Dynamic Active Scan Configuration for Wireless Communication Channels
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current active scanning methods in wireless communication systems use static scan parameters, which are inefficient and disadvantageous as they do not adapt to varying environments, leading to poor user experience, increased power consumption, and prolonged scan times due to collisions and missed probe responses.
Innovation Solution
Implementing a dynamic adjustment of active scan parameters based on real-time environment data, using machine learning methods to classify environments and optimize dwell times, probe request transmission rates, and number of requests, allowing for adaptive scanning configurations tailored to specific wireless communication channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static scan parameters are used, then the scanning process is simple to implement, but the scan time is prolonged and power consumption increases due to collisions and missed probe responses
Solution Approach 1:
The patent applies dynamics by transitioning from static scan parameters to dynamic parameters that adapt in real-time based on environmental conditions. The system continuously monitors channel conditions, collision rates, and probe response success rates, then adjusts scan parameters (such as dwell time, probe request intervals, and transmission power) accordingly. This dynamic adaptation resolves the contradiction by maintaining simple implementation through automated adjustment while significantly reducing scan time through optimized parameter selection.
Solution Approach 2:
The patent implements feedback mechanisms where the scanning system monitors its own performance metrics (collision detection, probe response reception rates, channel conditions) and uses this feedback to adjust scan parameters. The system maintains a history of scan outcomes and uses this information to iteratively improve scanning efficiency, resolving the time loss issue while keeping the system relatively simple through automated closed-loop control.
2Ease of operation
If static scan parameters are used, then the system is easy to operate, but power consumption increases due to prolonged scan duration
Solution Approach 1:
The system dynamically adjusts scan parameters based on real-time environmental assessment, allowing the wireless station to adapt its scanning behavior to current conditions. This reduces unnecessary prolonged scanning and associated power consumption while maintaining ease of operation through automated parameter management. The system evaluates channel conditions, AP density, and historical scan results to optimize power usage without requiring user intervention.
Solution Approach 2:
The patent changes operational parameters (dwell time, probe request rate, transmission power levels) based on detected environmental conditions. By dynamically modifying these parameters rather than using fixed values, the system reduces power consumption during scanning operations while maintaining ease of operation through automated adaptation to varying wireless environments.
3Reliability
If longer dwell times are used to capture probe responses, then the reliability of probe response reception improves, but the scan time increases
Solution Approach 1:
The system dynamically determines optimal dwell times based on real-time channel conditions, detected AP density, and historical reception success rates. Rather than using fixed long dwell times, the system adapts the dwell duration to match current environmental requirements, maintaining reliable probe response reception while minimizing unnecessary time expenditure in low-density or stable channels.
Solution Approach 2:
The patent implements parameter changes by adjusting dwell time based on environmental assessment. The system monitors probe response success rates and channel conditions, then modifies dwell time parameters accordingly - using longer dwell times only when necessary for reliable reception in challenging conditions, and shorter dwell times when channel conditions are favorable, thus resolving the reliability-time contradiction.
4Reliability
If multiple probe requests are transmitted to overcome collisions, then the probability of successful response reception improves, but the number of collisions and scan complexity increases
Solution Approach 1:
The system dynamically adjusts the number and timing of probe request transmissions based on detected collision rates and channel conditions. Rather than always transmitting multiple requests, the system adapts its transmission strategy to current environmental conditions, maintaining reliable response reception while reducing unnecessary retransmissions and associated complexity through automated parameter management.
Solution Approach 2:
The patent employs feedback mechanisms where the system monitors collision detection outcomes and probe response success rates, then uses this information to adjust the number of probe requests transmitted. This closed-loop approach maintains reliable response reception by transmitting multiple requests only when collisions are detected, while reducing transmission complexity through automated decision-making based on real-time performance feedback.
Data Source
AI summary
For example, an apparatus may include logic and circuitry configured to cause a wireless communication device to maintain active scan configuration information defining a plurality of active scan configurations corresponding to a respective plurality of predefined environment types; to classify a wireless communication channel as a selected environment type from the plurality of predefined environment types based on scan results of at least one first active scan over the wireless communication channel; and to perform at least one second active scan over the wireless communication channel according to a selected active scan configuration corresponding to the selected environment type.