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Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks.

, , , and . Proc. IEEE, 108 (2): 341-356 (2020)

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How to approach zero-forcing under RF chain limitations in large mmWave multiuser systems?, , , and . ICCC, page 518-522. IEEE, (2014)Graph-Based Resource Sharing in Vehicular Communication., , , , and . IEEE Trans. Wirel. Commun., 17 (7): 4579-4592 (2018)Graph-Based Radio Resource Management for Vehicular Networks., , , , and . ICC, page 1-6. IEEE, (2018)Cooperative Distributed Resource Allocation in Heterogeneous Networks With D2D Communication., , , , , and . IEEE Trans. Veh. Technol., 72 (12): 16426-16440 (December 2023)AoI-Driven Power Allocation and Batch Sampling Control for V2V Status Update Communications., , , , and . IEEE Trans. Ind. Informatics, 20 (1): 291-302 (January 2024)On Coordinated Multi-point Transmission with Partial Channel State Information Via Delayed Feedback., and . Wireless Personal Communications, 75 (4): 2103-2119 (2014)Framework of Channel Estimation for Hybrid Analog-and-Digital Processing Enabled Massive MIMO Communications., , , and . CoRR, (2017)Decentralized Federated Learning with Unreliable Communications., , and . CoRR, (2021)Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel., , , and . CoRR, (2019)Toward Intelligent Vehicular Networks: A Machine Learning Framework., , and . IEEE Internet of Things Journal, 6 (1): 124-135 (2019)