Chris M Graham

US Patent:

20220361096, Nov 10, 2022

Filed:

Jul 26, 2022

Appl. No.:

17/874078

Inventors:

- Bellevue WA, US
Ben HOOBLER - Bellevue WA, US
John BURNETTE - Bellevue WA, US
Dave GIBBONS - Bellevue WA, US
Zack BRENTSON - Bellevue WA, US
Chris GRAHAM - Bellevue WA, US
Michelle MILLER - Bellevue WA, US

International Classification:

H04W 48/00
H04W 36/14

Abstract:

A wireless device determines whether a data session is performance sensitive, and in response to the data session being performance sensitive, selects a data transport node (DTN) and performs the data session using the selected DTN. Whether a data session is performance sensitive may be determined using information on a process associated with the data session, by monitoring the data session, or both. The DTN may be selected from a list of available DTNs according to which DTN will probably provide the highest performance for the data session, or according to which DTN or DTNs will probably provide adequate performance. Micro speed tests, historical performance information, or other criteria may be used to predict the performance of the available DTNs. When multiple DTNs satisfy the selection criteria, a “good neighbor” policy may be used to select the DTN.

US Patent:

20200120586, Apr 16, 2020

Filed:

Oct 11, 2019

Appl. No.:

16/600100

Inventors:

- Seattle WA, US
Ben HOOBLER - Seattle WA, US
John BURNETTE - Seattle WA, US
Dave GIBBONS - Seattle WA, US
Zack BRENTSON - Seattle WA, US
Chris GRAHAM - Seattle WA, US
Michelle MILLER - Seattle WA, US

International Classification:

H04W 48/00
H04W 36/14

Abstract:

A wireless device determines whether a data session is performance sensitive, and in response to the data session being performance sensitive, selects a data transport node (DTN) and performs the data session using the selected DTN. Whether a data session is performance sensitive may be determined using information on a process associated with the data session, by monitoring the data session, or both. The DTN may be selected from a list of available DTNs according to which DTN will probably provide the highest performance for the data session, or according to which DTN or DTNs will probably provide adequate performance. Micro speed tests, historical performance information, or other criteria may be used to predict the performance of the available DTNs. When multiple DTNs satisfy the selection criteria, a “good neighbor” policy may be used to select the DTN.