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A Convolutional Attention Based Deep Learning Solution for 5G UAV Network Attack Recognition over Fading Channels and Interference.

, , , , , , , and . VTC Fall, page 1-5. IEEE, (2022)

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Deep Attention Recognition for Attack Identification in 5G UAV scenarios: Novel Architecture and End-to-End Evaluation., , , , , , , and . CoRR, (2023)A Convolutional Attention Based Deep Network Solution for UAV Network Attack Recognition over Fading Channels and Interference., , , , , , , and . CoRR, (2022)Design and Experimental Validation of a Software-Defined Radio Access Network Testbed with Slicing Support., , , , , , and . Wirel. Commun. Mob. Comput., (2019)ns-3 and 5G-LENA extensions to support MIMO., , , and . CoRR, (2022)Enhancing 5G QoS Management for XR Traffic Through XR Loopback Mechanism., , , , , and . IEEE J. Sel. Areas Commun., 41 (6): 1772-1786 (June 2023)System analysis of QoS schedulers for XR traffic in 5G NR., , , , , and . Simul. Model. Pract. Theory, (May 2023)Calibration of the 5G-LENA system level simulator in 3GPP reference scenarios., , , and . Simul. Model. Pract. Theory, (2022)RAN slicing for multi-tenancy support in a WLAN scenario., , , and . NetSoft, page 1-2. IEEE, (2017)A new RAN slicing strategy for multi-tenancy support in a WLAN scenario., , , , and . NetSoft, page 64-70. IEEE, (2018)Deep Attention Recognition for Attack Identification in 5G UAV Scenarios: Novel Architecture and End-to-End Evaluation., , , , , , , and . IEEE Trans. Veh. Technol., 73 (1): 131-146 (January 2024)