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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Power Control and Clustering-Based Interference Management for UAV-Assisted Networks
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Power Control and Clustering-Based Interference Management for UAV-Assisted Networks

机译：用于无人机辅助网络的功率控制和基于聚类的干扰管理

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摘要

Unmanned Aerial Vehicle (UAV) has been widely used in various applications of wireless network. A system of UAVs has the function of collecting data, offloading traffic for ground Base Stations (BSs) and illuminating coverage holes. However, inter-UAV interference is easily introduced because of the huge number of LoS paths in the air-to-ground channel. In this paper, we propose an interference management framework for UAV-assisted networks, consisting of two main modules: power control and UAV clustering. The power control is executed first to adjust the power levels of UAVs. We model the problem of power control for UAV networks as a non-cooperative game which is proved to be an exact potential game and the Nash equilibrium is reached. Next, to further improve system user rate, coordinated multi-point (CoMP) technique is implemented. The cooperative UAV sets are established to serve users and thus transforming the interfering links into useful links. Affinity propagation is applied to build clusters of UAVs based on the interference strength. Simulation results show that the proposed algorithm integrating power control with CoMP can effectively reduce the interference and improve system sum-rate, compared to Non-CoMP scenario. The law of cluster formation is also obtained where the average cluster size and the number of clusters are affected by inter-UAV distance.
机译：无人驾驶飞行器（UAV）已广泛用于无线网络的各种应用。无人机系统具有收集数据，卸载地面基站（BSS）和照明覆盖孔的流量的功能。然而，由于空对地通道中的巨大数量的LOS路径，容易引入UV间干扰。在本文中，我们为无人机辅助网络提出了干扰管理框架，包括两个主模块：电源控制和UAV群集。首先执行电源控制以调整UAV的功率电平。我们将UAV网络作为非协同游戏的功率控制问题模型，这被证明是确切的潜在游戏，达到纳什均衡。接下来，为了进一步提高系统用户速率，实现了协调的多点（COMP）技术。建立合作的UAV集以提供用户，从而将干扰链接转换为有用的链接。基于干扰强度，应用亲和传播以构建无人机的集群。仿真结果表明，与非CoMP场景相比，该算法与COMP的电源控制集成电源控制的算法可以有效地降低干扰和提高系统总和率。还可以获得群集形成的规律，其中平均簇大小和簇的数量受到无人间距离的影响。

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