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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
ASN, NS, RCS, SR, RCC
(Joint)		 2018-07-12
10:55		 Hokkaido Hakodate Arena [Poster Presentation] Deep Learning Based RSS Prediction Using RGB-D Camera for mmWave Communications
Kota Nakashima, Yusuke Koda, Koji Yamamoto, Hironao Okamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.) RCC2018-37 NS2018-50 RCS2018-95 SR2018-34 ASN2018-31		 This paper experimentally finds the optimum number of input images of a machine learning-based mmWave received signal st... [more] RCC2018-37 NS2018-50 RCS2018-95 SR2018-34 ASN2018-31
pp.75-76(RCC), pp.81-82(NS), pp.93-94(RCS), pp.85-86(SR), pp.91-92(ASN)
SR 2016-10-27
15:00		 Osaka Osaka Univ. Nakanoshima Center [Technology Exhibit] Realtime Throughput Estimation Using Depth Images for mmWave Communications
Hironao Okamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.), Daisuke Murayama, Katsuya Nakahira (NTT) SR2016-55		 The human blockage problem is an open issue in next-generation wireless access networks using millimeter-wave (mmWave) c... [more] SR2016-55
pp.1-6
RCS, CCS, SR, SRW
(Joint)		 2016-03-03
09:00		 Tokyo Tokyo Institute of Technology Throughput estimation using online machine learning algorithm from depth-images for mmWave communications
Hironao Okamoto, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.) SR2015-96		 In mmWave communications, received signal strength sharply decreases when pedestrians block line-of-sight (LOS) paths. T... [more] SR2015-96
pp.47-52
CQ 2015-09-02
15:10		 Kyoto Kyoto Institute of Technology Throghput estimation using RGB-D camera and machine learning for mmWave communications
Takayuki Nishio, Hironao Okamoto, Koji Yamamoto, Masahiro Morikura (Kyoto Univ.) CQ2015-70		 In mmWave communications, a frame loss rate increases and throughput is decreased sharply when pedestrians block line-of... [more] CQ2015-70
pp.179-184
 Results 1 - 4 of 4  /   
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