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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/95746完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 逄愛君 | zh_TW |
| dc.contributor.advisor | Ai-Chun Pang | en |
| dc.contributor.author | 陳富春 | zh_TW |
| dc.contributor.author | Fu-Chun Chen | en |
| dc.date.accessioned | 2024-09-16T16:13:39Z | - |
| dc.date.available | 2024-09-17 | - |
| dc.date.copyright | 2024-09-16 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-08-02 | - |
| dc.identifier.citation | Bibliography
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/95746 | - |
| dc.description.abstract | 無人機由於具有高移動性、易於使用、且可因應需求裝載不同設備，因此被廣泛運用於不同情境，如物流運輸、區域監控、資料蒐集等等。而為了讓無人機能順暢執行任務，維持無人機和地面控制站之間的網路連線至關重要。然而，現今的行動網路雖然能提供地面使用者廣泛的訊號覆蓋範圍，但對於空中的網路使用者卻仍有問題需要處理，包括訊號旁瓣(sidelobe) 之間的訊號弱區(null areas) 以及相鄰基地台之間，由於訊號不受障礙物遮蔽所導致的干擾。為了提升空中的網路連線品質，我們提出利用無人機作為中繼，延長基地台的訊號範圍，提供網路連線給其他執行任務的無人機。我們以所有空中使用者的連線時間做為最佳化的目標，以動態規劃(dynamic programming) 的方式設計此中繼無人機的飛行軌跡，使其能夠最大化所有空中使用者連線時間的總和。在此架構之下，現行的基地台架構以及任務無人機的軌跡均不需要做任何更動，因此具有高度的相容性，並可適用於不同環境。模擬結果顯示在生成的環境中，空中使用者的平均連線時間比例相較於沒有中繼無人機的情況下，增加了約20% 的連線時間。我們也呈現對於中繼無人機具有不同的服務能力，以及和現行的更改空中使用者飛行路徑的方法的比較。最後我們以墨爾本的建築物及基地台資料建構真實世界的模擬環境，結果顯示在市中心以及在市郊區域中使用我們提出的中繼無人機，可以將接受中繼無人機協助之任務無人機的連線時間比例中位數提升至到93.2% 和100%，反映我們所提出方法的泛用性。 | zh_TW |
| dc.description.abstract | Increasing applications are deployed on unmanned aerial vehicles (UAVs) due to their high mobility and versatility. While cellular network is a decent option to provide the connection to UAVs, there are still some problems to be addressed such as null areas between signal sidelobes and interference from neighboring ground base stations (GBSs). To improve the aerial connection performance, we proposed to employ a Connectivity-Aware RElay UAV (CARE-U) to extend the signal coverage of existing GBSs to other aerial user equipments (AUEs). The trajectory of the UAV relay is optimized by a dynamic programming (DP) based method to maximize the total connected time of all AUEs. In the synthetic environment, the average connected time ratio of CARE-U improves by about 20% when compared to scenarios without the help of a relay. The effect of different relay serving capabilities is also investigated. Besides, comparisons with an existing method that modifies AUE trajectory are demonstrated. Lastly, building and GBS data in Melbourne are used to construct real-world environments. Considering AUEs benefited from CARE-U, the median connected time ratio achieves 93.2% and 100% in Melbourne CBD and Kensington real-world environments, showing the great compatibility of our proposed method. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-09-16T16:13:39Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-09-16T16:13:39Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 論文口試委員會審定書i
誌謝ii 摘要iii Abstract iv 1 Introduction 1 2 Related Works 4 2.1 Aerial Null Areas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Modifying Existing Cellular Infrastructure . . . . . . . . . . . . . . . . . 5 2.3 Designing the Trajectory of UAV . . . . . . . . . . . . . . . . . . . . . . 6 2.4 UAV Relay . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3 System Model 9 3.1 UAV Motion Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3.2 G2A Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 3.3 U2U Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.4 Channel Knowledge Maps . . . . . . . . . . . . . . . . . . . . . . . . . 13 4 Problem Statement 14 5 Methodology 17 5.1 Proposed Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 5.2 Correctness and Complexity . . . . . . . . . . . . . . . . . . . . . . . . 19 6 Performance Evaluation 21 6.1 Simulation Setup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 6.2 Effectiveness of the Relay Trajectory . . . . . . . . . . . . . . . . . . . . 23 6.3 Effect of Relay Serving Capability . . . . . . . . . . . . . . . . . . . . . 25 6.4 Comparison to State-of-the-art Method . . . . . . . . . . . . . . . . . . . 26 6.5 Simulation with Real-world Environment Data . . . . . . . . . . . . . . 27 6.5.1 Melbourne CBD . . . . . . . . . . . . . . . . . . . . . . . . . . 28 6.5.2 Melbourne suburb - Kensington . . . . . . . . . . . . . . . . . . 28 7 Conclusion and Future Work 32 | - |
| dc.language.iso | en | - |
| dc.title | 地面網路中繼無人機之飛行軌跡最佳化 | zh_TW |
| dc.title | Trajectory Optimization of Connectivity-Aware Aerial Relay | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 陳昱嘉;施淵耀;莊清智;巫芳璟 | zh_TW |
| dc.contributor.oralexamcommittee | Yu-Jia Chen;Yuan-Yao Shih;Ching-Chih Chuang;Fang-Jing Wu | en |
| dc.subject.keyword | 中繼無人機,軌跡最佳化, | zh_TW |
| dc.subject.keyword | Unmanned aerial vehicle,,Relay,Trajectory, | en |
| dc.relation.page | 37 | - |
| dc.identifier.doi | 10.6342/NTU202403147 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2024-08-06 | - |
| dc.contributor.author-college | 電機資訊學院 | - |
| dc.contributor.author-dept | 資訊工程學系 | - |
| dc.date.embargo-lift | 2029-08-01 | - |
| 顯示於系所單位： | 資訊工程學系 | |
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