Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach von Alsenwi, Madyan, Tran, Nguyen H., Bennis, Mehdi, Pandey, Shashi Raj, Bairagi, Anupam Kumar, Hong, Choong Seon

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Resource Optimized Federated Learning-Enabled Cognitive Internet of Things for Smart Industries von Khan, Latif U., Alsenwi, Madyan, Yaqoob, Ibrar, Imran, Muhammad, Han, Zhu, Hong, Choong Seon

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Energy Efficient Communication and Computation Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond von Tun, Yan Kyaw, Kim, Do Hyeon, Alsenwi, Madyan, Tran, Nguyen H., Han, Zhu, Hong, Choong Seon

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Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach von Alsenwi, Madyan, Yaqoob, Ibrar, Pandey, Shashi Raj, Tun, Yan Kyaw, Bairagi, Anupam Kumar, Kim, Lok-won, Hong, Choong Seon

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eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach von Alsenwi, Madyan, Tran, Nguyen H., Bennis, Mehdi, Kumar Bairagi, Anupam, Hong, Choong Seon

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Intelligent and Reliable Millimeter Wave Communications for RIS-Aided Vehicular Networks von Alsenwi, Madyan, Abolhasan, Mehran, Lipman, Justin

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Distributed Learning Framework for eMBB-URLLC Multiplexing in Open Radio Access Networks von Alsenwi, Madyan, Lagunas, Eva, Chatzinotas, Symeon

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Coexistence Mechanism Between eMBB and uRLLC in 5G Wireless Networks von Bairagi, Anupam Kumar, Munir, Md. Shirajum, Alsenwi, Madyan, Tran, Nguyen H., Alshamrani, Sultan S., Masud, Mehedi, Han, Zhu, Hong, Choong Seon

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A Novel Twofold Approach to Enhance NB-IoT MAC Procedure in NTN von Amatetti, Carla, Alsenwi, Madyan, Chougrani, Houcine, Vanelli-Coralli, Alessandro, Palattella, Maria Rita

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Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks von Ei, Nway Nway, Alsenwi, Madyan, Tun, Yan Kyaw, Han, Zhu, Hong, Choong Seon

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A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars von Khan, Latif U., Tun, Yan Kyaw, Alsenwi, Madyan, Imran, Muhammad, Han, Zhu, Hong, Choong Seon

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Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing von Tun, Yan Kyaw, Dang, Tri Nguyen, Kim, Kitae, Alsenwi, Madyan, Saad, Walid, Hong, Choong Seon

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Latency-Sensitive Service Delivery With UAV-Assisted 5G Networks von Pandey, Shashi Raj, Kim, Kitae, Alsenwi, Madyan, Tun, Yan Kyaw, Han, Zhu, Hong, Choong Seon

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Digital Twin for Non-Terrestrial Networks: Vision, Challenges, and Enabling Technologies von Al-Hraishawi, Hayder, Alsenwi, Madyan, Rehman, Junaid ur, Lagunas, Eva, Chatzinotas, Symeon

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Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach von Alsenwi, Madyan, Kim, Kitae, Hong, Choong Seon

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Ruin Theory for User Association and Energy Optimization in Multi-access Edge Computing von Kim, Do Hyeon, Aunas Manzoor, Alsenwi, Madyan, Yan Kyaw Tun, Saad, Walid, Hong, Choong Seon

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Hybrid Compression Techniques for EEG Data Based on Lossy/Lossless Compression Algorithms von Alsenwi, Madyan, Ismail, Tawfik, Darweesh, M. Saeed

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A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars von Khan, Latif U, Tun, Yan Kyaw, Alsenwi, Madyan, Imran, Muhammad, Han, Zhu, Hong, Choong Seon

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Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks von Ei, Nway Nway, Alsenwi, Madyan, Tun, Yan Kyaw, Han, Zhu, Hong, Choong Seon

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Digital Twin for Non-Terrestrial Networks: Vision, Challenges, and Enabling Technologies von Al-Hraishawi, Hayder, Alsenwi, Madyan, Junaid ur Rehman, Lagunas, Eva, Chatzinotas, Symeon

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