Learning Radio Environments by Differentiable Ray Tracing by Jakob Hoydis, Faycal Ait Aoudia, Sebastian Cammerer, Florian Euchner, Merlin Nimier-David, Stephan Ten Brink, Alexander Keller

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Attention-Aided Outdoor Localization in Commercial 5G NR Systems by Guoda Tian, Dino Pjanic, Xuesong Cai, Bo Bernhardsson, Fredrik Tufvesson

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Constrained Federated Learning for AoI-Limited SFC in UAV-Aided MEC for Smart Agriculture by Mohammad Akbari, Aisha Syed, W. Sean Kennedy, Melike Erol-Kantarci

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A Machine Learning Aided Reference-Tone-Based Phase Noise Correction Framework for Fiber-Wireless Systems by Guo Hao Thng, Said Mikki

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Recursive GNNs for Learning Precoding Policies With Size-Generalizability by Jia Guo, Chenyang Yang

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Private Collaborative Edge Inference via Over-the-Air Computation by Selim F. Yilmaz, Burak Hasircioglu, Li Qiao, Deniz Gunduz

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Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing by Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas, Wallace A. Martins, Geoffrey Eappen, Saed Daoud, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas

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Device-Based Cellular Throughput Prediction for Video Streaming: Lessons From a Real-World Evaluation by Darijo Raca, Ahmed H. Zahran, Cormac J. Sreenan, Rakesh K. Sinha, Emir Halepovic, Vijay Gopalakrishnan

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A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks by Qing An, Santiago Segarra, Chris Dick, Ashutosh Sabharwal, Rahman Doost-Mohammady

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Hierarchically Federated Learning in Wireless Networks: D2D Consensus and Inter-Cell Aggregation by Jie Zhang, Li Chen, Yunfei Chen, Xiaohui Chen, Guo Wei

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Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network by Chi Nguyen, Tiep M. Hoang, Adnan A. Cheema

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Fair Probabilistic Multi-Armed Bandit With Applications to Network Optimization by Zhiwu Guo, Chicheng Zhang, Ming Li, Marwan Krunz

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Causally-Aware Reinforcement Learning for Joint Communication and Sensing by Anik Roy, Serene Banerjee, Jishnu Sadasivan, Arnab Sarkar, Soumyajit Dey

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Polarization-Aware Channel State Prediction Using Phasor Quaternion Neural Networks by Anzhe Ye, Haotian Chen, Ryo Natsuaki, Akira Hirose

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Deep Joint Source Channel Coding for Privacy-Aware End-to-End Image Transmission by Mehdi Letafati, Seyyed Amirhossein Ameli Kalkhoran, Ecenaz Erdemir, Babak Hossein Khalaj, Hamid Behroozi, Deniz Gunduz

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A Novel Blockchain-Enabled Federated Learning Scheme for IoT Anomaly Detection by Van-Doan Nguyen, Abebe Diro, Naveen Chilamkurti, Will Heyne, Khoa Tran Phan

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Congruent Learning for Self-Regulated Federated Learning in 6G by Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Adam Orucu, Masoumeh Ebrahimi, Andreas Johnsson

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Evaluation Metrics and Methods for Generative Models in the Wireless PHY Layer by Michael Baur, Nurettin Turan, Simon Wallner, Wolfgang Utschick

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Energy Minimization for Federated Learning Based Radio Map Construction by Fahui Wu, Yunfei Gao, Lin Xiao, Dingcheng Yang, Jiangbin Lyu

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Game Strategies for Data Transfer Infrastructures Against ML-Profile Exploits by Nageswara S. V. Rao, Chris Y. T. Ma, Fei He

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