Wireless Communication Apparatus Dynamic Bandwidth Adjustment
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Solution Overview
Problem
As the number of stations connected to a wireless LAN access point increases, radio interference leads to a decrease in throughput due to channel bonding limitations in wireless local-area network communication.
Innovation Solution
A wireless communication apparatus that includes a wireless communication section, an information acquiring section, an AI processing section, and a bandwidth controller, which uses a learned model trained with congestion, bandwidth, and throughput data to automatically adjust bandwidth and channel settings to optimize throughput by switching between different bandwidths and channels based on congestion levels, thereby minimizing radio interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If channel bonding is used to increase bandwidth, then throughput is improved, but radio interference increases causing throughput to decrease
Solution Approach 1:
The patent implements dynamic bandwidth adjustment by switching between 20 MHz and 40 MHz bandwidth modes based on real-time congestion detection. When congestion is detected, the system dynamically reduces bandwidth to minimize radio interference, and when congestion is low, it increases bandwidth to maximize throughput. This dynamic adaptation resolves the contradiction between maintaining high throughput and avoiding radio interference.
Solution Approach 2:
The system changes the bandwidth parameter (20 MHz vs 40 MHz) based on congestion conditions. By adjusting this key parameter according to environmental conditions, the system optimizes the balance between throughput and radio interference, resolving the technical contradiction between these two opposing factors.
2Adaptability or versatility
If the number of connected stations increases, then network coverage is improved, but radio interference increases causing throughput to decrease
Solution Approach 1:
The system dynamically adjusts bandwidth based on the number of connected stations. When more stations connect, the system detects increased congestion and automatically reduces bandwidth to 20 MHz, preventing throughput degradation from radio interference. This dynamic response allows the network to maintain coverage while adapting to varying load conditions.
Solution Approach 2:
The congestion detection mechanism provides feedback about network conditions, enabling the system to automatically adjust bandwidth settings. This feedback loop allows the system to respond to changes in the number of connected stations, maintaining optimal throughput despite varying network coverage demands.
3Productivity
If channel bonding is used to increase bandwidth, then data transmission capacity is improved, but device complexity increases
Solution Approach 1:
The system performs self-service by automatically detecting congestion and adjusting bandwidth without manual intervention. The access point autonomously monitors network conditions and switches between 20 MHz and 40 MHz modes, eliminating the need for complex manual configuration and reducing operational complexity while maintaining high data transmission capacity.
Solution Approach 2:
The automatic bandwidth adjustment based on congestion feedback simplifies device operation. Instead of requiring complex manual bandwidth management, the system uses simple congestion detection and automatic response, reducing operational complexity while maintaining high data transmission capacity when conditions permit.
Data Source
AI summary
A wireless communication section wirelessly communicates with a communication terminal present in a target space. An information acquiring section acquires a value representing congestion of a target space. A learned model is a model that has been trained using training data including a value representing the congestion of a target space used for learning, a bandwidth, a channel, and throughput. An AI processing section inputs the value representing the congestion of the target space acquired by the information acquiring section to the learned model and acquires a bandwidth and a channel output by the learned model. A bandwidth controller causes the wireless communication section to perform wireless communication using the bandwidth acquired by the AI processing section. The channel controller causes the wireless communication section to perform wireless communication using the channel acquired by the AI processing section.