Wireless Network Bandwidth Prediction and Adjustment
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Solution Overview
Problem
WiFi networks often experience congestion due to increasing numbers and types of wireless devices, leading to performance issues such as slowed connections, device disconnections, and reduced bandwidth, especially in environments with varying device locations and activities.
Innovation Solution
A method and device that monitor wireless device activities to predict potential issues by developing trends, allowing for proactive actions to avoid or mitigate congestion by adjusting network parameters, prioritizing devices, and rerouting connections to maintain optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of wireless devices and network activities increase, then network coverage and device connectivity improve, but network congestion and performance degradation occur
Solution Approach 1:
The system performs preliminary actions by monitoring current network activities and predicting future congestion conditions before they actually occur. Trend analysis of device connection patterns, bandwidth usage, and activity types enables the system to anticipate congestion and take preventive measures such as adjusting bandwidth allocation or routing traffic differently, thereby maintaining network performance despite increasing device quantities.
2Productivity
If bandwidth is allocated to handle increasing device activities, then network capacity improves, but congestion issues arise during peak usage periods
Solution Approach 1:
The system implements dynamic bandwidth allocation that adjusts network resources in real-time based on predicted congestion conditions. By continuously monitoring network activities and device trends, the system dynamically modifies bandwidth allocation to match actual and anticipated demand patterns, ensuring sufficient capacity during peak usage while preventing congestion through proactive resource adjustment.
Solution Approach 2:
The system changes network parameters such as bandwidth allocation, transmission power, and routing configurations based on predicted congestion conditions. By analyzing trends in device activities and connection patterns, the system adjusts these parameters proactively to maintain optimal network performance and prevent congestion before it occurs.
3Reliability
If network monitoring and prediction mechanisms are implemented, then proactive congestion management is achieved, but system complexity increases
Solution Approach 1:
The network management system performs self-service by automatically monitoring its own activities, analyzing trends, and making adjustments without requiring external intervention. The system autonomously tracks device connection patterns, bandwidth usage, and activity types, then uses this information to predict congestion and implement corrective actions, reducing the need for complex external management infrastructure.
Solution Approach 2:
The system implements feedback mechanisms where network monitoring data continuously flows back to the management system, which then adjusts bandwidth allocation and routing decisions accordingly. This closed-loop feedback enables proactive congestion management by using real-time and historical network data to inform future resource allocation decisions, maintaining reliability without requiring overly complex external control systems.
Data Source
AI summary
Monitoring activities of wireless devices connected to a wireless network (e.g., when connected and to what access points, what activities, bandwidth utilized). Processing monitored activities to develop trends for wireless devices (e.g., likely time for connecting to which access points, likely activities performed, likely bandwidth usage, likely movement patterns). Predicting potential issues with the wireless network based on current network activities and predicted activities based on the developed trends. The potential issues may include congestion of an access point. Taking actions, including modifying activities of one or more wireless devices, to avoid the potential issues, reduce impact of the potential issues and/or prevent any performance degradation to high priority wireless devices. The activity modifications may include, for example, restricting/changing access point connectivity, limiting/modifying functions performed, modifying bit rate, changing frequency band, and delaying/restricting activities. Parameters associated with wireless devices may be identified, including identifying high priority wireless devices.