WO2022079832A1 - Dispositif de prédiction d'informations de communication, procédé de prédiction d'informations de communication et programme de prédiction d'informations de communication - Google Patents

Dispositif de prédiction d'informations de communication, procédé de prédiction d'informations de communication et programme de prédiction d'informations de communication Download PDF

Info

Publication number
WO2022079832A1
WO2022079832A1 PCT/JP2020/038785 JP2020038785W WO2022079832A1 WO 2022079832 A1 WO2022079832 A1 WO 2022079832A1 JP 2020038785 W JP2020038785 W JP 2020038785W WO 2022079832 A1 WO2022079832 A1 WO 2022079832A1
Authority
WO
WIPO (PCT)
Prior art keywords
communication
information
machine learning
terminal device
learning block
Prior art date
Application number
PCT/JP2020/038785
Other languages
English (en)
Japanese (ja)
Inventor
理一 工藤
馨子 高橋
友規 村上
匡史 岩渕
陸 大宮
智明 小川
Original Assignee
日本電信電話株式会社
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 日本電信電話株式会社 filed Critical 日本電信電話株式会社
Priority to PCT/JP2020/038785 priority Critical patent/WO2022079832A1/fr
Priority to JP2022556753A priority patent/JP7439947B2/ja
Publication of WO2022079832A1 publication Critical patent/WO2022079832A1/fr

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/04Arrangements for maintaining operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente invention comprend : une unité de génération d'informations environnementales pour générer des informations environnementales sur un environnement de dispositif d'au moins l'un parmi un dispositif de terminal et un dispositif de destination de communication sans fil pour le dispositif de terminal ; une unité de communication pour générer des informations de communication sur une communication sans fil pour le dispositif de terminal ; une unité de génération de modèle d'environnement de communication pour générer, en utilisant des informations d'entrée comprenant les informations environnementales, un modèle d'environnement de communication pour valoriser des blocs d'apprentissage automatique formés par les mêmes coefficients et structures et délivrer en sortie des informations de communication correspondant à une pluralité de conditions temporelles ; et une unité d'utilisation de modèle pour prédire des informations de communication sur le dispositif de terminal en utilisant les informations environnementales de communication générées. De cette manière, des paramètres liés à la communication peuvent être efficacement délivrés dans une pluralité de conditions temporelles.
PCT/JP2020/038785 2020-10-14 2020-10-14 Dispositif de prédiction d'informations de communication, procédé de prédiction d'informations de communication et programme de prédiction d'informations de communication WO2022079832A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/JP2020/038785 WO2022079832A1 (fr) 2020-10-14 2020-10-14 Dispositif de prédiction d'informations de communication, procédé de prédiction d'informations de communication et programme de prédiction d'informations de communication
JP2022556753A JP7439947B2 (ja) 2020-10-14 2020-10-14 通信情報予測装置、通信情報予測方法、および通信情報予測プログラム

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2020/038785 WO2022079832A1 (fr) 2020-10-14 2020-10-14 Dispositif de prédiction d'informations de communication, procédé de prédiction d'informations de communication et programme de prédiction d'informations de communication

Publications (1)

Publication Number Publication Date
WO2022079832A1 true WO2022079832A1 (fr) 2022-04-21

Family

ID=81208954

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2020/038785 WO2022079832A1 (fr) 2020-10-14 2020-10-14 Dispositif de prédiction d'informations de communication, procédé de prédiction d'informations de communication et programme de prédiction d'informations de communication

Country Status (2)

Country Link
JP (1) JP7439947B2 (fr)
WO (1) WO2022079832A1 (fr)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017211799A (ja) * 2016-05-25 2017-11-30 キヤノン株式会社 情報処理装置および情報処理方法

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017211799A (ja) * 2016-05-25 2017-11-30 キヤノン株式会社 情報処理装置および情報処理方法

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
RIICHI KUDO, KAORUKO TAKAHASHI, TAKESHI INOUE, KOHEI MIZUNO: "Possibility of next-generation wireless communication system by smart connected device opened by machine learning [Potentiality of machine learning based next generation wireless communication systems for smart connected devices]", IEICE TECHNICAL REPORT, vol. 119, no. 183 (CQ2019-72), 20 August 2019 (2019-08-20), JP, pages 79 - 84, XP009536989 *
RIICHI KUDO, MATTHEW COCHRANE, KAORUKO TAKAHASHI, TAKESHI INOUE, KOHEI MIZUNO: "Wireless link quality prediction of the locomotion robot in wireless LAN systems", IEICE TECHNICAL REPORT, vol. 119, no. 406 (SeMI2019-103), 23 January 2020 (2020-01-23), JP, pages 23 - 28, XP009536988 *

Also Published As

Publication number Publication date
JPWO2022079832A1 (fr) 2022-04-21
JP7439947B2 (ja) 2024-02-28

Similar Documents

Publication Publication Date Title
Huang et al. Deep reinforcement learning for UAV navigation through massive MIMO technique
CN113162679B (zh) 基于ddpg算法的irs辅助无人机通信联合优化方法
Dahrouj et al. An overview of machine learning-based techniques for solving optimization problems in communications and signal processing
Callegaro et al. Optimal edge computing for infrastructure-assisted UAV systems
Huang et al. Reactive 3D deployment of a flying robotic network for surveillance of mobile targets
CN103314543A (zh) 对用于优化无线通信系统的操作的动态环境参数的预测
Shrestha et al. Spectrum surveying: Active radio map estimation with autonomous UAVs
Olasupo et al. A framework for optimizing the deployment of wireless sensor networks
US11284361B2 (en) System and method for device-to-device communication
Luo et al. A two-step environment-learning-based method for optimal UAV deployment
Chiroma et al. Large scale survey for radio propagation in developing machine learning model for path losses in communication systems
Nasr-Azadani et al. Single-and multiagent actor–critic for initial UAV’s deployment and 3-D trajectory design
Hazarika et al. RADiT: Resource allocation in digital twin-driven UAV-aided internet of vehicle networks
Eskandari et al. Deep Reinforcement Learning Based Joint 3D Navigation and Phase Shift Control for Mobile Internet of Vehicles Assisted by RIS-equipped UAVs
Parvaresh et al. A continuous actor–critic deep Q-learning-enabled deployment of UAV base stations: Toward 6G small cells in the skies of smart cities
US20220352995A1 (en) Communication system and terminal
Jailton et al. Relay positioning strategy for traffic data collection of multiple unmanned aerial vehicles using hybrid optimization systems: A FANET-based case study
Lin et al. Reinforcement learning based UAV trajectory and power control against jamming
Nasr-Azadani et al. Distillation and ordinary federated learning actor-critic algorithms in heterogeneous UAV-aided networks
Jia et al. Online V2X scheduling for raw-level cooperative perception
WO2022079832A1 (fr) Dispositif de prédiction d'informations de communication, procédé de prédiction d'informations de communication et programme de prédiction d'informations de communication
WO2022079834A1 (fr) Dispositif de prédiction d'informations de communication, procédé de prédiction d'informations de communication et programme de prédiction d'informations de communication
WO2022079833A1 (fr) Dispositif de prédiction d'informations de communication, procédé de prédiction d'informations de communication et programme de prédiction d'informations de communication
Petrolo et al. ASTRO: A system for off-grid networked drone sensing missions
Liang et al. Towards trajectory prediction-based uav deployment in smart transportation systems

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20957661

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2022556753

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20957661

Country of ref document: EP

Kind code of ref document: A1