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Dear Editor, This letter studies the communication-aware mobile relaying via an autonomous underwater vehicle (AUV) for minimal wait time. Compared with the analysis-based channel prediction solution, the proposed discrete Kirchhoff approximation solution has a higher estimation accuracy. Different with the deep learning (DL), a semi-supervised broad learning system (BLS) based relaying controller can reduce training time. Major contributions of this letter lie in two aspects: 1) Construct a BLS-based channel estimator with obstacle scattering effect, where the accurate estimated channel can be obtained with low computational cost; 2) Design a semi-supervised BLS based relay controller, such that average wait time can be minimized.
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Cao et al. (2024) studied this question.
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