Semantic communication aware reinforcement learning for UAVs intelligent following

Bohao Feng; Yang Zhang

doi:10.1117/12.2684609

21 July 2023 Semantic communication aware reinforcement learning for UAVs intelligent following

Bohao Feng, Yang Zhang

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127171G (2023) https://doi.org/10.1117/12.2684609
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

In order to solve the problem of mission success degradation caused by the obstructed communication of UAVs in the communication uncertain environment, we propose a semantic communication reinforcement learning for UAVs intelligent following method for maintaining UAV communication in the scenario with high interferences to keep following the leader UAV. This method employs a semantic communication model and a leader behavior learning model as the follower intelligence so that the follower can resist communication interference without deploying additional communication anti-jamming devices. The follower using this method continuously follows the leader to improve the probability to complete the task in a communication-restricted environment. In experimental studies, the proposed method effectively improves the task success rate in the event of communication interruptions, which significantly outperforms benchmark methods in complex environments.

Citation Download Citation

Bohao Feng and Yang Zhang "Semantic communication aware reinforcement learning for UAVs intelligent following", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127171G (21 July 2023); https://doi.org/10.1117/12.2684609

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