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Committee Date Time Place Paper Title / Authors Abstract Paper #
RISING
(3rd)		 2021-11-17
11:00		 Tokyo
(Primary: On-site, Secondary: Online)		 An Overloaded IoT Signal Detection Method Using Piecewise Continuous Nonconvex Sparse Regularizer
Atsuya Hirayama (Osaka City Univ.), Kazunori Hayashi (Kyoto Univ.) 		In this talk, we consider the signal detection problem of overloaded massive multi-user multi-input multi-output (MU-MIM... [more]
ITS, WBS, RCC 2020-12-14
09:30		 Online Online An Overloaded MU-MIMO OFDM/SC-CP Signal Detection Method using Non-Convex Sparse Regularizers and Group Sparsity
Ayano Nakai-Kasai (Kyoto Univ.), Atsuya Hirayama, Hiroki Honda, Tetsuya Sasaki, Hideki Yasukawa (Osaka City Univ.), Ryo Hayakawa (Osaka Univ.), Kazunori Hayashi (Kyoto Univ.) WBS2020-8 ITS2020-4 RCC2020-11		 This paper proposes low-latency signal detection methods for overloaded MU-MIMO (Multi-User Multi-Input Multi-Output) OF... [more] WBS2020-8 ITS2020-4 RCC2020-11
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