- WS02-S1 Keynote 1 and Paper Session
* [Keynote Prof. Houbing Herbert Song, University of Maryland， Baltimore, USA, 08.30 - 09.00 AM.]
* Paper Session：May 28, 2023 09:00 CEST - May 28, 2023 11:00 CEST
- Deep Learning for Probabilistic Interference Predictions in mmWave Networks
- Authors: Mohamed Marzban; Wooseok Nam; Tao Luo; Arumugam Kannan; Taesang Yoo
- Environment Semantic Aided Communication: A Real World Demonstration for Beam Prediction
- Authors: Shoaib Imran; Gouranga Charan; Ahmed Alkhateeb
- Beam Management Driven by Radio Environment Maps in O-RAN Architecture
- Authors: Marcin Dominik Hoffmann; Pawel Kryszkiewicz
- AMP-SBL Unfolding for Wideband MmWave Massive MIMO Channel Estimation
- Authors: Jiabao Gao; Caijun Zhong; Geoffrey Ye Li
- Deep Reinforcement Learning Based Joint Downlink Beamforming and RIS Configuration in RIS-aided MU-MISO Systems Under Hardware Impairments and Imperfect CSI
- Authors: Baturay Saglam; Doğa Gürgünoğlu; Suleyman Serdar Kozat
- A Novel Multi-Agent Deep Reinforcement Learning-enabled Distributed Power Allocation Scheme for mmWave Cellular Networks
- Authors: Xiang Zhang; Arupjyoti (Arup) Bhuyan; Sneha Kumar Kasera; Mingyue Ji
- Cascaded binary classifiers for blind Beam Alignment in mmWave MIMO using one-bit quantization
- Authors: Aymen Ktari; Hadi Ghauch; Ghaya Rekaya
- WS02-S2: Paper Session
May 28, 2023 11:30 CEST - May 28, 2023 13:00 CEST
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Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks
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Authors: Waqar Aziz; Iacovos Ioannou; Marios Lestas; Vasos Vassiliou 1
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3D Ray Reconstruction Method Based on Adaptive Conditional Variational Autoencoders
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Authors: Panpan Shi; Kai Li; Jun Yang; Yang Yang; Jinning Su; Jinhan Guo
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- Reinforcement Learning-Based Fountain Codes for Latency-Sensitive Transmission
- Authors: S. M. Mahdi Shahabi; Yirun Zhang; Mohammad Shikh-Bahaei
- Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes
- Authors: Lili Chen; Jingge Zhu; Jamie S Evans
- Machine Learning-Assisted Codebook Design for MMSE Channel Estimation
- Authors: Xiaowen Tian; Yeqing Hu; Yang Li; Tiexing Wang; Jianzhong Zhang
- WS02-S3: Paper Session
May 28, 2023 14:30 CEST - May 28, 2023 16:00 CEST
- Fairness-based Data Rate Control For Channel Congestion Mitigation in Vehicular Communications
- Authors: Lan-Huong Nguyen; Van-Linh Nguyen; Jian-Jhih Kuo
- Actor-Critic Based Back-off Algorithm for Massive Machine-Type Communication
- Authors: Xin Gao; Zhihong Qian; Mingtong Xie; Xue Wang
- RNN-based Robust Smartphone Indoor Localization on Ultra-wideband DL-TDOA
- Authors: Sagnik Bhattacharya; Junyoung Choi
- B-DT: A Bagged-Decision Tree Detection and Characterization of the IoT-SCADA Network Communication Traffic
- Authors: Love Allen Ahakonye; Cosmas Ifeanyi Nwakanma; Jae Min Lee; Dong Seong Kim
- Comparative Study of Machine Learning Techniques for Detecting GPS Spoofing Attacks on Mission Critical Military IoT Devices
- Authors: Hassan El Alami; Kendal Hall; Danda B. Rawat
- WS02-S4: Paper Session
May 28, 2023 16:30 CEST - May 28, 2023 18:36 CEST
- Uninterrupted Machine Learning Predictions for Network Control Loops
- Authors: Andrea Francini; Dan Scarafoni; Edward Grinshpun
- Reinforcement Learning for Resource Allocation with Periodic Traffic Patterns
- Authors: Zheyu Chen; Kin K. Leung; Shiqiang Wang; Leandros Tassiulas; Kevin S Chan; Patrick Baker
- TraceNet: Operation Aware Root Cause Localization of Microservice System Anomalies
- Authors: Jingjing Yang; Yuchun Guo; Yishuai Chen; Yongxiang Zhao
- Cache Policy Design via Reinforcement Learning for Cellular Networks in Non-Stationary Environment
- Authors: Ashvin Srinivasan; Mohsen Amidzadeh; Junshan (Joshua) Zhang; Olav Tirkkonen
- Joint Communication and Learning Design of Differential Privacy for Federated Learning over Multi-cell Networks
- Authors: Licheng Lin; Zhouxiang Zhao; Zhaohui Yang; Zhaoyang Zhang
- Reinforcement Learning-enabled Auctions for Self-Healing in Service Function Chaining
- Authors: Marios Avgeris; Aris Leivadeas; Ioannis Lambadaris
- Online Bipartite Matching for HAP Access in Space-Air-Ground Integrated Networks using Graph Neural Network-Enhanced Reinforcement Learning
- Authors: Yuejiao Xie; Guanchong Niu; Man-On Pun; Zhu Han
