Wireless Path Control System Using Bandwidth Probability Prediction
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Solution Overview
Problem
Existing path control systems in wireless networks with adaptive modulation struggle to maintain communication quality due to fluctuations in transmission rates, leading to congestion and traffic quality deterioration, especially for real-time traffic like VoIP, and fail to efficiently manage bandwidth resources.
Innovation Solution
A path control system that predicts future modulation modes and bandwidth stability using statistical, historical, and weather-based methods, allowing for proactive path switching to ensure high-reliability bandwidth allocation and alternate path management, thereby maintaining communication quality and optimizing network utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If adaptive modulation is used to increase bandwidth, then transmission rate is improved, but communication quality becomes unstable due to fluctuation in transmission rate
Solution Approach 1:
The system performs preliminary actions by predicting future modulation modes before they occur. The prediction unit uses historical data and statistical models to forecast upcoming modulation changes, allowing the path control system to prepare and switch paths proactively before actual transmission rate fluctuations occur, thereby maintaining communication quality while utilizing adaptive modulation for higher transmission rates
Solution Approach 2:
The system dynamically adapts path selection based on predicted modulation mode changes. Rather than using static routing, the path control unit continuously adjusts traffic paths according to predicted future network conditions, enabling the system to optimize both transmission rate and communication quality by matching dynamic path selection with dynamic modulation changes
2Reliability
If path control is implemented to maintain communication quality, then traffic quality is guaranteed, but network utilization decreases due to congestion
Solution Approach 1:
The system performs preliminary path switching actions based on predicted modulation mode changes. By anticipating future network conditions, the system proactively redirects traffic before congestion occurs, maintaining communication quality while optimizing network utilization through timely load distribution across multiple paths
Solution Approach 2:
The system changes routing parameters dynamically based on predicted modulation modes. The path control unit adjusts traffic engineering parameters such as bandwidth allocation and path selection criteria according to forecasted network conditions, enabling flexible optimization of both communication quality and network utilization
3Reliability
If reactive path switching is used to respond to modulation changes, then communication quality is maintained, but delay jitter occurs
Solution Approach 1:
The system performs path switching in advance based on predicted modulation mode changes. By switching paths proactively before actual transmission rate fluctuations occur, the system eliminates the need for reactive path changes, thereby maintaining communication quality while avoiding the delay jitter that would result from late path switching
Solution Approach 2:
The system dynamically predicts and responds to modulation changes with proactive path switching. The prediction unit continuously monitors and forecasts modulation mode evolution, enabling the path control system to dynamically adjust paths in advance, thus maintaining low delay jitter while ensuring communication quality
Data Source
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AI summary
A path control system according to the present invention includes: a network including a communication device that communicates via a wireless link using adaptive modulation; and a path control device (201) that obtains bandwidth probability that corresponds to a bandwidth and that indicates a stability of the bandwidth with respect to the wireless link, preferentially sets a communication path whose bandwidth probability is higher than a predetermined threshold to the network, and prepares an alternate path for a communication path whose bandwidth probability is lower than the predetermined threshold.