BR112020014657A2 - Feedback de configuração de formação de rede neural para comunicações sem fio - Google Patents

Feedback de configuração de formação de rede neural para comunicações sem fio

Info

Publication number
BR112020014657A2
BR112020014657A2 BR112020014657A BR112020014657A BR112020014657A2 BR 112020014657 A2 BR112020014657 A2 BR 112020014657A2 BR 112020014657 A BR112020014657 A BR 112020014657A BR 112020014657 A BR112020014657 A BR 112020014657A BR 112020014657 A2 BR112020014657 A2 BR 112020014657A2
Authority
BR
Brazil
Prior art keywords
neural network
network formation
wireless communications
configuration feedback
deep neural
Prior art date
Application number
BR112020014657A
Other languages
English (en)
Inventor
Richard Stauffer Erik
Jibing Wang
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 BR112020014657A2 publication Critical patent/BR112020014657A2/pt

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/16Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/12Arrangements for detecting or preventing errors in the information received by using return channel
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/0001Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0015Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy
    • H04L1/0016Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy involving special memory structures, e.g. look-up tables
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/003Arrangements for allocating sub-channels of the transmission path
    • H04L5/0048Allocation of pilot signals, i.e. of signals known to the receiver
    • H04L5/0051Allocation of pilot signals, i.e. of signals known to the receiver of dedicated pilots, i.e. pilots destined for a single user or terminal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/06Testing, supervising or monitoring using simulated traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/003Arrangements for allocating sub-channels of the transmission path
    • H04L5/0048Allocation of pilot signals, i.e. of signals known to the receiver

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

feedback de configuração de formação de rede neural para comunicações sem fio. técnicas e aparelhos são descritos para feedback de configuração de formação de rede neural para comunicações sem fio. uma entidade de rede (estação base 120, servidor de rede principal 302) determina um conjunto (conjuntos 2002, 2104) de sinais de referência de rede neural profunda para enviar em um canal físico para medir o desempenho de redes neurais profundas e/ou um conjunto de configurações de formação de rede neural (conjuntos 2004, 2106). a entidade de rede comunica indicações (indicações 2030, 2102) do conjunto de configurações de formação de rede neural e o conjunto de sinais de referência de rede neural profunda a um equipamento de usuário (ue 110). a entidade de rede inicia a transmissão de cada sinal de referência de rede neural profunda do conjunto, e direciona o equipamento de usuário para medir (saídas 2032, 2034, 2036, 2124, 2128, 2132) o desempenho de um conjunto de redes neurais profundas formadas usando o conjunto de configurações de formação de rede neural, e seleciona uma do conjunto de configurações de formação de rede neural.
BR112020014657A 2019-09-04 2019-09-04 Feedback de configuração de formação de rede neural para comunicações sem fio BR112020014657A2 (pt)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2019/049566 WO2021045748A1 (en) 2019-09-04 2019-09-04 Neural network formation configuration feedback for wireless communications

Publications (1)

Publication Number Publication Date
BR112020014657A2 true BR112020014657A2 (pt) 2022-03-22

Family

ID=69743894

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112020014657A BR112020014657A2 (pt) 2019-09-04 2019-09-04 Feedback de configuração de formação de rede neural para comunicações sem fio

Country Status (6)

Country Link
US (1) US11397893B2 (pt)
EP (1) EP3808024B1 (pt)
CN (1) CN112997435B (pt)
BR (1) BR112020014657A2 (pt)
RU (1) RU2739483C1 (pt)
WO (1) WO2021045748A1 (pt)

Families Citing this family (35)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10939471B2 (en) 2019-06-13 2021-03-02 David E. Newman Managed transmission of wireless DAT messages
EP3997619A1 (en) 2019-08-14 2022-05-18 Google LLC Communicating a neural network formation configuration
WO2021029889A1 (en) 2019-08-14 2021-02-18 Google Llc Base station-user equipment messaging regarding deep neural networks
US11886991B2 (en) 2019-11-27 2024-01-30 Google Llc Machine-learning architectures for broadcast and multicast communications
US11689940B2 (en) 2019-12-13 2023-06-27 Google Llc Machine-learning architectures for simultaneous connection to multiple carriers
US11696119B2 (en) * 2019-12-16 2023-07-04 Qualcomm Incorporated Neural network configuration for wireless communication system assistance
US11102699B1 (en) 2020-02-05 2021-08-24 Sprint Communications Company L.P. Wireless communication relay service over multiple network transceivers
US11792877B2 (en) * 2020-02-21 2023-10-17 Qualcomm Incorporated Indication triggering transmission of known data for training artificial neural networks
US11936452B2 (en) * 2020-02-28 2024-03-19 Qualcomm Incorporated Neural network based channel state information feedback
US11663472B2 (en) 2020-06-29 2023-05-30 Google Llc Deep neural network processing for a user equipment-coordination set
US20220060917A1 (en) * 2020-08-18 2022-02-24 Qualcomm Incorporated Online training and augmentation of neural networks for channel state feedback
US11153780B1 (en) 2020-11-13 2021-10-19 Ultralogic 5G, Llc Selecting a modulation table to mitigate 5G message faults
US11202198B1 (en) 2020-12-04 2021-12-14 Ultralogic 5G, Llc Managed database of recipient addresses for fast 5G message delivery
US11729757B2 (en) * 2021-01-05 2023-08-15 Qualcomm Incorporated Power level determination for transmission of reference signals
EP4311350A4 (en) * 2021-03-19 2024-05-01 Guangdong Oppo Mobile Telecommunications Corp., Ltd. WIRELESS COMMUNICATION METHOD, TERMINAL EQUIPMENT AND NETWORK DEVICE
CN115134042A (zh) * 2021-03-25 2022-09-30 中兴通讯股份有限公司 网络参数集合信息传输方法、装置、终端、基站和介质
US11889503B2 (en) * 2021-03-26 2024-01-30 Qualcomm Incorporated UE feedback of non-preferred time-frequency resources
US20220330012A1 (en) * 2021-04-12 2022-10-13 Qualcomm Incorporated Methods and apparatus for ue reporting of time varying ml capability
WO2022236763A1 (en) * 2021-05-13 2022-11-17 Qualcomm Incorporated Sounding and transmission precoding matrix indication determination using machine learning models
US20220386151A1 (en) * 2021-06-01 2022-12-01 Qualcomm Incorporated Techniques for machine learning based peak to average power ratio reduction
US20220407745A1 (en) * 2021-06-15 2022-12-22 Samsung Electronics Co., Ltd. Method and apparatus for reference symbol pattern adaptation
CN115811451A (zh) * 2021-09-13 2023-03-17 维沃移动通信有限公司 参考信号序列生成方法、装置、设备及介质
EP4374294A1 (en) * 2021-09-15 2024-05-29 Google LLC Hybrid wireless processing chains that include deep neural networks and static algorithm modules
WO2023044696A1 (en) * 2021-09-24 2023-03-30 Apple Inc. Dmrs overhead adaptation with ai-based channel estimation
US20230093963A1 (en) * 2021-09-28 2023-03-30 Qualcomm Incorporated Artificial intelligence based enhancements for idle and inactive state operations
KR20240099312A (ko) * 2021-11-04 2024-06-28 엘지전자 주식회사 무선 통신 시스템에서 상향링크 또는 하향링크 송수신을 수행하는 방법 및 장치
US11368349B1 (en) * 2021-11-15 2022-06-21 King Abdulaziz University Convolutional neural networks based computationally efficient method for equalization in FBMC-OQAM system
US20230308349A1 (en) * 2022-03-23 2023-09-28 Samsung Electronics Co., Ltd. Method and apparatus for reference symbol pattern adaptation
CN116939716A (zh) * 2022-04-06 2023-10-24 华为技术有限公司 通信装置及方法
US20230342590A1 (en) * 2022-04-25 2023-10-26 DeepSig Inc. Access networks with machine learning
WO2023206193A1 (en) * 2022-04-28 2023-11-02 Apple Inc. Neural network processing management
GB202211702D0 (en) * 2022-05-06 2022-09-21 Samsung Electronics Co Ltd Method and Apparatus for Application Federated Learning Flexible Operation over 5GS
WO2023220145A1 (en) * 2022-05-13 2023-11-16 Google Llc Conditional neural networks for cellular communication systems
US20240224060A1 (en) * 2022-07-25 2024-07-04 Rakuten Mobile, Inc. Apparatus and method for providing a maintenance plan in a telecommunication network
US20240056865A1 (en) * 2022-08-10 2024-02-15 Samsung Electronics Co., Ltd. User equipment, base station and method performed by the same in wireless communication system

Family Cites Families (75)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6594238B1 (en) 1998-06-19 2003-07-15 Telefonaktiebolaget Lm Ericsson (Publ) Method and apparatus for dynamically adapting a connection state in a mobile communications system
US8155620B2 (en) * 2007-06-13 2012-04-10 Qualcomm Incorporated Method and apparatus for accounting in a mobile data packet network
US9342793B2 (en) * 2010-08-31 2016-05-17 Red Hat, Inc. Training a self-learning network using interpolated input sets based on a target output
US9208432B2 (en) 2012-06-01 2015-12-08 Brain Corporation Neural network learning and collaboration apparatus and methods
US9330183B2 (en) 2013-05-08 2016-05-03 Facebook, Inc. Approximate privacy indexing for search queries on online social networks
US9781685B2 (en) 2013-11-21 2017-10-03 At&T Intellectual Property I, L.P. Self-adaptive coverage of wireless networks
EP3192012A4 (en) 2014-09-12 2018-01-17 Microsoft Technology Licensing, LLC Learning student dnn via output distribution
CN105991235B (zh) 2015-03-04 2020-10-30 株式会社Ntt都科摩 一种调整编码调制方案的方法、用户设备及基站
US20160328644A1 (en) 2015-05-08 2016-11-10 Qualcomm Incorporated Adaptive selection of artificial neural networks
US10157324B2 (en) 2015-05-11 2018-12-18 Google Llc Systems and methods of updating user identifiers in an image-sharing environment
US9900744B2 (en) 2015-08-03 2018-02-20 At&T Intellectual Property I, L.P. Location based provisioning and broadcasting of content utilizing a multimedia broadcast service
TWI553566B (zh) 2015-10-13 2016-10-11 Univ Yuan Ze 干擾環境中建構於分時多工接取之室內小細胞自我優化佈署串接控 制方法與裝置
WO2017091115A1 (en) 2015-11-24 2017-06-01 Telefonaktiebolaget Lm Ericsson (Publ) Method and control node for configuring carrier aggregation for a wireless device
US10338968B2 (en) 2016-02-05 2019-07-02 Sas Institute Inc. Distributed neuromorphic processing performance accountability
US9913116B2 (en) 2016-02-24 2018-03-06 Robert D. Pedersen Multicast expert system information dissemination system and method
CN116056251A (zh) 2016-06-15 2023-05-02 交互数字专利控股公司 网络切片发现和选择
US9760827B1 (en) 2016-07-22 2017-09-12 Alpine Electronics of Silicon Valley, Inc. Neural network applications in resource constrained environments
US9893941B1 (en) 2016-07-29 2018-02-13 Qualcomm Incorporated Unit sourcing
US20180039884A1 (en) 2016-08-03 2018-02-08 Barnaby Dalton Systems, methods and devices for neural network communications
WO2018068857A1 (en) * 2016-10-13 2018-04-19 Huawei Technologies Co., Ltd. Method and unit for radio resource management using reinforcement learning
GB2557674B (en) 2016-12-15 2021-04-21 Samsung Electronics Co Ltd Automated Computer Power Management System, Apparatus and Methods
EP3583777A4 (en) 2017-02-16 2020-12-23 Nokia Technologies Oy VIDEO PROCESSING PROCESS AND TECHNICAL EQUIPMENT
WO2018149898A2 (en) 2017-02-16 2018-08-23 Alcatel-Lucent Ireland Ltd Methods and systems for network self-optimization using deep learning
US10440772B2 (en) 2017-05-02 2019-10-08 Qualcom Incorporated Fast user equipment reconfiguration signaling in wireless communication
US10834575B2 (en) 2017-06-16 2020-11-10 At&T Intellectual Property I, L.P. Initial access configuration for coexistence of multiple wireless communication systems
EP3418948B1 (en) 2017-06-19 2020-06-03 Nokia Technologies Oy Data transmission network configuration
US10375585B2 (en) 2017-07-06 2019-08-06 Futurwei Technologies, Inc. System and method for deep learning and wireless network optimization using deep learning
CN107181600B (zh) 2017-07-27 2019-12-06 锐捷网络股份有限公司 一种密码登录认证方法、***及用户设备和认证服务器
US10713535B2 (en) 2017-09-15 2020-07-14 NovuMind Limited Methods and processes of encrypted deep learning services
US10743147B2 (en) 2017-10-30 2020-08-11 Apple Inc. Expanded implementation of enhanced broadcast multicast services for broadcast multicast content selection and service
US11140529B2 (en) 2017-11-27 2021-10-05 Intel Corporation Multi-access edge computing (MEC) based multi operator support for C-V2X systems
JP6935820B2 (ja) 2017-12-15 2021-09-15 日産自動車株式会社 車両用フロアカーペットの開口部構造
US10599975B2 (en) 2017-12-15 2020-03-24 Uber Technologies, Inc. Scalable parameter encoding of artificial neural networks obtained via an evolutionary process
US20190188285A1 (en) 2017-12-19 2019-06-20 Facebook, Inc. Image Search with Embedding-based Models on Online Social Networks
KR102536118B1 (ko) 2017-12-30 2023-05-23 인텔 코포레이션 차량 무선 통신을 위한 방법 및 디바이스
US11290923B2 (en) 2017-12-30 2022-03-29 Intel Corporation Handover-related technology, apparatuses, and methods
EP3738347B1 (en) 2018-01-12 2023-12-20 FG Innovation Company Limited Conditional handover procedures
CN110049533B (zh) 2018-01-15 2020-12-22 华为技术有限公司 一种本地数据网络的指示方法及装置
WO2019141902A1 (en) 2018-01-17 2019-07-25 Nokia Technologies Oy An apparatus, a method and a computer program for running a neural network
US10952081B2 (en) 2018-02-23 2021-03-16 Google Llc Detecting radio coverage problems
US20190279082A1 (en) 2018-03-07 2019-09-12 Movidius Ltd. Methods and apparatus to determine weights for use with convolutional neural networks
US11509542B2 (en) 2018-05-02 2022-11-22 Telefonaktiebolaget Lm Ericsson (Publ) First network node, third network node, and methods performed thereby, for handling a performance of a radio access network
EP3576019A1 (en) 2018-05-29 2019-12-04 Nokia Technologies Oy Artificial neural networks
US10505616B1 (en) 2018-06-01 2019-12-10 Samsung Electronics Co., Ltd. Method and apparatus for machine learning based wide beam optimization in cellular network
US10374623B1 (en) * 2018-06-11 2019-08-06 Ciena Corporation Digital-to-analog converter and generation of high-bandwidth analog signals
US10499304B1 (en) 2018-06-18 2019-12-03 Google Llc Fifth generation new radio edge computing mobility management
US11665576B2 (en) 2018-08-10 2023-05-30 Verizon Patent And Licensing Inc. Systems and methods for wireless low latency traffic scheduler
US11244242B2 (en) 2018-09-07 2022-02-08 Intel Corporation Technologies for distributing gradient descent computation in a heterogeneous multi-access edge computing (MEC) networks
US20190044535A1 (en) 2018-09-28 2019-02-07 Intel Corporation Systems and methods for compressing parameters of learned parameter systems
GB2577741B (en) 2018-10-05 2022-07-27 Airspan Ip Holdco Llc An apparatus and method for configuring a communication link
WO2020080989A1 (en) 2018-10-19 2020-04-23 Telefonaktiebolaget Lm Ericsson (Publ) Handling of machine learning to improve performance of a wireless communications network
CN109743268B (zh) * 2018-12-06 2022-02-15 东南大学 基于深度神经网络的毫米波信道估计和压缩方法
JP7011759B1 (ja) 2019-02-19 2022-01-27 ノキア ソリューションズ アンド ネットワークス オサケユキチュア 無線アクセスネットワーク(ran)ノードに対するニューラルネットワークの構成
US20200272899A1 (en) 2019-02-22 2020-08-27 Ubotica Technologies Limited Systems and Methods for Deploying and Updating Neural Networks at the Edge of a Network
JP7272818B2 (ja) 2019-02-26 2023-05-12 キヤノンメディカルシステムズ株式会社 データ処理装置、方法及びプログラム
US10461421B1 (en) 2019-05-07 2019-10-29 Bao Tran Cellular system
US10992331B2 (en) * 2019-05-15 2021-04-27 Huawei Technologies Co., Ltd. Systems and methods for signaling for AI use by mobile stations in wireless networks
US11533115B2 (en) 2019-05-15 2022-12-20 Huawei Technologies Co., Ltd. Systems and methods for wireless signal configuration by a neural network
EP3970074A1 (en) 2019-05-16 2022-03-23 FRAUNHOFER-GESELLSCHAFT zur Förderung der angewandten Forschung e.V. Concepts for federated learning, client classification and training data similarity measurement
US11321282B2 (en) * 2019-05-17 2022-05-03 Bao Tran Blockchain cellular system
CN111953448B (zh) * 2019-05-17 2024-04-30 株式会社Ntt都科摩 无线通信***中的终端和基站
US11700518B2 (en) 2019-05-31 2023-07-11 Huawei Technologies Co., Ltd. Methods and systems for relaying feature-driven communications
WO2021029889A1 (en) 2019-08-14 2021-02-18 Google Llc Base station-user equipment messaging regarding deep neural networks
EP3997619A1 (en) 2019-08-14 2022-05-18 Google LLC Communicating a neural network formation configuration
US10812992B1 (en) * 2019-09-02 2020-10-20 Bao Tran Cellular system
US11153179B2 (en) 2019-09-09 2021-10-19 Qualcomm Incorporated Neural-network-based link-level performance prediction
CN114424601A (zh) 2019-10-28 2022-04-29 谷歌有限责任公司 用于无线网络的端到端机器学习
US11886991B2 (en) 2019-11-27 2024-01-30 Google Llc Machine-learning architectures for broadcast and multicast communications
CN114788353B (zh) 2019-11-28 2024-06-28 瑞典爱立信有限公司 执行切换过程
CN112886996A (zh) 2019-11-29 2021-06-01 北京三星通信技术研究有限公司 信号接收方法、用户设备、电子设备及计算机存储介质
US11689940B2 (en) 2019-12-13 2023-06-27 Google Llc Machine-learning architectures for simultaneous connection to multiple carriers
US11646838B2 (en) 2020-02-21 2023-05-09 Qualcomm Incorporated Broadcasting known data to train artificial neural networks
EP4140170A1 (en) 2020-06-05 2023-03-01 Google LLC End-to-end deep neural network adaptation for edge computing
US11663472B2 (en) 2020-06-29 2023-05-30 Google Llc Deep neural network processing for a user equipment-coordination set
US20230259789A1 (en) 2020-07-10 2023-08-17 Google Llc Federated learning for deep neural networks in a wireless communication system

Also Published As

Publication number Publication date
EP3808024A1 (en) 2021-04-21
CN112997435B (zh) 2024-04-09
WO2021045748A1 (en) 2021-03-11
US11397893B2 (en) 2022-07-26
RU2739483C1 (ru) 2020-12-24
US20210064996A1 (en) 2021-03-04
CN112997435A (zh) 2021-06-18
EP3808024B1 (en) 2022-03-16

Similar Documents

Publication Publication Date Title
BR112020014657A2 (pt) Feedback de configuração de formação de rede neural para comunicações sem fio
EP4304116A3 (en) Methods and systems for determination of type of system information
SG11201903386WA (en) Method for transmitting and receiving uplink in wireless communication system and apparatus therefor
MX2022015295A (es) Determinacion de grupos de bloque de recursos en una parte de ancho de banda de equipo de usuario.
BR112019023147A2 (pt) Métodos para um equipamento de usuário e para uma estação base, equipamento de usuário, e, estação base.
BR112019003394A2 (pt) adaptação para variação de espalhamento de retardo em sistemas de comunicação sem fios
BR112019003423A2 (pt) treinamento de feixe para modo operacional de recepção descontínua (drx)
MY194977A (en) Systems and methods of recommending a data rate in a wireless communications system
WO2018226039A3 (ko) 무선 통신 시스템에서 하향링크 신호를 수신 또는 전송하기 위한 방법 및 이를 위한 장치
BR112019002309A2 (pt) alocação de recurso de referência a canal de dados para um canal de controle
WO2020023536A3 (en) Group-common control information
CL2019001281A1 (es) Método de transmisión de datos de enlace ascendente, dispositivo terminal y dispositivo de red.
MX2020001381A (es) Configuracion de medicion de equipo de usuario.
MX2019000441A (es) Metodo, aparato y sistema de comunicacion inalambrica.
BR112019000013A2 (pt) técnicas para suportar um modo de banda mais larga para comunicação otimizada do tipo máquina
PH12015500544A1 (en) Methods, network nodes and user equipments in a wireless network for communicating an epdcch
BR112023004505A2 (pt) Configuração de relatórios e medições de posicionamento
MX2019015113A (es) Indicacion de forma de onda en redes de comunicacion inalambrica.
WO2021080874A8 (en) Sidelink groupcast scheduling
MX2020006875A (es) Metodos para determinar categorias de acceso y/o causas de establecimiento y dispositivos relacionados.
WO2018082985A3 (en) USER EQUIPMENT, BASE STATION, WIRELESS COMMUNICATION NETWORK, DATA SIGNAL AND METHOD FOR PROVIDING ENHANCED SPS CONTROL AND SPS CONTINUES AFTER AN INTERCELLULAR TRANSFER
MY196594A (en) Packet Data Connectivity Control With Volume Charged Service Limitation
WO2016044154A3 (en) Systems and methods for adjusting clear channel assessment levels to increase wireless communication network throughput
WO2020101780A3 (en) Methods and apparatus for signaling control information
MX2020008201A (es) Resolucion de ambiguedades relacionadas con la derivacion de la calidad de celulas de nr.

Legal Events

Date Code Title Description
B06W Patent application suspended after preliminary examination (for patents with searches from other patent authorities) chapter 6.23 patent gazette]