文献
J-GLOBAL ID:202202221449933978
整理番号:22A0958812
非局所的CNNとカリキュラムトレーニングによるLIDARと位置支援ミリ波ビーム選択【JST・京大機械翻訳】
LIDAR and Position-Aided mmWave Beam Selection With Non-Local CNNs and Curriculum Training
著者 (6件):
Zecchin Matteo
(Communication Systems Department, EURECOM, Sophia-Antipolis, France)
,
Mashhadi Mahdi Boloursaz
(5GIC & 6GIC, Institute for Communication Systems (ICS), University of Surrey, Guildford, U.K.)
,
Jankowski Mikolaj
(Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.)
,
Gunduz Deniz
(Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.)
,
Kountouris Marios
(Communication Systems Department, EURECOM, Sophia-Antipolis, France)
,
Gesbert David
(Communication Systems Department, EURECOM, Sophia-Antipolis, France)
資料名:
IEEE Transactions on Vehicular Technology
(IEEE Transactions on Vehicular Technology)
巻:
71
号:
3
ページ:
2979-2990
発行年:
2022年
JST資料番号:
C0244A
ISSN:
0018-9545
CODEN:
ITVTAB
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)