Deep Learning-Based Dynamic Time Division ISAC Beamforming for Vehicular Networks. [PDF]
Sensors (Basel)Lim J, So J.
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Vehicular Digital Communication
, 2017 The vehicles such as cars, trucks and buses were once fairly simple from the electric perspective. The internal combustion engine needed originally very little other electricity than spark to operate. The ever-tightening regulations, especially from emission perspective, have leaded the development to complicated electric systems, most of which ...
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Reinforcement learning based resource allocation scheme for vehicular communication in 5G networks for smart cities. [PDF]
Sci RepBrindha S +3 more
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5G/6G Networks for Wireless Communication and IoT. [PDF]
Sensors (Basel)Suraci C, Araniti G.
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Intelligent Agent for Resource Allocation from Mobile Infrastructure to Vehicles in Dynamic Environments Scalable on Demand. [PDF]
Sensors (Basel)Cumbal R +4 more
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Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapes. [PDF]
MethodsXT S, Devadas RM.
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A performance-optimized V2V task offloading framework for real-time vehicular communication. [PDF]
Sci RepQayyum T +4 more
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Dynamic encryption based secure key management for Vehicle-to-Vehicle communication in autonomous driving. [PDF]
Sci RepNsour A, Ganesan S.
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A Lightweight Key Agreement Protocol for V2X Communications Based on Kyber and Saber. [PDF]
Sensors (Basel)Dai Y, Wang Q, Song X, Wang S.
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