• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 121 matches

• 2024
• 
  Megumi Kaneko, Thi Ha Ly Dinh, Yousef N. Shnaiwer, Kenichi Kawamura, Daisuke Murayama, Yasushi Takatori:
  A Multi-Agent Risk-Averse Reinforcement Learning Method for Reliability Enhancement in Sub-6GHz/mmWave Mobile Networks. IEEE Wirel. Commun. Lett. 13(10): 2657-2661 (2024)
• 
  Charmae Franchesca Mendoza, Megumi Kaneko, Markus Rupp, Stefan Schwarz:
  Accelerated Deep Reinforcement Learning for Uplink Power Control in a Dynamic Cell-Free Massive MIMO Network. IEEE Wirel. Commun. Lett. 13(6): 1710-1714 (2024)
• 
  Diego Maldonado, Megumi Kaneko, Juan A. Fraire, Alexandre Guitton, Oana Iova, Hervé Rivano:
  Enhancing LR-FHSS Scalability Through Advanced Sequence Design and Demodulator Allocation. CoRR abs/2407.03490 (2024)
• 2023
• 
  Yousef N. Shnaiwer, Megumi Kaneko:
  Minimizing IoT Energy Consumption by IRS-Aided UAV Mobile Edge Computing. IEEE Netw. Lett. 5(1): 16-20 (2023)
• 
  Williams Paul Nwadiugwu, Waleed Ejaz, Megumi Kaneko, Alagan Anpalagan:
  Neural-Network-Assisted Packet Accelerators for Internet of Things Network Systems. IEEE Internet Things J. 10(17): 15238-15251 (2023)
• 
  Yousef N. Shnaiwer, Nour Kouzayha, Mudassir Masood, Megumi Kaneko, Tareq Y. Al-Naffouri:
  Multihop Task Routing in UAV-Assisted Mobile-Edge Computing IoT Networks With Intelligent Reflective Surfaces. IEEE Internet Things J. 10(8, April 15): 7174-7188 (2023)
• 
  Megumi Kaneko, Thi Ha Ly Dinh, Kenichi Kawamura, Takatsune Moriyama, Yasushi Takatori:
  Wireless Multi-Interface Connectivity with Deep Learning-Enabled User Devices: An Energy Efficiency Perspective. IEEE Netw. 37(3): 132-139 (2023)
• 
  Hugo De Oliveira, Megumi Kaneko, Lila Boukhatem, Ellen Hidemi Fukuda:
  Deep Reinforcement Learning-Aided Optimization of Multi-Interface Allocation for Short-Packet Communications. IEEE Trans. Cogn. Commun. Netw. 9(3): 738-753 (2023)
• 
  Xiaoqing Zhang, Megumi Kaneko, Van An Le, Yusheng Ji:
  Deep Reinforcement Learning-based Uplink Power Control in Cell-Free Massive MIMO. CCNC 2023: 567-572
• 
  Jiali Wang, Megumi Kaneko:
  User Grouping and Switch Network Optimization for Energy-Efficient Multi-User Terahertz Communications. GLOBECOM 2023: 5799-5804
• 
  Jen-Tse Chen, Megumi Kaneko, Alexandre Guitton:
  An Auction-Based Assignment Method for LoRa Multi-Gateway Networks. ICC 2023: 2191-2196
• 
  Yousef N. Shnaiwer, Megumi Kaneko:
  Outage Probability Minimization in a Multi-User RIS-Assisted RSMA System. VCC 2023: 1-6
• 2022
• 
  Yoshiharu Yamagishi, Tatsuya Kaneko, Megumi Akai-Kasaya, Tetsuya Asai:
  Holmes: A Hardware-Oriented Optimizer Using Logarithms. IEICE Trans. Inf. Syst. 105-D(12): 2040-2047 (2022)
• 
  Thi Ha Ly Dinh, Megumi Kaneko, Kaito Fujii:
  Device Selection and Beamforming Optimization in Large-Scale mmWave IoT Networks. IEEE Internet Things J. 9(24): 25395-25408 (2022)
• 
  Weixuan Xiao, Megumi Kaneko, Nancy El Rachkidy, Alexandre Guitton:
  Integrating LoRa Collision Decoding and MAC Protocols for Enabling IoT Massive Connectivity. IEEE Internet Things Mag. 5(3): 166-173 (2022)
• 
  Alexandre Guitton, Megumi Kaneko:
  Multi-Gateway Demodulation in LoRa. GLOBECOM 2022: 2008-2013
• 
  Thi Ha Ly Dinh, Megumi Kaneko, Kenichi Kawamura, Takatsune Moriyama, Yasushi Takatori:
  Improving Reliability by Risk-Averse Reinforcement Learning over Sub6GHz/mmWave Integrated Networks. ICC 2022: 3178-3183
• 
  Minami Kaneko, Yuya Niki, Kenji Takeda, Megumi Aibara, Fumio Uchikoba:
  Development of MEMS Flow Path for Miniature Waste Heat Utilization Generator. IECON 2022: 1-6
• 2021
• 
  Qingbi Liao, Megumi Kaneko:
  Global Energy Efficiency Optimization of a Ka-Band Multi-Beam LEO Satellite Communication System. IEEE Access 9: 55232-55243 (2021)
• 
  Mikihito Hayakawa, Kenji Takeda, Motokuni Ishibashi, Kaito Tanami, Megumi Aibara, Minami Kaneko, Ken Saito, Fumio Uchikoba:
  Pulse-type hardware neural network mimicking spinal cord function. Artif. Life Robotics 26(4): 450-456 (2021)
• 
  Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, Hirantha Abeysekera, Yasushi Takatori:
  Distributed user-to-multiple access points association through deep learning for beyond 5G. Comput. Networks 197: 108258 (2021)
• 
  Duc Thang Ha, Lila Boukhatem, Megumi Kaneko, Nhan Nguyen-Thanh:
  Joint beamforming and user association with reduced CSI signaling in mobile environments: A Deep Q-learning approach. Comput. Networks 197: 108291 (2021)
• 
  Thi Ha Ly Dinh, Megumi Kaneko, Ellen Hidemi Fukuda, Lila Boukhatem:
  Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks With Outdated Channel Knowledge. IEEE Trans. Green Commun. Netw. 5(1): 146-159 (2021)
• 
  Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, Hirantha Abeysekera, Yasushi Takatori:
  Deep Reinforcement Learning-based User Association in Sub6GHz/mmWave Integrated Networks. CCNC 2021: 1-7
• 
  Sacha Leblanc, Megumi Kaneko:
  Deep Learning-based Sub-6GHz/mmWave Partitioning for Short-Packet Communications. ICC Workshops 2021: 1-6
• 
  Minami Kaneko, Yuya Kobayashi, Kenji Takeda, Megumi Aibara, Katsuyuki Tanaka, Fumio Uchikoba:
  Research and Development of MEMS Turbine Generator for Miniature Organic Rankine Cycle System. ISIE 2021: 1-6
• 
  Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, Yasushi Takatori:
  Towards an Energy-Efficient DQN-based User Association in Sub6GHz/mmWave Integrated Networks. MSN 2021: 645-652
• 2020
• 
  Megumi Kaneko, Itsikiantsoa Randrianantenaina, Hayssam Dahrouj, Hesham ElSawy, Mohamed-Slim Alouini:
  On the Opportunities and Challenges of NOMA-Based Fog Radio Access Networks: An Overview. IEEE Access 8: 205467-205476 (2020)
• 
  Takahiro Matsuda, Megumi Kaneko, Takefumi Hiraguri, Kentaro Nishimori, Tomotaka Kimura, Akihiro Nakao:
  Adaptive Direction Control for UAV Full-Duplex Relay Networks Using Multiple Directional Antennas. IEEE Access 8: 85083-85093 (2020)
• 
  Bipun Man Pati, Megumi Kaneko, Attaphongse Taparugssanagorn:
  A Deep Convolutional Neural Network Based Transfer Learning Method for Non-Cooperative Spectrum Sensing. IEEE Access 8: 164529-164545 (2020)

skipping 91 more matches