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Interference-aware resource allocation for D2D underlaid cellular network using SCMA: A hypergraph approach.

, , , , , and . WCNC, page 1-6. IEEE, (2016)

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Joint Mode Selection and Resource Allocation for D2D-Enabled NOMA Cellular Networks., , , , , and . IEEE Trans. Veh. Technol., 68 (7): 6721-6733 (2019)Dynamical phase transition in quantum neural networks with large depth., , , , and . CoRR, (2023)Modeling SCMA in D2D underlaid cellular network., , , , and . ICCC, page 1-6. IEEE, (2015)UAV-Assisted Networks With Underlaid Ambient Backscattering: Modeling and Outage Analysis., , , , , and . GLOBECOM, page 4947-4952. IEEE, (2022)Embedding Learning in Hybrid Quantum-Classical Neural Networks., , , , , , and . QCE, page 79-86. IEEE, (2022)UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning., , , , , and . WCSP, page 683-688. IEEE, (2023)Interference-aware Resource Allocation in Satellite Integrated Terrestrial Networks., , , , and . ICCC, page 654-659. IEEE, (2022)Enabling Efficient Emulation of Internet-of-Vehicles on a Single Machine: Practices and Lessons., , , , , , , and . HCI (47), volume 1836 of Communications in Computer and Information Science, page 65-72. Springer, (2023)Oneiros-OpenDS: An Interactive and Extensible Toolkit for Agile and Automated Developments of Complicated Driving Scenes., , , , , , and . HCI (34), volume 13335 of Lecture Notes in Computer Science, page 88-107. Springer, (2022)Wireless Backhaul: Intrinsic Bottleneck of Ultra-Dense Networks?, , , , and . GLOBECOM, page 1-6. IEEE, (2019)