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Committee Date Time Place Paper Title / Authors Abstract Paper #
IT, RCS, SIP 2023-01-24
12:20		 Gunma Maebashi Terrsa
(Primary: On-site, Secondary: Online)		 A Study on Performance Improvement of Stochastic MIMO Signal Detection Using Variational Bayesian Methods
Hiroki Asumi, Shunsuke Kakuta, Junichiro Hagiwara, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa, Takeo Ohgane (Hokkaido Univ.) IT2022-34 SIP2022-85 RCS2022-213		  [more] IT2022-34 SIP2022-85 RCS2022-213
pp.30-35
RCS 2022-06-16
14:30		 Okinawa University of the Ryukyus, Senbaru Campus and online
(Primary: On-site, Secondary: Online)		 Comparison of Performance and Complexity for different Search Methods in Stochastic MIMO Signal Detection
Hiroki Asumi, Yukiko Kasuga, Kazushi Matsumura, Junichiro Hagiwara, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa, Takeo Ohgane (Hokkaido Univ.) RCS2022-49		 In large-scale MIMO signal detection, the computational complexity increases as the number of antennas increases. We hav... [more] RCS2022-49
pp.150-155
RCS 2021-06-23
09:40		 Online Online A Comparison of Variational Bayesian and Expectation Propagation Methods for Massive MIMO Signal Detection
Hiroki Asumi, Junichiro Hagiwara, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato (Hokkaido Univ.) RCS2021-30		 Signal detection in massive MIMO has difficulty in reducing computational complexity as the number of antennas increases... [more] RCS2021-30
pp.7-12
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