Signal detection method and apparatus based on reinforcement learning for vehicular MIMO communication
AssigneeHyundai Mobis Co., Ltd.
InventorsChung Yong Lee, Chae Hun Im
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Abstract
The present exemplary embodiments provide a reinforcement learning based signal detection apparatus and method for vehicular MIMO communication which flexibly adjust the performance and the complexity by applying the reinforcement learning during the MIMO signal detecting process, improving a trade-off relationship between the performance and the complexity of the MIMO signal detection, and controlling the number of episodes of the reinforcement learning in accordance with the speed of the vehicle.
Claims8
A communication device in vehicular multiple input multiple output (MIMO) communication system, the device comprising a signal processing apparatus having:
- an antenna configured to communicate a signal using a radio frequency;
- and
- a signal processor configured to process the signal by performing reinforcement learning using the signal acquired by the device in motion.
A signal processing method for a communication apparatus in vehicular multiple input multiple output (MIMO) communication system, comprising:
- communicating, by an antenna in the communication apparatus, a signal using a radio frequency;
- and
- processing, at a signal processor in the communication apparatus, the signal by performing reinforcement learning using the signal acquired by the communication apparatus in motion.
Dependencies are inferred from the claim text.