無人飛行載具因為具備高移動性與低成本的特性，相關應用逐漸興起。特別是5G連網無人機除了能進行空中資訊蒐集，亦能作為飛行基地台，優化行動網路的效能。然而相較於傳統地面的通訊環境，5G連網無人機需要更高的安全性與超低延遲性來保障空中與地面的資料傳輸，因此急需相關技術的突破。本計畫將針對5G連網無人機系統進行全面的設計跟執行驗證，我們將從系統的媒體存取控制層與網路層之性能建模與改善機制進行研究，並設計新的數據傳輸技術與其系統開發，本計畫五年的工作將包括五方面： 第一年：研究基於網路編碼的資料隱私防護技術，保護無人機物聯網的資料傳輸，以達到高安全的目標; 第二年：使用Stochastic Network Calculus分析技術，建立5G空中與地面傳輸的延遲性能分析模型，以達到低延遲的目標; 第三年：提出學習式無人機傳輸功率控制優化機制，增加資料傳輸的可靠度，以達到超可靠低延遲通訊(Ultra-Reliable Low Latency Communications, URLLC)的目標; 第四年：發展無人機資料聚合技術，研究最佳緩衝區大小設計，提供任務關鍵型物聯網應用之低延遲技術需求; 第五年：設計具延遲感知之動態分群技術，動態配置無人機之位置與連線，並於所開發之無人機物聯網平台進行驗證。在本計畫完成時，我們預計將建構出一套具備資料保護、善用無線電資源、結合動態網路參數優化的5G無人機數據傳輸系統，期望本計畫成果能同時對行動通訊產業以及無人機產業，提供關鍵且有力的技術支撐。 ;Due to the high mobility and low infrastructure cost, unmanned aerial vehicles (UAVs) have attracted significant attention recently from both academic and industry. In particular, 5G-connected UAV can not only collect sensing data but also serve as a base station to improve the performance of mobile applications. However, compared to the ground communication links, communications of 5G-connected UAV require higher security and lower latency requirements to ensure the aerial link reliability. Therefore, we plan a project to provide comprehensive design principle and experimental verification of 5G-connected UAV communication systems. We will investigate the performance modeling and enhancement techniques from the aspects of medium access control layer and network layer. In addition, new data transmission technique and its system will be developed. The objective of each year is listed as follows: 1st year: Propose network coding method for protecting the privacy of Internet of drones (IoD) data to meet the high security requirement; 2nd year: Adopt stochastic network calculus to obtain the delay performance of UAV aerial communications to meet the low latency requirement; 3rd year: Design power control of UAV using machine learning algorithm for increasing the transmission reliability in order to meet the ultra-reliable and low latency communications (URLLC) requirements; 4th year: Develop flying aggregator and its optimal buffer design. Enabling techniques for mission-critical UAV applications over wireless communications networks will be proposed; 5th year: Design delay-aware association and dynamic clustering for UAV-based Internet of Things (IoT) systems. To examine the feasibility, the proposed scheme will be implemented in our UAV testbed.Through this project, we will be able to build intelligent 5G-connected UAV communication systems in which we secure data transmissions, utilize radio resource efficiently, and optimize the network parameters. The practical research outcomes of this project can provide insightful findings which serve as the foundation for technical innovation toward upgrading the information and communications industry.
