Dynamic Admission Control for IoT Congestion
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Solution Overview
Problem
Current radio access networks lack an efficient method to manage a large number of end devices connecting simultaneously, leading to unreliable admission control and priority management, especially when the network is overwhelmed, such as during a scenario where numerous Category M1 or Narrowband Internet of Things devices attempt to connect to a limited base station.
Innovation Solution
An admission and congestion control service is implemented, where a server device configures admission control information on end devices, using AI/ML to dynamically manage priority based on congestion levels, geo-location, and other criteria, allowing for dynamic enabling or disabling of admission control and updating of admission control information to optimize network access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional admission control methods are used, then network resources are allocated based on fixed rules, but the system cannot dynamically adapt to changing congestion levels and device priorities
Solution Approach 1:
The patent implements dynamic admission control by continuously monitoring network congestion levels and adjusting access permissions in real-time. The system transitions from static fixed rules to dynamic decision-making where admission control parameters are updated based on current network conditions, enabling the system to adapt to changing congestion levels while managing device complexity through automated adjustments.
Solution Approach 2:
The system incorporates feedback mechanisms where congestion level information is collected from the network and used to modify admission control decisions. This closed-loop approach allows the system to learn from network conditions and adjust device access permissions accordingly, improving adaptability while the automated feedback process helps manage system complexity.
2Reliability
If all end devices are allowed to connect simultaneously, then network accessibility is maximized, but network congestion increases and service quality deteriorates
Solution Approach 1:
The patent applies local quality by differentiating treatment based on device type, priority level, and specific network conditions. Instead of uniform access control, the system implements localized admission control measures where different device categories receive different access permissions based on their priority levels and the current state of network resources, ensuring reliable service quality for critical devices while managing overall throughput.
Solution Approach 2:
The system dynamically adjusts admission control policies based on real-time congestion levels. When network congestion is high, the system selectively bars lower-priority devices while maintaining access for high-priority devices. When congestion decreases, the system expands access to include lower-priority devices, thereby optimizing both service quality and throughput through dynamic adaptation.
3Ease of operation
If fixed access class barring is implemented, then device complexity is reduced, but the system cannot prioritize specific device types based on current network conditions
Solution Approach 1:
The system transforms fixed access class barring into a dynamic mechanism where access permissions are continuously adjusted based on network congestion levels and device priority configurations. The server-side system automatically modifies admission control parameters without requiring complex local processing at each device, maintaining operational simplicity while achieving flexible priority management through centralized dynamic control.
Solution Approach 2:
The patent introduces a server-side system as an intermediary that handles the complexity of priority management and admission control decisions. This intermediary component receives device information, evaluates priority levels, and issues appropriate access permissions, thereby simplifying the operation at the device level while providing sophisticated priority management capabilities through the server's intelligent processing.
Data Source
AI summary
A method, a device, and a non-transitory storage medium are described in which an admission and congestion control service is provided. The service may dynamically reconfigure admission control information of an end device. The admission control information may include one or multiple types of access class values of the end device or an application of the end device.