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Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach.

, , , , , , and . IEEE Access, (2019)

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Energy Efficient Multi-Tenant Resource Slicing in Virtualized Multi-Access Edge Computing., , , , and . APNOMS, page 1-4. IEEE, (2019)A Hopfield Neural Networks Based Mechanism for Coexistence of LTE-U and WiFi Networks in Unlicensed Spectrum., , , and . APNOMS, page 1-6. IEEE, (2019)A matching based coexistence mechanism between eMBB and uRLLC in 5G wireless networks., , , , and . SAC, page 2377-2384. ACM, (2019)Resource Optimized Federated Learning-Enabled Cognitive Internet of Things for Smart Industries., , , , , and . IEEE Access, (2020)Energy Efficient Communication and Computation Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond., , , , , and . IEEE Access, (2020)Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing., , , , , and . IEEE Internet Things J., 9 (23): 24221-24235 (2022)eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach., , , , and . IEEE Commun. Lett., 23 (4): 740-743 (2019)Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks., , , , and . CoRR, (2020)A Chance Constrained Based Formulation for Dynamic Multiplexing of eMBB-URLLC Traffics in 5G New Radio., , , , and . ICOIN, page 108-113. IEEE, (2019)Ruin Theory for User Association and Energy Optimization in Multi-Access Edge Computing., , , , , and . IEEE Trans. Veh. Technol., 72 (9): 12436-12440 (September 2023)