Cellular-Enabled UAV Communication: Trajectory Optimization under Connectivity Constraint
Cellular-Enabled UAV Communication: Trajectory Optimization under Connectivity Constraint
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DOI：
10.1109/icc.2018.8422584
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发表时间：
2017-10
期刊：
影响因子：
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通讯作者：
Shuowen Zhang;Yong Zeng;Rui Zhang
中科院分区：
文献类型：
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作者：
Shuowen Zhang;Yong Zeng;Rui Zhang
本文研究了一种由一架无人机和多个地面基站组成的蜂窝式无人机通信系统。UAV具有从初始位置飞行到最终位置的使命，在此期间，它需要通过在每个时刻与GBS中的一个相关联来维持与蜂窝网络的可靠无线连接。我们的目标是最小化无人机使命完成时间，通过优化其轨迹，受到由最小接收信噪比（SNR）目标，这需要在整个使命中得到满足指定的GBS-无人机链路的连接约束的质量。该问题是一个非凸的问题，很难得到最优解。我们首先提出了一种有效的方法来检查其可行性的基础上图的连通性验证。然后，通过分析无人机使命过程中GBS与无人机的关联序列，得到了无人机最优航迹，并在此基础上，利用凸优化和图论中的技术，提出了一种有效的航迹优化算法。数值结果表明，我们提出的轨迹设计达到接近最优的性能。
In this paper, we study a cellular-enabled unmanned aerial vehicle (UAV) communication system consisting of one UAV and multiple ground base stations (GBSs). The UAV has a mission of flying from an initial location to a final location, during which it needs to maintain reliable wireless connection with the cellular network by associating with one of the GBSs at each time instant. We aim to minimize the UAV mission completion time by optimizing its trajectory, subject to a quality of connectivity constraint of the GBS-UAV link specified by a minimum received signal-to-noise ratio (SNR) target, which needs to be satisfied throughout the mission. This problem is non-convex and difficult to be optimally solved. We first propose an effective approach to check its feasibility based on graph connectivity verification. Then, by examining the GBS-UAV association sequence during the UAV mission, we obtain useful insights on the optimal UAV trajectory, based on which an efficient algorithm is proposed to find an approximate solution to the trajectory optimization problem by leveraging techniques in convex optimization and graph theory. Numerical results show that our proposed trajectory design achieves near-optimal performance.