US 12,219,492 B2
System and method for traffic type detection and Wi-Fi target wake time parameter design
Guanbo Chen, McKinney, TX (US); Abhishek Sehgal, Plano, TX (US); and Wenxun Qiu, Allen, TX (US)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed on Apr. 4, 2022, as Appl. No. 17/657,940.
Claims priority of provisional application 63/185,818, filed on May 7, 2021.
Claims priority of provisional application 63/184,595, filed on May 5, 2021.
Prior Publication US 2022/0369232 A1, Nov. 17, 2022
Int. Cl. H04W 52/02 (2009.01); H04L 47/2441 (2022.01); H04W 84/12 (2009.01)
CPC H04W 52/0248 (2013.01) [H04L 47/2441 (2013.01); H04W 84/12 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining statistical information of incoming network traffic;
using a state machine to classify the incoming network traffic as a traffic pattern based on the statistical information; and
using the traffic pattern to adapt one or more Target Wakeup Time (TWT) parameters to optimize power consumption of a Wi-Fi station,
wherein the traffic pattern includes at least one of bursty traffic, random traffic, and stable traffic, and
wherein obtaining the statistical information of the incoming network traffic comprises:
obtaining first statistical information of the incoming network traffic at a fine time scale;
determining whether a pattern of the incoming network traffic has changed; and
obtaining second statistical information of the incoming network traffic at a coarse time scale having a longer observation window than the fine time scale, based on whether the pattern of the incoming network traffic has changed.