Bluetooth HID Activity Prediction for Wireless Coexistence
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Solution Overview
Problem
Conventional wireless communication systems face challenges in optimizing throughput when coexisting with Bluetooth HID devices, as the constant sniff intervals and high priority requests can interfere with other wireless interfaces like WiFi, leading to inefficient resource allocation and potential degradation of user experience.
Innovation Solution
A method and system for predicting Bluetooth HID activity, allowing the host device to dynamically adjust sniff intervals and priority designations based on monitored HID device usage, thereby optimizing throughput for other wireless interfaces by minimizing unnecessary high-priority requests and improving coexistence with Bluetooth and WiFi networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If constant sniff intervals and high priority requests are used for Bluetooth HID communication, then HID device responsiveness is improved, but throughput of other wireless interfaces (WiFi) deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of Bluetooth sniff intervals based on predicted HID activity patterns. Instead of using constant high-priority sniff intervals, the system adapts the interval length according to predicted usage, thereby reducing unnecessary Bluetooth transmissions during low-activity periods and improving WiFi throughput during high-activity periods, while maintaining HID responsiveness when needed.
Solution Approach 2:
The system changes the parameter of sniff interval duration based on predicted HID activity. By monitoring usage patterns and adjusting the sniff interval parameter dynamically, the system optimizes the trade-off between HID responsiveness and WiFi throughput, using shorter intervals when HID activity is predicted and longer intervals when activity is low.
2Reliability
If high priority requests are sent frequently to ensure HID device performance, then HID communication reliability is improved, but resource allocation efficiency deteriorates
Solution Approach 1:
The system performs preliminary analysis of HID usage patterns to predict future activity. By anticipating when HID communication will be needed, the system can proactively adjust sniff intervals and priority levels in advance, ensuring reliable HID communication when needed while avoiding unnecessary high-priority requests during low-activity periods, thus improving resource allocation efficiency.
Solution Approach 2:
The patent implements a feedback mechanism that monitors actual HID usage patterns and uses this information to adjust sniff interval and priority decisions. The system continuously learns from observed usage behavior and refines its predictions, optimizing the balance between HID communication reliability and wireless resource efficiency based on real-world performance data.
Data Source
AI summary
A host device may be enabled to support a plurality of wireless interfaces, wherein some of these interfaces may be utilized to support human interface device (HID) based communication. The host device may be enabled to monitor activity of HID devices based on communications via HID capable wireless interfaces, may predict future use of the HID devices based on the monitoring, and may manage sniff communication that is utilized to track and/or detect activities in the HID devices. The management of the sniff communication may comprise adjusting characteristics of the sniff communication to enable improving throughput of other wireless interfaces available via the host device that may be affected by the sniff communication. The adjustment of the characteristics of sniff communication may comprise adjusting, statically and/or dynamically, length of sniff intervals and/or designating of sniff packets as high priority requests.