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Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS 2024-06-19
(Primary: On-site, Secondary: Online)
A Double Deep Q Network Based Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Applications
Seiya Sugiyama (UEC), Keigo Makizoe, Maki Arai, Mikio Hasegawa (TUS), Ohtsuki Tomoaki (Keio Univ.), Li Aohan (UEC)
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] Investigation of Ultra-Fast Beam Selection Optimization Method Based on Ising Model
Naganuma Shunta, Fujita Tsukumo, Arai Maki (Tokyo Univ. of Science), Li Aohan (The Univ. of Electro-Communications), Hasegawa Mikio (Tokyo Univ. of Science)
The Ising model is a mathematical model that represents the spin interactions of microscopic components of a substance. ... [more]
CCS 2023-03-26
Hokkaido RUSUTSU RESORT Scalable Channel Allocation in Downlink NOMA Using Parallel Array of Laser Chaos Decision-Maker
Masaki Sugiyama (TUS), Li Aohan (UEC), Makoto Naruse (UTokyo), Mikio Hasegawa (TUS) CCS2022-79
Non-orthogonal multiple access (NOMA) is a technology that allows multiple users to share the same channel with appropri... [more] CCS2022-79
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