Dynamic Interference Management for UAV-Assisted Wireless Networks
Dynamic Interference Management for UAV-Assisted Wireless Networks
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DOI：
10.1109/twc.2021.3114234
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发表时间：
2022-04-01
影响因子：
10.4
通讯作者：
Bhuyan, Arupjyoti
中科院分区：
文献类型：
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作者：
Rahmati, Ali;Hosseinalipour, Seyyedali;Bhuyan, Arupjyoti
我们研究了一种传输机制，旨在通过部署多个中继无人机来提高基站（BS）和用户设备（UE）之间的数据速率。我们考虑了另一个已建立的通信网络所产生的干扰的影响，这使得我们的问题具有挑战性，并不同于最先进的状态。我们的目标是设计的3D轨迹和功率分配的无人机，以最大限度地提高网络的数据流，同时保持对现有通信网络的干扰低于阈值。我们利用无人机的机动性来规避（非）故意干扰者造成的（非）故意干扰。为此，我们提出了一种交替最大化的方法来共同获得的3D轨迹和无人机的发射功率。我们处理的3D轨迹设计诉诸谱图理论，随后通过凸优化技术解决的功率分配。我们还从故意干扰者的角度来处理这个问题，智能干扰机追逐无人机，以有效地降低网络的数据流。我们还将我们的工作扩展到多个UE的情况。最后，我们通过大量的模拟证明了我们所提出的方法的有效性。
We investigate a transmission mechanism aiming to improve the data rate between a base station (BS) and a user equipment (UE) through deploying multiple relaying UAVs. We consider the effect of interference incurred by another established communication network, which makes our problem challenging and different from the state of the art. We aim to design the 3D trajectories and power allocation for the UAVs to maximize the data flow of the network while keeping the interference on the existing communication network below a threshold. We utilize the mobility feature of the UAVs to evade the (un)-intended interference caused by (un)-intentional interferers. To this end, we propose an alternating-maximization approach to jointly obtain the 3D trajectories and the UAVs transmission powers. We handle the 3D trajectory design by resorting to spectral graph theory and subsequently address the power allocation through convex optimization techniques. We also approach the problem from the intentional interferer's perspective where smart jammers chase the UAVs to effectively degrade the data flow of the network. We also extend our work to the case for multiple UEs. Finally, we demonstrate the efficacy of our proposed method through extensive simulations.