Providing a stable connectivity in maritime communications is of utmost importance to unleash the full potential of smart ports. Nonetheless, due to the crowded nature of harbor environments, it is likely that some ships are shadowed by others, resulting in reduced received power that subsequently diminishes their data rates-even threatens basic connectivity requirements. Given that UAVs have been regarded as an integral part of future generations of wireless communication networks, they can be employed in maritime communications as well. In this paper, we investigate the use of UAV-mounted relays in order to help mitigate the reduced data rates of blocked links in maritime communications. Various communication architectures are considered based on the positioning mechanism of the UAV; in this regard, fixed, k-means algorithm-based, and landing spot-based positioning approaches are examined. On the other hand, since UAVs are predominantly battery-operated, the energy consumption performances of these approaches are also measured. Results reveal that the landing spot-based UAV relay positioning approach finds the best trade-off between the data rate and energy consumption.
翻译:稳定的海上通信连接对于发掘智能港口的全部潜能至关重要。然而,由于港口环境拥挤,一些船只可能被其他船只遮挡,导致接收功率降低,进而降低数据速率,甚至使基本连接需求受到威胁。鉴于无人机被认为是未来无线通信网络的重要组成部分,它们也可以在海上通信中使用。在本文中,我们研究了使用无人机中继来帮助减轻海上通信中被阻塞链路的数据速率降低。基于无人机的定位机制,考虑了各种通信架构;在这方面,考虑了基于固定位置、基于k-means算法和基于着陆点的定位方法。另一方面,由于无人机主要由电池供电,这些方法的能耗性能也被测量。结果表明,基于着陆点的无人机中继定位方法在数据速率和能量消耗之间找到了最佳的平衡点。