The Capacity Service Level Expectation (SLE) is used to measure the post-connection experience of wireless clients. A primary sub-classifier for the Capacity SLE is "Coverage." The Coverage metric specifically identifies user-minutes where the client experience is poor due to either low signal strength (RSSI) or high Wi-Fi interference. The Mist AI engine analyzes RF conditions, and when it detects excessive co-channel or adjacent-channel interference impacting a client's performance, it attributes this failure to the Coverage sub-classifier, thus lowering the overall Capacity SLE score.

A. AP Uptime: This SLE measures the availability and operational status of the access point hardware and software, not the quality of the RF environment.

B. Roaming: This SLE measures the time and success rate for a client to move its connection from one AP to another, not the impact of RF interference.

C. Successful Connects: This SLE focuses on the initial phases of joining the network, such as association and authentication, not on post-connection performance issues like interference.

1. Juniper Networks Documentation, Mist, "Service Levels". In the section describing the Capacity SLE, it states: "The classifiers for a capacity failure are Coverage, Congestion, and AP Health." The documentation further clarifies that Coverage issues are determined by "low RSSI or high interference." This directly links the Capacity SLE to the detection of Wi-Fi interference.

2. Juniper Networks Documentation, Mist, "Monitor with Service Levels". This document details the SLE framework. Under the "Capacity" section, it explains that this SLE measures the network's ability to deliver data effectively post-connection, with failures classified into categories including "Coverage," which encompasses interference problems.