Virtual network assistant with location input

A network management system (NMS) that manages a plurality of access point (AP) devices in a wireless network, the NMS comprising:

• memory;
• and
• one or more processors coupled to the memory and configured to:
• receive, from the plurality of AP devices, network data collected by the plurality of AP devices or a plurality of client devices that is associated with the wireless network,
• generate a time series of parameter vectors, each parameter vector of the time series of parameter vectors comprising service level expectation (SLE) metrics determined from the network data of a corresponding client device of the plurality of client devices, wherein each parameter vector is associated with location data indicating a corresponding location of the corresponding client device,
• determine, based on the time series of parameter vectors, a set of impacted client devices from the plurality of client devices, wherein the set of impacted client devices are experiencing a degradation in the SLE metrics, and wherein at least one impacted client device of the set of impacted client devices is associated with an AP device of the plurality of AP devices,
• determine, based on the location data indicating locations of the set of impacted client devices that are experiencing the degradation in the SLE metrics, whether any impacted client device in the set of impacted client devices is in close proximity relative to another impacted client device in the set of impacted client devices, and
• based on determining that there are impacted client devices in the set of impacted client devices within close proximity of each other, determine that the AP device associated with the at least one impacted client device is not a root cause for the degradation in the SLE metrics associated with the set of impacted client devices.

A method comprising:

• receiving, from a plurality of AP devices, network data collected by the plurality of AP devices of a wireless network or a plurality of client devices associated with the wireless network;
• determining, based on the network data, service level expectation (SLE) metrics of a corresponding client device of the plurality of client devices;
• determining location data for each client device of the plurality of client devices, wherein the location data indicates a location associated with each client device of the plurality of client devices;
• generating a time series of parameter vectors, each parameter vector of the time series of parameter vectors comprising SLE metrics determined from the network data of the corresponding client device of the plurality of client devices, wherein each parameter vector is associated with the location data indicating a corresponding location of the corresponding client device;
• determining, based on the time series of parameter vectors, a set of impacted client devices from the plurality of client devices, wherein the set of impacted client devices are experiencing a degradation in the SLE metrics, and wherein at least one impacted client device of the set of impacted client devices is associated with an AP device of the plurality of AP devices;
• determining, based on the location data indicating locations of the set of impacted client devices that are experiencing the degradation in the SLE metrics, whether any impacted client device in the set of impacted client devices is in close proximity relative to another impacted client device in the set of impacted client devices;
• and
• based on determining that there are impacted client devices in the set of impacted client devices within close proximity of each other, determining that the AP device associated with the at least one impacted client device is not a root cause for the degradation in the SLE metrics associated with the set of impacted client devices.