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Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI 2022-01-21
(Primary: On-site, Secondary: Online)
[Short Paper] Study of ACK-Less Rate Adaptation for IEEE 802.11bc Using Deep Reinforcement Learning
Takamochi Kanda (Kyoto Univ.), Yusuke Koda (Univ. of Oulu), Yuto Kihira, Koji Yamamoto (Kyoto Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.) SeMI2021-74
This paper introduces an ACK-less rate adaptation to locational variation of recipient stations (STAs) for broadcast wir... [more] SeMI2021-74
Online Online [Poster Presentation] Adversarial Reinforcement Learning-based Robust Access Point Coordination Against Uncoordinated Interference
Yuto Kihira, Yusuke Koda, Koji Yamamoto (Kyoto Univ.), Takayuki Nishio (Tokyo Tech.), Masahiro Morikura (Kyoto Univ.) SeMI2020-25
 [more] SeMI2020-25
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