Access Point Bandwidth Provisioning via Predictive Client Steering
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Solution Overview
Problem
Adaptive Radio Management (ARM) technologies repeatedly adjust channel assignments for clients connecting to wireless networks, inefficiently re-running processes for predictable client activity patterns, such as daily connections, which is wasteful in campus or office networks with fixed user schedules.
Innovation Solution
A system that identifies and tracks client traffic patterns over time, predicting when clients will connect to specific access points and adjusting bandwidth provisioning accordingly, allowing for pre-emptive steering of clients to different access points to optimize network resources based on forecasted events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ARM repeatedly adjusts channel assignments for clients connecting to wireless networks, then network performance is optimized for each connection event, but processing efficiency deteriorates due to redundant re-runs of the same matching process for predictable client activity patterns
Solution Approach 1:
The system performs preliminary actions by identifying and storing client connection patterns (time, access point, signal strength) in advance. When a client connects, the system checks if the connection matches a predicted pattern from historical data, allowing it to skip redundant matching processes for predictable connections while still optimizing for actual connection events.
2Reliability
If ARM performs matching process for each client connection event, then client performance is optimized, but time consumption increases due to repeated execution of identical processes at predictable times
Solution Approach 1:
The system collects and analyzes client connection data in advance to build predictive models of client behavior patterns. This preliminary analysis enables the system to anticipate future connection events and prepare optimal access point assignments beforehand, reducing the time needed during actual connection events.
Solution Approach 2:
The system continuously monitors actual client connections and compares them against predicted patterns. This feedback mechanism allows the system to refine its predictions over time, improving accuracy and reducing the frequency of full matching processes while maintaining client performance optimization.
Data Source
AI summary
The present disclosure discloses a method and network device for provisioning access point bandwidth based on predetermined events. The disclosed system identifies a pattern for one or more devices over a period of time, the pattern indicating that the one or more devices (a) connect to a particular access point at a particular time of day, or (b) are located near the particular access point at the particular time of day. Prior or approximately the particular time, the disclosed system facilitates at least one client device associated with the particular access point to associate with a second and different access point. The disclosed system then provides, by the particular access point to the one or more devices, access to network resources.