| Morning Session I |
Machine Learning in Communications I Chair: Gerhard Wunder, FU Berlin |
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Keynote to Workshop Gerhard Wunder, FU Berlin |
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Low-Complexity Neural Networks for Baseband Signal Processing Guillaume Larue; Mona Dhiflaoui; Louis-Adrien Dufrene; Quentin Lampin; Paul Chollet; Hadi Ghauch; Ghaya Rekaya |
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End-to-end Physical Layer Communication using Bi-directional GRUs for ISI Channels Huihui Wu; Yitian Zhang; Xueqing Zhao; Ningbo Zhu; Mark Coates |
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Sequential Neural Network Decoder For Convolutional Code With Large Block Sizes Xianhua Yu; Zhengdao Wang |
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An Iterative Approach to Syndrome-based Deep Learning Decoding Emmanouil Kavvousanos; Vassilis Paliouras |
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| Morning Session II |
Machine Learning in Communications II
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Deep Learning Approach to Channel Sensing and Hybrid Precoding for TDD Massive MIMO Systems Kareem M. Attiah; Foad Sohrabi; Wei Yu |
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Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers Brian Kim; Yalin E Sagduyu; Tugba Erpek; Kemal Davaslioglu; Sennur Ulukus |
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Deep Learning Based Low-Resolution Hybrid Precoding Design for mmWave MISO Systems Zhu Bo; Rang Liu; Yiqun Guo; Ming Li; Qian Liu |
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Online Learning to Precode for FDD Massive MIMO Systems Daeun Kim; H. Vincent Poor; Namyoon Lee |
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| Afternoon Session I |
Machine Learning in Communications III Chair: Ahmed Alkhateeb, Arizona State University |
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Opening: Channel Prediction and ML Ahmed Alkhateeb, Arizona State University |
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Massive MIMO Channel Prediction: Machine Learning Versus Kalman Filtering Hwanjin Kim; Sucheol Kim; Hyeongtaek Lee; Junil Choi |
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Online Trainable Wireless Link Quality Prediction System using Camera Imagery Sohei Itahara; Takayuki Nishio; Masahiro Morikura; Koji Yamamoto |
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Multiagent Multi-Armed Bandit Schemes for Gateway Selection in UAV Networks Sherief Hashima; Kohei Hatano; Ehab Mahmoud Mohamed |
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Joint TRFI and Deep Learning for Vehicular Channel Estimation Abdul karim Gizzini; Marwa Chafii; Ahmad Nimr; Gerhard P. Fettweis |
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| Afternoon Session II |
Machine Learning in Communications IV Chair: Elisabeth De Carvalho Aalborg |
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Opening: Federated Learning Elisabeth De Carvalho Aalborg |
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Unsupervised Learning for Secure Short-Packet Transmission Under Statistical QoS Constraints Chunhui Li; Changyang She; Nan Yang |
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MAB-based Client Selection for Federated Learning with Uncertain Resources in Mobile Networks Naoya Yoshida; Takayuki Nishio; Masahiro Morikura; Koji Yamamoto |
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Radio Access Scheduling using CMA-ES for Optimized QoS in Wireless Networks Pedro Maia de Sant Ana; Nikolaj Marchenko |
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Estimation of Individual Device Contributions for Incentivizing Federated Learning Takayuki Nishio; Ryoichi Shinkuma; Narayan Mandayam |
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