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Title:
INFORMATION PROCESSING METHOD, INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING SYSTEM
Document Type and Number:
WIPO Patent Application WO/2023/152885
Kind Code:
A1
Abstract:
An information processing device 1 comprises: a plurality of first acquisition units 11 that respectively acquire, from a plurality of information collection means, physical world information of a wireless communication area; a second acquisition unit 12 that acquires, from a wireless communication apparatus in the wireless communication area, communication quality information about wireless communications; a plurality of generating/updating units 15 that respectively generate or update each model for respectively predicting, from the physical world information, the communication quality of wireless communications in the wireless communication area; a plurality of processing units 16 that respectively input the current physical world information acquired from each among the plurality of information collection means into each of the models and output a calculation result of each model; an evaluation unit 17 that evaluates the performance of each of the models by comparing the calculation result of each model with the current communication quality of wireless communications actually determined without using the models, and determines, on the basis of the performance evaluation of each of the models, a selection method or synthesis method for the calculation result of each of the models; and an integration unit 18 that integrates the calculation results of the models on the basis of the selection method or synthesis method.

Inventors:
TAKAHASHI KAHOKO (JP)
KUDO RIICHI (JP)
NAGATA HISASHI (JP)
OGAWA TOMOAKI (JP)
Application Number:
PCT/JP2022/005400
Publication Date:
August 17, 2023
Filing Date:
February 10, 2022
Export Citation:
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Assignee:
NIPPON TELEGRAPH & TELEPHONE (JP)
International Classes:
H04W24/00; H04B17/391
Domestic Patent References:
WO2021171342A12021-09-02
WO2021171341A12021-09-02
WO2021064849A12021-04-08
Other References:
工藤理一 他, 深層学習による自律走行ロボットの無線通信品質予測, 信学技報, 14 January 2021, vol. 120, no. 321, SIP2020-80, pages 218-223, (KUDO, Riichi et al. Deep Learning based Link Quality Prediction for Autonomous Mobility Robots. IEICE Technical Report.)
NISHIO TAKAYUKI; OKAMOTO HIRONAO; NAKASHIMA KOTA; KODA YUSUKE; YAMAMOTO KOJI; MORIKURA MASAHIRO; ASAI YUSUKE; MIYATAKE RYO: "Proactive Received Power Prediction Using Machine Learning and Depth Images for mmWave Networks", IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, IEEE SERVICE CENTER, PISCATAWAY., US, vol. 37, no. 11, 1 November 2019 (2019-11-01), US , pages 2413 - 2427, XP011750616, ISSN: 0733-8716, DOI: 10.1109/JSAC.2019.2933763
KUDO RIICHI, COCHRANE MATTHEW, TAKAHASHI KAHOKO, INOUE TAKERU, MIZUNO KOHEI: "Experimental Validation of Link Quality Prediction Using Exact Self-Status of Mobility Robots in Wireless LAN Systems", IEICE TRANSACTION ON COMMUNICATION, COMMUNICATIONS SOCIETY, TOKYO., JP, vol. E103.B, no. 12, 1 December 2020 (2020-12-01), JP , pages 1385 - 1393, XP093084502, ISSN: 0916-8516, DOI: 10.1587/transcom.2020SEP0005
TAKASHI NAGATA, RIICHI KUDO, KEIKO TAKAHASHI, TOMOAKI OGAWA : "Communication quality prediction model selection method based on physical spatial information", IEICE TECHNICAL REPORT, CQ, IEICE, JP, vol. 121, no. 421 (CQ2021-106), 2 March 2022 (2022-03-02), JP, pages 31 - 36, XP009548104
Attorney, Agent or Firm:
MIYOSHI Hidekazu et al. (JP)
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