Deep-Learning-Based Radio Channel Prediction for Vehicle-to-Vehicle Communications [Project Summary]
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2024-05-31
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Abstract:Driver-assistance systems are essential to reduce accidents and improve energy efficiency through efficient convoying. To improve their effectiveness, it is important that vehicles are able to communicate with each other, informing each other of their intentions, and warning each other of obstacles or cross traffic that only some of the vehicles might see. However, since such communication must be done wirelessly, reliability and latency of the communication might become an issue. The objective of this project is to improve these aspects of the communication, by means of improved radio channel prediction.
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