Dynamic Priority Class Assignment for Network Resource Management
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Solution Overview
Problem
Existing communication networks face inefficiencies in managing resources, particularly during peak traffic conditions, where all users cannot be accommodated simultaneously, leading to degraded service quality or inability to connect, especially in emergency situations.
Innovation Solution
Implementing a system that dynamically adjusts priority classes for user equipment based on network traffic thresholds, allowing higher-priority users to access more resources while limiting lower-priority users, ensuring timely service delivery and efficient resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resources are deployed to accommodate all potential users simultaneously, then service availability is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic priority class assignment that adjusts user priority levels based on real-time network conditions. When network traffic exceeds thresholds, the system dynamically reassigns priority classes to ensure critical services maintain access while deprioritizing non-urgent traffic, thereby maintaining service availability without requiring excessive reserved resources.
Solution Approach 2:
The system changes the parameter of priority class assignment based on network traffic conditions. By monitoring network load and adjusting priority class parameters dynamically, the system optimizes resource allocation to match actual demand, improving both service availability and resource utilization efficiency.
2Productivity
If priority-based resource allocation is implemented, then resource allocation efficiency is improved, but service quality for lower-priority users deteriorates
Solution Approach 1:
The patent segments users into different priority classes (first priority class, second priority class, etc.) based on service requirements. This segmentation allows the system to allocate resources efficiently to high-priority users while ensuring that lower-priority users still receive baseline service, thereby maintaining overall service quality while improving resource allocation efficiency.
Solution Approach 2:
The system continuously monitors network conditions and user service quality, providing feedback to the priority class assignment mechanism. When lower-priority users experience degraded service, the system can adjust priority assignments or allocate additional resources to maintain acceptable service quality levels.
3Reliability
If dynamic priority adjustment is implemented during peak traffic, then network overload is prevented, but system complexity increases
Solution Approach 1:
The patent establishes predetermined priority class assignments and traffic threshold levels before network operations begin. These preliminary configurations allow the system to automatically respond to peak traffic conditions using pre-defined rules, preventing network overload without requiring complex real-time decision-making algorithms.
Solution Approach 2:
The system implements self-service through automated priority class reassignment based on monitored network conditions. The network elements autonomously adjust priority assignments when traffic thresholds are exceeded, eliminating the need for manual intervention or complex centralized control mechanisms.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, monitoring a network to identify a first amount of traffic in the network, determining, in accordance with the monitoring, that the first amount of traffic in the network exceeds a threshold, and modifying a priority class for a first communication device responsive to the determining that the first amount of traffic in the network exceeds the threshold, wherein the priority class controls access by the first communication device to a resource of the network. Other embodiments are disclosed.