Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks by Benoit-Marie Robaglia, Marceau Coupechoux, Dimitrios Tsilimantos

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Point Cloud-Based Proactive Link Quality Prediction for Millimeter-Wave Communications by Shoki Ohta, Takayuki Nishio, Riichi Kudo, Kahoko Takahashi, Hisashi Nagata

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A Flexible Model Compression and Resource Allocation Scheme for Federated Learning by Yiwen Hu, Tingting Liu, Chenyang Yang, Yuanfang Huang, Shiqiang Suo

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Inaugural Editorial by Walid Saad

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Reinforcement-Learning-Based Trajectory Design and Phase-Shift Control in UAV-Mounted-RIS Communications by Tianjiao Sun, Sixing Yin, Li Deng, F. Richard Yu

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Multimodal Collaborative Perception for Dynamic Channel Prediction in 6G V2X Networks by Ghazi Gharsallah, Georges Kaddoum

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Reverse Engineering Segment Routing Policies and Link Costs With Inverse Reinforcement Learning and EM by Kai Wang, Chee Wei Tan

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Closed-Loop Clustering-Based Global Bandwidth Prediction in Real-Time Video Streaming by Sepideh Afshar, Reza Razavi, Mohammad Moshirpour

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A Three-Tier Deep Learning-Based Channel Access Method for WiFi Networks by Yiwei Huang, Kwan-Wu Chin

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Semi-Supervised Learning via Cross-Prediction-Powered Inference for Wireless Systems by Houssem Sifaou, Osvaldo Simeone

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Decentralized Grant-Free mMTC Traffic Multiplexing With eMBB Data Through Deep Reinforcement Learning by Giovanni Di Gennaro, Amedeo Buonanno, Gianmarco Romano, Stefano Buzzi, Francesco A. N. Palmieri

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Unleashing the Potential of Knowledge Distillation for IoT Traffic Classification by Mahmoud Abbasi, Amin Shahraki, Javier Prieto, Angelica Gonzalez Arrieta, Juan M. Corchado

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Paths Optimization by Jointing Link Management and Channel Estimation Using Variational Autoencoder With Attention for IRS-MIMO Systems by Meng-Hsun Wu, Hong-Yunn Chen, Ta-Wei Yang, Chih-Chuan Hsu, Chih-Wei Huang, Cheng-Fu Chou

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ALogSCAN: A Self-Supervised Dual Network for Adaptive and Timely Log Anomaly Detection in Clouds by Mahsa Raeiszadeh, Felipe Estrada-Solano, Roch H. Glitho, Johan Eker, Raquel A. F. Mini

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Agent Selection Framework for Federated Learning in Resource-Constrained Wireless Networks by Maria Raftopoulou, Jose Mairton B. da Silva, Remco Litjens, H. Vincent Poor, Piet van Mieghem

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Autonomous Intelligent VNF Profiling for Future Intelligent Network Orchestration by Nasim Ferdosian, Shadi Moazzeni, Pratchaya Jaisudthi, Yifei Ren, Himanshu Agrawal, Dimitra Simeonidou, Reza Nejabati

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Unsupervised Learning for Distributed Downlink Power Allocation in Cell-Free mMIMO Networks by Mattia Fabiani, Asmaa Abdallah, Abdulkadir Celik, Omer Haliloglu, Ahmed M. Eltawil

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Deep Learning-Based Data-Assisted Channel Estimation and Detection by Hamidreza Hashempoor, Wan Choi

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Effective 3C Resource Utilization and Fair Allocation Strategy for Multi-Task Federated Learning by Chaofeng Zhang, Mianxiong Dong, Kaoru Ota

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Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach by Mehdi Sattari, Hao Guo, Deniz Gunduz, Ashkan Panahi, Tommy Svensson

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