Adaptive spatial diagnostics in a wireless network

Abstract

Approaches are described for accurate spatial diagnostics data and channel state information (CSI) recording due to dynamic bandwidth selection and other network changes in a wireless local area network (WLAN). Data transmissions such as channel soundings of a network, including data communications between networked computing devices on a communication channel of the network, can be obtained. The data communications can be associated with channel state parameters that can describe characteristics of the channel through which data is transmitted. The channel state parameters can be monitored overtime to detect a trigger event on the network. A type of trigger event can be determined based on channel state parameters before and after the event. Optimization parameters (e.g., operation parameters, calibration parameters, etc.) or other such information can be determined based on the type of trigger event. The parameters can be applied to an appropriate computing device to dynamically account for changes to channel, bandwidth, etc. of the communication link as a reaction to current channel, traffic, and interference conditions. Thereafter, channel state information (CSI) from the communication link can be extracted independent of changes related to channel state parameters and can be used for spatial diagnosis services of the network, including WLAN diagnosis, home security, health care monitoring, smart home utility control, elder care, and the like.