Monitoring-Radio Client Steering for Multi-Radio Access Points
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Solution Overview
Problem
Conventional client steering in large public venue (LPV) antenna systems relies on static thresholds like RSSI, failing to account for real-time client performance metrics, leading to suboptimal radio assignment and interference.
Innovation Solution
A monitoring radio coupled to multiple antennas measures real-time client performance metrics across all radios, using likelihood ratio tests or weighted sums to dynamically steer clients to the most suitable radio for improved performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static thresholds like RSSI are used for client steering, then the system is simple to operate, but client performance optimization deteriorates
Solution Approach 1:
The patent transitions from static RSSI thresholds to dynamic client steering decisions by continuously monitoring real-time performance metrics (throughput, latency, packet loss) and adapting steering decisions based on current network conditions and client-specific requirements, making the system responsive to changing conditions
Solution Approach 2:
The system implements feedback mechanisms by monitoring client performance metrics in real-time and using this information to adjust steering decisions, creating a closed-loop control system that continuously optimizes client performance based on actual network conditions
2Reliability
If real-time performance monitoring is implemented across all radios, then client performance optimization improves, but device complexity increases
Solution Approach 1:
The patent implements a centralized controller that serves multiple functions: it monitors performance metrics across all radios, processes steering decisions, and manages client assignments. This multi-functional approach consolidates complexity into a single component rather than requiring each radio to independently perform all monitoring and decision-making functions
Solution Approach 2:
The system introduces a centralized controller as an intermediary between the radios and clients, which centralizes the complexity of real-time performance monitoring and steering decision-making, allowing individual radios to operate more simply while still achieving optimized client performance through coordinated control
3Productivity
If adaptive client steering is implemented, then communication efficiency improves, but calculation complexity increases
Solution Approach 1:
The system performs preliminary calculations and assessments by the centralized controller to determine optimal steering decisions before clients experience performance degradation. By proactively analyzing performance metrics and predicting future performance trends, the system can make steering decisions in advance, avoiding reactive adjustments that would require more complex real-time calculations during high-traffic periods
Data Source
AI summary
In one embodiment, a system for allocating clients between radios of an access point is disclosed. The system includes a first antenna coupled to a first radio, a second antenna coupled to a second radio, and a monitoring radio coupled to the first antenna and second antenna. The system includes computer-readable instructions that cause the system to receive at the monitoring radio, a first client attribute from each of a plurality of first client devices, and a second client attribute from each of a plurality of second client devices, and provide each aforementioned attribute to an optimization function. The system determines, with the optimization function, that one of the first radio and second radio will optimize performance for at least one device of the plurality of first client devices and second client devices and steer the at least one device accordingly.