Hierarchical DDPG Based Reinforcement Learning Framework for Multi-Agent Collective Motion With Short Communication Ranges by Jiaxin Li, Peng Yi, Tong Duan, Zhen Zhang, Tao Hu

“…IEEE Transactions on Machine Learning in Communications and Networking…”
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Joint Active and Passive Beamforming for IRS-Assisted Monostatic Backscatter Systems: An Unsupervised Learning Approach by Sahar Idrees, Salman Durrani, Zhiwei Xu, Xiaolun Jia, Xiangyun Zhou

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NeIL: Intelligent Replica Selection for Distributed Applications by Faraz Ahmed, Lianjie Cao, Ayush Goel, Puneet Sharma

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Energy-Efficient Trajectory Planning With Joint Device Selection and Power Splitting for mmWaves-Enabled UAV-NOMA Networks by Ahmad Gendia, Osamu Muta, Sherief Hashima, Kohei Hatano

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Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification by Eslam Eldeeb, Mohammad Shehab, Hirley Alves, Mohamed-Slim Alouini

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Spatio-Temporal Predictive Learning Using Crossover Attention for Communications and Networking Applications by Ke He, Thang Xuan Vu, Lisheng Fan, Symeon Chatzinotas, Bjorn Ottersten

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Online Learning to Cache and Recommend in the Next Generation Cellular Networks by Krishnendu S. Tharakan, B. N. Bharath, Vimal Bhatia

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Reservoir Computing-Based Digital Self-Interference Cancellation for In-Band Full-Duplex Radios by Zhikai Liu, Haifeng Luo, Tharmalingam Ratnarajah

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LLM4WM: Adapting LLM for Wireless Multi-Tasking by Xuanyu Liu, Shijian Gao, Boxun Liu, Xiang Cheng, Liuqing Yang

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A Generalized GNN-Transformer-Based Radio Link Failure Prediction Framework in 5G RAN by Kazi Hasan, Khaleda Papry, Thomas Trappenberg, Israat Haque

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5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-Based Integrated Access and Backhaul by Hongyi Zhang, Zhiqiang Qi, Jingya Li, Anders Aronsson, Jan Bosch, Helena Holmstrom Olsson

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Unsupervised Learning for Reference Signals Overhead Reduction in 3GPP MIMO Systems by Omar M. Sleem, Mohamed Salah Ibrahim, Akshay Malhotra, Mihaela Beluri, Constantino M. Lagoa

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Deep Q-Learning-Based Resource Management in IRS-Assisted VLC Systems by Ahmed Al Hammadi, Lina Bariah, Sami Muhaidat, Mahmoud Al-Qutayri, Paschalis C. Sofotasios, Merouane Debbah

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Randomized Quantization for Privacy in Resource Constrained Machine Learning at-the-Edge and Federated Learning by Ce Feng, Parv Venkitasubramaniam

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Incremental Adversarial Learning for Polymorphic Attack Detection by Ulya Sabeel, Shahram Shah Heydari, Khalil El-Khatib, Khalid Elgazzar

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Online Learning for Intelligent Thermal Management of Interference-Coupled and Passively Cooled Base Stations by Zhanwei Yu, Yi Zhao, Xiaoli Chu, Di Yuan

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Graph Neural Networks Approach for Joint Wireless Power Control and Spectrum Allocation by Maher Marwani, Georges Kaddoum

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Optimizing Resource Fragmentation in Virtual Network Function Placement Using Deep Reinforcement Learning by Ramy Mohamed, Marios Avgeris, Aris Leivadeas, Ioannis Lambadaris

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GenAI-Based Models for NGSO Satellites Interference Detection by Almoatssimbillah Saifaldawla, Flor Ortiz, Eva Lagunas, Abuzar B. M. Adam, Symeon Chatzinotas

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Channel Path Loss Prediction Using Satellite Images: A Deep Learning Approach by Chenlong Wang, Bo Ai, Ruisi He, Mi Yang, Shun Zhou, Long Yu, Yuxin Zhang, Zhicheng Qiu, Zhangdui Zhong, Jianhua Fan

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