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Millimeter-Wave Full-Duplex UAV Relay: Joint Positioning, Beamforming, and Power Control

机译:毫米波全双工UAV继电器:联合定位,波束成形和功率控制

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摘要

In this paper, a full-duplex unmanned aerial vehicle (FD-UAV) relay is employed to increase the communication capacity of millimeter-wave (mmWave) networks. Large antenna arrays are equipped at the source node (SN), destination node (DN), and FD-UAV relay to overcome the high path loss of mmWave channels and to help mitigate the self-interference at the FD-UAV relay. Specifically, we formulate a problem for maximization of the achievable rate from the SN to the DN, where the UAV position, analog beamforming, and power control are jointly optimized. Since the problem is highly non-convex and involves high-dimensional, highly coupled variable vectors, we first obtain the conditional optimal position of the FD-UAV relay for maximization of an approximate upper bound on the achievable rate in closed form, under the assumption of a line-of-sight (LoS) environment and ideal beamforming. Then, the UAV is deployed to the position which is closest to the conditional optimal position and yields LoS paths for both air-to-ground links. Subsequently, we propose an alternating interference suppression (AIS) algorithm for the joint design of the beamforming vectors and the power control variables. In each iteration, the beamforming vectors are optimized for maximization of the beamforming gains of the target signals and the successive reduction of the interference, where the optimal power control variables are obtained in closed form. Our simulation results confirm the superiority of the proposed positioning, beamforming, and power control method compared to three benchmark schemes. Furthermore, our results show that the proposed solution closely approaches a performance upper bound for mmWave FD-UAV systems.
机译:本文采用全双工无人机(FD-UAV)继电器来增加毫米波(MMWAVE)网络的通信容量。大型天线阵列配备在源节点(SN),目标节点(DN)和FD-UAV继电器中,以克服MMWAVE通道的高路径损耗,并帮助减轻FD-UAV继电器的自干扰。具体地,我们制定了从SN到DN的可实现速率的最大化的问题,其中UAV位置,模拟波束成形和功率控制是联合优化的。由于问题是高度非凸起的并且涉及高维,高度耦合的可变向量,我们首先获得FD-UAV继电器的条件最佳位置,以便在假设下最大化闭合形式可实现速率的近似上限视线(LOS)环境和理想的波束成形。然后,将UAV部署到最靠近条件最佳位置的位置,并产生用于两种空对地的链路的LOS路径。随后,我们提出了一种用于波束形成矢量的关节设计的交替的干扰抑制(AIS)算法和功率控制变量。在每次迭代中,波束成形矢量被优化以最大化目标信号的波束成形增益以及在封闭形式中获得最佳功率控制变量的连续减少。与三个基准方案相比,我们的仿真结果证实了所提出的定位,波束成形和功率控制方法的优势。此外,我们的结果表明,该解决方案密切接近MMWAVE FD-UAV系统的性能上限。

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