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1.
公开(公告)号:US11856524B2
公开(公告)日:2023-12-26
申请号:US17544649
申请日:2021-12-07
Applicant: INTELLIGENT AUTOMATION, LLC
Inventor: Ziad El-Jamous , Yalin Evren Sagduyu , Kemal Davaslioglu
CPC classification number: H04W52/223 , H04W52/06
Abstract: Wireless networks with plural nodes having a respective transceiver and a processor configured to, and methods to, obtain current state data, calculate a reward, store such state data and rewards in a collected parameters database, provide such current state data and data from such collected parameters database to a reinforced neural network, select an action using the reinforced neural network, and output the action to the respective transceiver so as to selective modify its transmit power level.
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2.
公开(公告)号:US20230180138A1
公开(公告)日:2023-06-08
申请号:US17544649
申请日:2021-12-07
Applicant: INTELLIGENT AUTOMATION, LLC
Inventor: Ziad El-Jamous , Yalin Evren Sagduyu , Kemal Davaslioglu
CPC classification number: H04W52/223 , H04W52/06
Abstract: Wireless networks with plural nodes having a respective transceiver and a processor configured to, and methods to, obtain current state data, calculate a reward, store such state data and rewards in a collected parameters database, provide such current state data and data from such collected parameters database to a reinforced neural network, select an action using the reinforced neural network, and output the action to the respective transceiver so as to selective modify its transmit power level.
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3.
公开(公告)号:US20240089863A1
公开(公告)日:2024-03-14
申请号:US18505749
申请日:2023-11-09
Applicant: INTELLIGENT AUTOMATION, LLC
Inventor: Ziad El-Jamous , Yalin Evren Sagduyu , Kemal Davaslioglu
CPC classification number: H04W52/223 , H04W52/06
Abstract: Wireless networks with plural nodes having a respective transceiver and a processor configured to, and methods to, obtain current state data, calculate a reward, store such state data and rewards in a collected parameters database, provide such current state data and data from such collected parameters database to a reinforced neural network, select an action using the reinforced neural network, and output the action to the respective transceiver so as to selective modify its transmit power level.
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