基于无人机的混合卫星-无人机陆地海事通信伴随覆盖

Xiangling Li, W. Feng, Yunfei Chen, Chengxiang Wang, N. Ge
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引用次数: 14

摘要

尽管卫星和地面第五代(5G)通信不断发展,但海上宽带覆盖仍有很大差距。在本文中,我们探讨了无人驾驶飞行器(uav)用于海上通信的潜在收益。考虑一种卫星-无人机-地面混合网络,其中无人机为移动船舶提供伴随覆盖。对无人机的飞行轨迹和发射功率进行了优化,使舰船的最小可达航速达到最大。与以往的研究不同,我们考虑了一个典型的包含大尺度和小尺度衰落的复合信道模型,以应对实际的传播环境。此外,由于无人机在飞行前无法获得动态小尺度衰落,我们假设只知道大尺度信道状态信息(CSI)进行优化,而大尺度信道状态信息可以根据船舶的位置信息进行估计。在此背景下,考虑无人机的运动学约束和通信限制,提出了优化问题。利用问题分解、连续凸优化和等分搜索等工具,对证明为非凸的问题进行了求解。仿真结果验证了该方法的优越性。
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UAV-Enabled Accompanying Coverage for Hybrid Satellite-Uav-Terrestrial Maritime Communications
Despite of constantly-developing satellites and terrestrial fifth generation (5G) communications, there is still a large gap for maritime broadband coverage. In this paper, we explore the potential gain of unmanned aerial vehicles (UAVs) for maritime communications. A hybrid satellite-UAV-terrestrial network is considered, where the UAV is employed to offer an accompanying coverage for mobile ships. We optimize both the trajectory and transmit power of UAV to maximize the minimum of ship's achievable rate. Different from previous studies, we consider a typical composite channel model containing both large-scale and small-scale fading, to cope with the practical propagation environment. Moreover, we assume only the large-scale channel state information (CSI) is known for optimization, because the dynamic small-scale fading cannot be obtained before UAV's flight, whereas the large-scale CSI can be estimated according to the position information of ships. Under this context, an optimization problem is formulated, subject to constraints on UAV's kinematics and communication limitation. We solve the problem which is proved to be non-convex by problem decomposition, successive convex optimization and bisection searching tools. Simulation results have corroborated the superiority of the proposed accompanying coverage of UAV.
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