Adaptive spatial diagnostics in a wireless network

Patent metadata

Field	Value
Publication number	US-11283505-B2
Application number	US-202016857052-A
Country	US
Kind code	B2
Filing date	Apr 23, 2020
Priority date	Mar 9, 2018
Publication date	Mar 22, 2022
Grant date	Mar 22, 2022

Abstract

A method may include obtaining spatial diagnostics data determined independent of changes to channel state parameters associated with a communication channel; and providing a service associated with a location at which the network exists using the spatial diagnostics data. Another method may include obtaining channel state parameters associated with a communication channel, the channel state parameters changing over time; determining spatial diagnostics data independent of changes to the channel state parameters; and providing a service associated with a location at which the network exists using the spatial diagnostics data. Another method may include monitoring activity at a location based on spatial diagnostics data associated with a communication channel of a network with a WAP; and in response to detecting an unrecognized device at the location, calibrating the WAP to nullify parameters of the communication channel from the unrecognized device without disrupting communication with authorized devices.

First claim

What is claimed is:

1. A computer-implemented method, comprising:
obtaining spatial diagnostics data determined independent of changes to channel state parameters associated with a communication channel between computing devices in a network; and
providing a service associated with a location at which the network exists using the spatial diagnostics data.

2. The computer-implemented method of claim 1 , wherein providing the service associated with the location at which the network exists using the spatial diagnostics data comprises performing at least one of motion detection, proximity detection, or localization within the network.

3. The computer-implemented method of claim 1 , wherein the spatial diagnostics data comprises a plurality of soundings of the communication channel and providing the service associated with the location at which the network exists using the spatial diagnostics data comprises determining whether the plurality of soundings include temporary disruptions over a timescale which correlates with human activity.

4. The computer-implemented method of claim 1 , wherein providing the service associated with the location at which the network exists using the spatial diagnostics data comprises at least one of:
turning a utility, a device, an appliance, a light, or a wireless node in a room on in response to the spatial diagnostics data indicating a person has entered the room; or
turning the utility, the device, the appliance, the light, or the wireless node in the room off in response to the spatial diagnostics data indicating the person has exited the room.

5. The computer-implemented method of claim 1 , wherein providing the service associated with the location at which the network exists using the spatial diagnostics data comprises at least one of:
determining based on the spatial diagnostics data whether human activity is detected at the location;
in response to the spatial diagnostics data indicating human activity at the location, generating and providing an alarm that indicates an unauthorized activity is present at the location; or
wherein generating the alarm includes an indication of a particular room in which the unauthorized activity is present.

6. The computer-implemented method of claim 1 , wherein the location comprises a residence and providing the service associated with the location at which the network exists using the spatial diagnostics data comprises determining based on the spatial diagnostics data at least one of:
an activity pattern with associated times of a person within one or more rooms of the residence; or
whether the person in the residence has fallen.

7. The computer-implemented method of claim 1 , wherein the network comprises a wireless local area network (WLAN) and providing the service associated with the location at which the network exists using the spatial diagnostics data comprises diagnosing issues with WLAN operation of the WLAN based on the spatial diagnostics data indicating movement of at least one of the computing devices from a location at which performance was acceptable to a new location at which service interruptions are experienced.

8. A computing system, comprising:
a computing device processor;
a memory device including instructions that, when executed by the computing device processor, enables the computing system to:
obtain spatial diagnostics data determined independent of changes to channel state parameters associated with a communication channel between computing devices in a network; and
provide a service associated with a location at which the network exists using the spatial diagnostics data.

9. The computing system of claim 8 , wherein provide the service associated with the location at which the network exists using the spatial diagnostics data comprises perform at least one of motion detection, proximity detection, or localization within the network.

10. The computing system of claim 8 , wherein the spatial diagnostics data comprises a plurality of soundings of the communication channel and provide the service associated with the location at which the network exists using the spatial diagnostics data comprises determine whether the plurality of soundings include temporary disruptions over a timescale which correlates with human activity.

11. The computing system of claim 8 , wherein to provide the service associated with the location at which the network exists using the spatial diagnostics data comprises at least one of:
turn a utility, a device, an appliance, a light, or a wireless node in a room at the location on in response to the spatial diagnostics data indicating a person has entered the room; or
turn the utility, the device, the appliance, the light, or the wireless node in the room off in response to the spatial diagnostics data indicating the person has exited the room.

12. The computing system of claim 8 , wherein to provide the service associated with the location at which the network exists using the spatial diagnostics data comprises at least one of:
determine based on the spatial diagnostics data whether human activity is detected at the location;
in response to the spatial diagnostics data indicating human activity at the location, generate and provide an alarm that indicates an unauthorized activity is present at the location; or
wherein the alarm includes an indication of a particular room at the location in which an intruder is present.

13. The computing system of claim 8 , wherein the location comprises a residence and provide the service associated with the location at which the network exists using the spatial diagnostics data comprises determine based on the spatial diagnostics data at least one of:
an activity pattern with associated times of a person within one or more rooms of the residence; or
whether the person in the residence has fallen.

14. The computing system of claim 8 , wherein the network comprises a wireless local area network (WLAN) and provide the service associated with the location at which the network exists using the spatial diagnostics data comprises diagnose issues with WLAN operation of the WLAN based on the spatial diagnostics data indicating movement of at least one of the computing devices from a location at which performance was acceptable to a new location at which service interruptions are experienced.

15. A computer-implemented method, comprising:
obtaining channel state parameters associated with a communication channel between computing devices in a network, the channel state parameters changing over time;
determining spatial diagnostics data independent of changes to the channel state parameters; and
providing a service associated with a location at which the network exists using the spatial diagnostics data.

16. The computer-implemented method of claim 15 , wherein obtaining the channel state parameters between the computing devices in the network comprises:
obtaining first channel state parameters associated with the communication channel between a wireless access point (WAP) and a station node during a first period of time; and
obtaining second channel state parameters associated with the communication channel during a second period of time,
wherein each of the first state parameters and the second channel state parameters represent one or more characteristics of the communication channel, and
wherein the second period of time occurs after the first period of time.

17. The computer-implemented method of claim 15 , further comprising:
detecting a trigger event on the network;
identifying a trigger type

Assignees

• Semiconductor Components Ind Llc
• Quantenna Communications Inc

Inventors

• Dash Debashis
• Dehghan Hossein
• Gilyarovskiy Georgy

Classifications

• H04L5/0096

  Indication of changes in allocation · CPC title

• H04L5/0048 Primary

  Allocation of pilot signals, i.e. of signals known to the receiver (allocation of control signalling H04L5/0053; use of control signalling H04L5/0091) · CPC title

• H04B7/0626 Primary

  Channel coefficients, e.g. channel state information [CSI] · CPC title

• H04W24/02

  Arrangements for optimising operational condition · CPC title

• H04W68/02

  Arrangements for increasing efficiency of notification or paging channel · CPC title