OPTIMIZATION OF MU-MIMO BEAMFORMING IN A WI-FI COMMUNICATION NETWORK BASED ON MOBILITY PROFILES

• US 20180070345A1
• Filed: 09/08/2017
• Published: 03/08/2018
• Est. Priority Date: 11/10/2015
• Status: Active Grant

• Current Assignee: Fortinet Inc.
• Original Assignee: Meru Networks, Inc. (Fortinet Inc.)
• Inventors: Kaushik, Anil
• Granted Patent: US 11,006,422 B2
• Time in Patent Office: Days
• CPC Class Codes: H04B 7/0417 Feedback systems
• CPC Class Codes: H04B 7/0452 Multi-user MIMO systems
• CPC Class Codes: H04W 72/046 the resource being in the space domain, e.g. beams
• CPC Class Codes: H04W 8/24 Transfer of terminal data
• CPC Class Codes: H04W 84/12 WLAN [Wireless Local Area Networks]

Abstract

An access point associated on Wi-Fi portion of the communication network selectively groups stations according to a mobility profile. The mobility profile includes factors that characterize at least an amount of movement and current location for a station. Each station is assigned to a beamforming group of similar mobility profiles. A type of beamforming transmission is selected for each beamforming group based on mobility profiles of associated stations. The type of beamforming transmissions including at least MU-MIMO and SU-MIMO. Data is then transmitted to the stations of each beamforming group according to the selected type of beamforming transmissions. A Wi-Fi controller, having a network-wide view of conditions and being able to collect historical information about stations during connections to other access points, is able to provide data unique data to group selections.

Claims

1. A computer-implemented method, in an access point having MU-MIMO capability, for automatically grouping stations into groups to optimize Wi-Fi beamforming transmissions over a communication network, the method comprising the steps of:

associating with stations of a plurality of stations over a Wi-Fi portion of the communication network, wherein the stations have MU-MIMO capability;

determining a mobility profile for each station of the plurality of stations, the mobility profile including factors that characterize at least an amount of movement and current location for a station;

assigning each station to a beamforming group, each station of the beamforming group having similar mobility profiles;

selecting a type of beamforming transmission for each beamforming group based on mobility profiles of associated stations, the type of beamforming transmissions including at least MU-MIMO and SU-MIMO; and

transmitting data to the stations of each beamforming group according to the selected type of beamforming transmissions.

2. The method of claim 1, wherein selecting a type of beamforming transmission, further comprises:

selecting MU-MIMO type of beamforming transmission for beamforming groups having an average mobility profile above a mobility threshold; and

selecting SU-MIMO type of beamforming transmissions for beamforming groups having an average mobility profile below a mobility threshold.

3. The method of claim 1, wherein transmitting data to the stations, further comprises:

measuring beamforming feedback for the stations for a group characterized by high mobility;

responsive to the measured feedback, determining a first beamforming characteristics;

transmitting to a beamforming group using the first beamforming characteristics; and

periodically adjusting the first beamforming characteristics based on updated measurements of beamforming feedback.

4. The method of claim 3, wherein transmitting the data to the stations, further comprises:

measuring beamforming feedback for the stations for a group characterized by low mobility;

responsive to the measured feedback, determining a second beamforming characteristics;

transmitting to a beamforming group using the second beamforming characteristics; and

periodically adjusting the second beamforming characteristics based on updated measurements of beamforming feedback, wherein periods between periodic adjustments for the second beamforming group is longer than periods between periodic adjustments of the first beamforming group.

5. The method of claim 1, wherein transmitting the data to the stations, further comprises:

measuring beamforming feedback for the stations for a third beamforming group characterized by low mobility;

responsive to the measured feedback, determining a third beamforming characteristics; and

transmitting to a beamforming group characterized by low mobility without periodically adjusting the third beamforming characteristics based on updated measurement of beamforming feedback.

6. The method of claim 1, wherein assigning each station to a beamforming group, further comprises:

measuring beamforming feedback for the stations for a group characterized by high mobility;

responsive to the measured feedback, determining a third beamforming characteristics;

transmitting to a beamforming group using the third beamforming characteristics, including using SU-MIMO data streams for transmissions despite having the MU-MIMO capability.

7. The method of claim 1, wherein transmitting data to the stations, further comprises:

transmitting includes beamforming to send frames to spatially diverse locations at the same time, wherein different beamforming characteristics are utilized for different locations.

8. The method of claim 1, wherein determining a location for the mobility profile, further comprises:

measuring RSSI values of the plurality of stations.

9. The method of claim 1, wherein determining an amount of mobility for the mobility profile, further comprises:

measuring RSSI values of the plurality of stations at different points in time; and

detecting a movement responsive to a change in the RSSI values of the plurality of stations at the different points in time.

10. The method of claim 1, wherein assigning each station to a beamforming group, further comprises:

defining each beamforming group of a plurality of beamforming groups with an amount of mobility.

11. The method of claim 1, wherein assigning each station to a beamforming group, further comprises:

determining a type of device for stations of the plurality of stations; and

initially assigning stations based on the type of device having an assumed mobility profile.

12. The method of claim 1, wherein assigning each station to a beamforming group, further comprises:

determining a type of user for stations of the plurality of stations; and

initially assigning stations based on the type of user having an assumed mobility profile.

13. The method of claim 1, wherein determining the mobility profile, further comprises:

retrieving a previously assigned category for at least one station from a database.

14. The method of claim 1, wherein assigning each station to a beamforming group, further comprises:

retrieving a previously assigned beamforming group from a database.

15. The method of claim 1, wherein assigning each station to a beamforming group, further comprises:

receiving a device type for at least one station of the plurality of station,

wherein assigning each station to a beamforming group comprises assigning the at least one station of the plurality of stations based on the device type.

16. The method of claim 1, wherein the access points operates according to at least one of IEEE 802.11n, IEEE 802.11 ac wave 2, and a Wi-Fi protocol that supports beamforming.

17. A non-transitory computer-readable medium storing source code that, when executed by a processor, performs a method in an access point for automatically grouping stations into groups to optimize Wi-Fi beamforming transmissions over a communication network, the method comprising the steps of:

associating with stations of a plurality of stations over a Wi-Fi portion of the communication network, wherein the stations have MU-MIMO capability;

determining a mobility profile for each station of the plurality of stations, the mobility profile including factors that characterize at least an amount of movement and current location for a station;

assigning each station to a beamforming group, each station of the beamforming group having similar mobility profiles;

selecting a type of beamforming transmission for each beamforming group based on mobility profiles of associated stations, the type of beamforming transmissions including at least MU-MIMO and SU-MIMO; and

transmitting data to the stations of each beamforming group according to the selected type of beamforming transmissions.

18. An access point for automatically grouping stations into groups to optimize Wi-Fi beamforming transmissions over a communication network, the access point comprising:

a processor; and

a memory, storing;

a first module to associate with stations of a plurality of stations over a Wi-Fi portion of the communication network, wherein the stations have MU-MIMO capability;

a second module to determine a mobility profile for each station of the plurality of stations, the mobility profile including factors that characterize at least an amount of movement and current location for a station;

a third module to assign each station to a beamforming group, each station of the beamforming group having similar mobility profiles;

a fourth module to select a type of beamforming transmission for each beamforming group based on mobility profiles of associated stations, the type of beamforming transmissions including at least MU-MIMO and SU-MIMO; and

transmitting data to the stations of each beamforming group according to the selected type of beamforming transmission group.