Abstract
The Marine Internet of Things (MIoT) has attracted significant attention due to its critical importance. However, in Unmanned Aerial Vehicle (UAV)-assisted MIoT systems, beam misalignment caused by sea wave perturbations significantly degrades system performance. To address this challenge, this study focuses on the active hybrid beamforming design challenge, with sum-rate maximization as the objective in UAV-assisted multi-target MIoT systems under sea wave perturbations. Since the optimization problem is non-convex, this paper splits it into two procedures: firstly, a full-digital beamforming optimization is solved by the Semidefinite Relaxation (SDR) method; secondly, used the full-digital beamforming matrix, manifold optimization theory is applied to derive a suboptimal solution for the hybrid beamforming optimization problem. Simulation results validate the effectiveness and robustness of the proposed design method.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331555221 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
| Event | 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025 - Suzhou, China Duration: 7 Nov 2025 → 9 Nov 2025 |
Publication series
| Name | Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025 |
|---|
Conference
| Conference | 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025 |
|---|---|
| Country/Territory | China |
| City | Suzhou |
| Period | 7/11/25 → 9/11/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
Keywords
- Hybrid Beamforming
- MIoT
- UAV
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