发表机构
Institute of Science Tokyo; Koden Electronics Co., Ltd.; Kogakuin University（科学技术院; 光电电子有限公司; 工学馆大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
提出几何感知多无人机带内全双工系统，利用定向天线和分离信道将自干扰转为可控同信道干扰，经现场试验验证性能优于传统TDD并接近理想IBFD。
AI 中文摘要
无人机（UAV）系统的部署依赖于无人机与地面站（GS）之间高性能且轻量级的无线链路。本文提出了一种几何感知的多无人机带内全双工（MU-IBFD）通信系统，该系统利用高增益定向天线和分离的上行/下行信道，将自干扰转化为无人机之间可控的同信道干扰（CCI），从而避免在无人机上使用能耗密集的自干扰消除器。我们还推导了一个几何感知的CCI模型，并在三维空域中定义了一个可靠工作区域（ROR），在该区域内满足信干噪比（SINR）要求。开发了一个由两架无人机和一个地面站组成的原型，并进行了现场试验。测量得到的CCI随无人机位置的变化与理论预测的非ROR区域吻合良好，下行容量显著超过采用全向方案且发射功率更高的传统时分双工（TDD）系统，并在大部分空域接近理想带内全双工（IBFD）的性能。一个概念验证的4K/60p视频传输进一步展示了所提出的MU-IBFD系统的实际应用潜力。
英文摘要
The deployment of unmanned aerial vehicle (UAV) systems relies on high-performance yet lightweight wireless links between UAVs and ground stations (GSs). This paper presents a geometry-aware multi-UAV in-band full-duplex (MU-IBFD) communication system that uses high-gain directional antennas and separated uplink/downlink channels to convert self-interference into controllable co-channel interference (CCI) between UAVs, thereby avoiding energy-intensive self-interference cancelers on UAVs. We also derive a geometry-aware CCI model and define a reliable operating region (ROR) in the 3D airspace, within which the SINR requirement is satisfied. A prototype consisting of two UAVs and a GS is developed, and field trials are conducted. The measured CCI as a function of UAV positions agrees well with the theoretically predicted non-ROR region, and the downlink capacity significantly exceeds that of a conventional time-division duplex (TDD) with omni-directional scheme and higher transmit power and approaches that of ideal IBFD in most of the airspace. A proof-of-concept 4K/60p video transmission further demonstrates the practical potential of the proposed MU-IBFD system.
Commentsaccepted by IEEE Transactions on Vehicular Technology
