EIRP Calculation for Wireless Roaming Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless networks, clients experiencing sticky behavior due to varying RSSI levels and RF interference lead to low data-rate connections and delays, while existing coverage-driven designs fail to optimize airtime usage, resulting in decreased throughput and user experience.
Innovation Solution
Implementing a control EIRP coverage design that calculates the RSSI level and EIRP of access points to balance high MCS zones and minimize sticky zones, ensuring clients connect to the strongest signal while roaming, thereby optimizing airtime use and reducing delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If coverage-driven design is used to maximize RF coverage area, then area of coverage is improved, but airtime usage efficiency deteriorates due to clients staying connected to weak signals
Solution Approach 1:
The patent changes the EIRP parameter dynamically based on client association status and RSSI conditions. By adjusting EIRP from higher to lower values when clients are properly connected, and from lower to higher values when clients are disconnected or in sticky zones, the system optimizes both coverage area and airtime efficiency simultaneously
2Speed
If clients connect to access points with stronger signals, then data rate is improved, but roaming behavior deteriorates when clients experience sticky behavior despite varying RSSI levels
Solution Approach 1:
The patent implements feedback mechanisms where the access point continuously monitors client RSSI levels and association status. Based on this feedback, the system adjusts EIRP dynamically and triggers roaming events when clients are in sticky zones, ensuring reliable roaming behavior while maintaining high data rates through optimal signal strength
3Productivity
If EIRP is increased to maintain high data rates, then throughput is improved, but airtime consumption deteriorates due to extended coverage creating more connected clients
Solution Approach 1:
The patent applies dynamics by making EIRP adjustable rather than fixed. The system transitions EIRP between different operational states (higher and lower values) based on real-time network conditions, client association status, and RSSI measurements. This dynamic adjustment allows the system to maintain high throughput when needed while reducing airtime consumption when clients are properly connected and not experiencing sticky behavior
Data Source
Figure 1
Figure 2~3
Figure 4A~4B
AI summary
In some examples, a method can include calculating, when predetermined conditions are satisfied, a Received Signal Strength Indicator (RSSI) level for a reference access point in a network. The method can include calculating an Equivalent Isotropic Radiated Power (EIRP) of the reference access point such that a wireless client measures the selected RSSI level when the wireless client is within range of a first immediate access point. Calculating the EIRP is based on a measured path-loss between the reference access point and the first immediate access point. The predetermined conditions can be satisfied when: (1) the wireless client is within a high MCS zone of an access point within the network and (2) the wireless client has roamed to the first immediate access point but has not come within range of a second immediate access point.