Wireless Node Traffic Management Upon Service Entry
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Solution Overview
Problem
Wireless communication networks face service outages due to node crashes, which can recur when the node reenters service under heavy user traffic, disrupting end-to-end paths and overwhelming resources like DSP and CPU.
Innovation Solution
Nodes in the network monitor their resources and initially limit capacity to 10% or allow a specific number of user devices, gradually increasing access after a predetermined time, using techniques like tokens and counters to manage traffic and prevent overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the node reenters service under heavy user traffic demand, then service availability is improved, but the node may crash due to resource overload
Solution Approach 1:
The node performs preliminary actions by monitoring resource usage trends before reaching critical thresholds and proactively implementing traffic management measures. The node identifies when resource consumption is approaching dangerous levels and preemptively activates traffic management functions to prevent crashes before they occur.
Solution Approach 2:
The patent introduces an intermediary traffic management function that sits between the user traffic demand and the node resources. This intermediary monitors traffic patterns, resource consumption, and node health, acting as a buffer that regulates the flow of traffic to prevent resource overload while maintaining service availability.
2Object-affected harmful factors
If the node limits capacity to 10% or specific number of user devices initially, then resource overload is prevented, but service productivity is reduced
Solution Approach 1:
The node implements dynamic capacity management where the service capacity is not fixed but adapts over time. Initially, the node limits capacity to 10% or a specific number of user devices to prevent resource overload. As the node stabilizes and resources become available, the capacity is gradually increased, allowing the system to be both protective and productive at different stages.
Solution Approach 2:
The traffic management function operates periodically, cycling through phases of monitoring, limiting, and expanding capacity. The node periodically assesses resource availability and traffic demand, adjusting capacity limits in a rhythmic pattern that balances protection against overload with the need to maintain productive service levels.
Data Source
AI summary
Nodes within a wireless communication network monitor themselves as they come back online after crashing, i.e., go back into service, or when they initially go into service. When the node is activated for service within the wireless communication network, the node has a predefined capacity of resources available to user devices at the node. Thus, when a node goes into service, the node may initially limit itself to utilizing only a portion of its capacity of resources. In other embodiments, the node may limit the user devices allowed to access the node to a particular number of user devices. After a predetermined amount of time, or once the node is stable, the node may allow for more user devices to access the node.