Wireless Network Congestion Management via Dynamic Trend Projection
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Solution Overview
Problem
Wireless networks, such as LTE networks, face congestion issues due to increasing traffic demands, leading to reduced resource efficiency and higher costs when designed for worst-case scenarios, which may not frequently occur.
Innovation Solution
A congestion management method that dynamically projects trends in network elements using functionality metrics to detect potential congestion and redirect traffic to secondary VLANs, optimizing resource utilization and maintaining service quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the LTE network is designed for a worst case scenario to handle congestion, then the reliability of the network is improved, but the efficiency of network resource utilization deteriorates and costs increase
Solution Approach 1:
The system performs preliminary actions by dynamically projecting network traffic trends using functionality metrics before actual congestion occurs. The network element monitors metrics such as packet delay, throughput, and latency to predict future congestion conditions, allowing proactive traffic redirection to secondary VLANs before the congestion impacts service quality.
Solution Approach 2:
The patent implements dynamics by transitioning from static worst-case network design to dynamic congestion management. The system continuously adapts its behavior based on real-time network conditions, dynamically adjusting traffic routing decisions between primary and secondary VLANs based on projected congestion trends rather than fixed design parameters.
2Productivity
If the LTE network uses dynamic trend projection and adaptive congestion control, then resource efficiency is improved, but the device complexity increases
Solution Approach 1:
The system employs feedback mechanisms where network elements continuously monitor functionality metrics (packet delay, throughput, latency) and use this information to adjust traffic routing decisions. The projected trends from monitored metrics create a closed-loop control system that automatically optimizes resource allocation based on actual network behavior patterns.
Solution Approach 2:
The patent introduces functionality metrics as intermediary elements that bridge the gap between raw network data and congestion control decisions. These metrics serve as mediators that translate complex network behavior into actionable predictions, simplifying the decision-making process for traffic management while enabling efficient resource utilization.
Data Source
AI summary
A method and apparatus for providing a congestion management of a wireless communication network are disclosed. For example, the method projects dynamically a trend for a network element of the wireless communication network, using a functionality metric associated with the network element of the wireless communication network, and determines if there is a potential congestion in accordance with the trend. The method then provides a notification of the potential congestion, if there is a potential congestion for the network element of the wireless communication network.