Cite
Machine Learning Enables Radio Resource Allocation in the Downlink of Ultra-Low Latency Vehicular Networks
MLA
Xinyuan Wang, et al. “Machine Learning Enables Radio Resource Allocation in the Downlink of Ultra-Low Latency Vehicular Networks.” IEEE Access, vol. 10, Jan. 2022, pp. 44710–23. EBSCOhost, https://doi.org/10.1109/ACCESS.2022.3168986.
APA
Xinyuan Wang, Yingze Wang, Qimei Cui, Kwang-Cheng Chen, & Wei Ni. (2022). Machine Learning Enables Radio Resource Allocation in the Downlink of Ultra-Low Latency Vehicular Networks. IEEE Access, 10, 44710–44723. https://doi.org/10.1109/ACCESS.2022.3168986
Chicago
Xinyuan Wang, Yingze Wang, Qimei Cui, Kwang-Cheng Chen, and Wei Ni. 2022. “Machine Learning Enables Radio Resource Allocation in the Downlink of Ultra-Low Latency Vehicular Networks.” IEEE Access 10 (January): 44710–23. doi:10.1109/ACCESS.2022.3168986.