WO2023150348A3 - Random-access channel procedure using neural networks - Google Patents

Random-access channel procedure using neural networks Download PDF

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Publication number
WO2023150348A3
WO2023150348A3 PCT/US2023/012413 US2023012413W WO2023150348A3 WO 2023150348 A3 WO2023150348 A3 WO 2023150348A3 US 2023012413 W US2023012413 W US 2023012413W WO 2023150348 A3 WO2023150348 A3 WO 2023150348A3
Authority
WO
WIPO (PCT)
Prior art keywords
neural networks
random
access channel
channel procedure
signal
Prior art date
Application number
PCT/US2023/012413
Other languages
French (fr)
Other versions
WO2023150348A2 (en
Inventor
Jibing Wang
Erik Richard Stauffer
Original Assignee
Google Llc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Google Llc filed Critical Google Llc
Publication of WO2023150348A2 publication Critical patent/WO2023150348A2/en
Publication of WO2023150348A3 publication Critical patent/WO2023150348A3/en

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W74/00—Wireless channel access, e.g. scheduled or random access
    • H04W74/002—Transmission of channel access control information
    • H04W74/006—Transmission of channel access control information in the downlink, i.e. towards the terminal
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W74/00—Wireless channel access, e.g. scheduled or random access
    • H04W74/08—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access]
    • H04W74/0808—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using carrier sensing, e.g. as in CSMA

Abstract

A wireless communication system (100) employs DNNs or other neural networks (118, 130, 138, 146) to provide for RACH techniques. A TX DNN (118) at user equipment (UE) (108) generates and provides for wireless transmission of a Random Access (RA) signal (124) to a base station (BS) 110. A BS (110) receives the RA signal (124) as input, and from this input generates and provides for wireless transmission of an RA Response signal (150) to the UE (108).
PCT/US2023/012413 2022-02-07 2023-02-06 Random-access channel procedure using neural networks WO2023150348A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202263307409P 2022-02-07 2022-02-07
US63/307,409 2022-02-07

Publications (2)

Publication Number Publication Date
WO2023150348A2 WO2023150348A2 (en) 2023-08-10
WO2023150348A3 true WO2023150348A3 (en) 2023-08-31

Family

ID=85979443

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2023/012413 WO2023150348A2 (en) 2022-02-07 2023-02-06 Random-access channel procedure using neural networks

Country Status (1)

Country Link
WO (1) WO2023150348A2 (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190371087A1 (en) * 2019-06-10 2019-12-05 Lg Electronics Inc. Vehicle device equipped with artificial intelligence, methods for collecting learning data and system for improving performance of artificial intelligence
EP3826415A1 (en) * 2019-11-25 2021-05-26 Nokia Technologies Oy Preamble detection in wireless network
US20210321226A1 (en) * 2020-04-08 2021-10-14 Qualcomm Incorporated Feedback for multicast transmissions while in an inactive or idle mode
WO2021215995A1 (en) * 2020-04-23 2021-10-28 Telefonaktiebolaget Lm Ericsson (Publ) Improving random access based on artificial intelligence / machine learning (ai/ml)

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190371087A1 (en) * 2019-06-10 2019-12-05 Lg Electronics Inc. Vehicle device equipped with artificial intelligence, methods for collecting learning data and system for improving performance of artificial intelligence
EP3826415A1 (en) * 2019-11-25 2021-05-26 Nokia Technologies Oy Preamble detection in wireless network
US20210321226A1 (en) * 2020-04-08 2021-10-14 Qualcomm Incorporated Feedback for multicast transmissions while in an inactive or idle mode
WO2021215995A1 (en) * 2020-04-23 2021-10-28 Telefonaktiebolaget Lm Ericsson (Publ) Improving random access based on artificial intelligence / machine learning (ai/ml)

Also Published As

Publication number Publication date
WO2023150348A2 (en) 2023-08-10

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