwise be wasted during low-utilization periods. By dynamically reallocating resources during saturation events, the system transforms the harmful effect of congestion into an opportunity to optimize overall network performance, while the harmful impact is confined to lower-priority users whose service degradation is acceptable.
3Reliability
If high-priority users are guaranteed instantaneous capacity release during network saturation, then their service reliability is improved, but network complexity increases due to dynamic resource management
Solution Approach 1:
The system performs preliminary classification of users into priority groups and pre-establishes QoS coefficient ranges for each group. When network saturation is detected, the gateway has pre-defined rules and algorithms ready to instantly reallocate resources to high-priority users. This preliminary preparation enables rapid response to saturation events without requiring complex real-time decision-making, thus reducing operational complexity while maintaining high reliability for priority users.
4Ease of operation
If QoS coefficients are statically allocated according to subscription terms, then service delivery is simple and predictable, but adaptability to changing network conditions is reduced
Solution Approach 1:
The system implements continuous feedback loops where the gateway device monitors network occupancy, cell throughput capacity, and actual service delivery metrics. Based on this feedback, the system automatically adjusts QoS coefficients and resource allocations in real-time. This feedback mechanism maintains operational simplicity by automating the adaptation process, eliminating the need for manual reconfiguration while enhancing adaptability to changing network conditions.
Data Source
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AI summary
Access gateway equipment comprising a dynamic allocation module (MADF) and a database (BD-URR) containing the bandwidth occupancy of cells and routers. The MADF processes the subscriber session request (MS) by taking into account the bandwidth occupancy of the cell by other user subscribers engaged in sessions and their QoS coefficient to optimize the total possible bandwidth based on allocated bandwidth and reorganize bandwidth distribution according to the coefficients of the different mobile devices.