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Full-Dimensional Rate Enhancement for UAV-Enabled Communications via Intelligent Omni-Surface
IEEE Wireless Communications Letters ( IF 4.6 ) Pub Date : 7-8-2022 , DOI: 10.1109/lwc.2022.3189359
Yifan Liu 1 , Bin Duo 1 , Qingqing Wu 2 , Xiaojun Yuan 3 , Yonghui Li 4
Affiliation  

This letter investigates the achievable rate maximization problem of a downlink unmanned aerial vehicle (UAV)-enabled communication system aided by an intelligent omni-surface (IOS). Different from the state-of-the-art reconfigurable intelligent surface (RIS) that only reflects incident signals, the IOS can simultaneously reflect and transmit the signals, thereby providing full-dimensional rate enhancement. We formulate this rate maximization problem by jointly optimizing the IOS’s phase shift and the UAV trajectory. Although it is difficult to solve it optimally due to its non-convexity, we propose an efficient algorithm to obtain a high-quality suboptimal solution. Simulation results show that the IOS-assisted UAV communications can achieve significant improvement in achievable rates compared to other benchmark schemes.

中文翻译:


通过智能全表面实现无人机通信的全维速率增强



这封信研究了在智能全表面 (IOS) 辅助下的下行链路无人机 (UAV) 通信系统可实现的速率最大化问题。与仅反射入射信号的最先进的可重构智能表面(RIS)不同,IOS可以同时反射和传输信号,从而提供全维速率增强。我们通过联合优化 IOS 的相移和无人机轨迹来制定该速率最大化问题。尽管由于其非凸性而难以对其进行最优求解,但我们提出了一种有效的算法来获得高质量的次优解。仿真结果表明,与其他基准方案相比,IOS辅助的无人机通信可实现速率的显着提高。
更新日期:2024-08-26
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