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arXiv 1901.02804cs.ITmath.IT
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基于联合机动和功率控制的认知UAV通信

Cognitive UAV Communication via Joint Maneuver and Power Control

Yuwei Huang, Weidong Mei, Jie Xu, Ling Qiu, Rui Zhang

摘要:

研究了一种新的无人机与地面无线通信频谱共享的场景,在该场景中,一个认知/次级无人机发射机与地面次级接收机进行通信,同时存在多个工作在同一频段上的地面主通信链路。我们利用无人机在三维(3D)空间中的移动性,以提高其认知通信性能,同时控制在主接收机(PR)的同频干扰,使每个PR的接收干扰功率低于规定的阈值称为干扰温度(IT)。首先,我们考虑准静止无人机的情况下,无人机被放置在一个静态的位置在每个通信期间的利益。在这种情况下,我们联合优化无人机的3D布局和功率控制,以最大限度地提高SR的可实现速率,这取决于无人机的高度和发射功率约束,以及PR处的一组IT约束,以保护它们的通信。接下来,我们考虑移动无人机的情况下,无人机被派遣从一个初始位置飞行到一个最终位置在给定的任务周期。我们提出了一种有效的算法,以最大限度地提高SR的平均可达到的速率在此期间通过联合优化无人机的3D轨迹和功率控制,受到额外的约束无人机的最大飞行速度和初始/最终位置。最后,数值结果提供了不同的情况下,所提出的设计的性能进行评估,相比各种基准计划。结果表明,在准静止情况下,无人机应处于最低飞行高度,而在机动情况下,无人机应沿水平轨迹调整飞行高度,以最大化两种情况下的SR可达速率。

英文摘要:

This paper investigates a new scenario of spectrum sharing between unmanned aerial vehicle (UAV) and terrestrial wireless communication, in which a cognitive/secondary UAV transmitter communicates with a ground secondary receiver (SR), in the presence of a number of primary terrestrial communication links that operate over the same frequency band. We exploit the UAV's mobility in three-dimensional (3D) space to improve its cognitive communication performance while controlling the co-channel interference at the primary receivers (PRs), such that the received interference power at each PR is below a prescribed threshold termed as interference temperature (IT). First, we consider the quasi-stationary UAV scenario, where the UAV is placed at a static location during each communication period of interest. In this case, we jointly optimize the UAV's 3D placement and power control to maximize the SR's achievable rate, subject to the UAV's altitude and transmit power constraints, as well as a set of IT constraints at the PRs to protect their communications. Next, we consider the mobile UAV scenario, in which the UAV is dispatched to fly from an initial location to a final location within a given task period. We propose an efficient algorithm to maximize the SR's average achievable rate over this period by jointly optimizing the UAV's 3D trajectory and power control, subject to the additional constraints on UAV's maximum flying speed and initial/final locations. Finally, numerical results are provided to evaluate the performance of the proposed designs for different scenarios, as compared to various benchmark schemes. It is shown that in the quasi-stationary scenario the UAV should be placed at its minimum altitude while in the mobile scenario the UAV should adjust its altitude along with horizontal trajectory, so as to maximize the SR's achievable rate in both scenarios.

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