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无人机中继网络中的最优无人机部署与资源管理

Optimal UAV Deployment and Resource Management in UAV Relay Networks.

作者信息

Han Sang Ik, Baek Jaeuk

机构信息

School of Smart IT, Semyung University, 65 Semyeong-ro, Jecheon-si 27136, Korea.

Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea.

出版信息

Sensors (Basel). 2021 Oct 16;21(20):6878. doi: 10.3390/s21206878.

Abstract

UAV equipped three-dimensional (3D) wireless networks can provide a solution for the requirements of 5G communications, such as enhanced Mobile Broadband (eMBB) and massive Machine Type Communications (mMTC). Especially, the introduction of an unmanned aerial vehicle (UAV) as a relay node can improve the connectivity, extend the terrestrial base station (BS) coverage and enhance the throughput by taking advantage of a strong air-to-ground line of sight (LOS) channel. In this paper, we consider the deployment and resource allocation of UAV relay network (URN) to maximize the throughput of user equipment (UE) within a cell, while guaranteeing a reliable transmission to UE outside the coverage of BS. To this end, we formulate joint UAV deployment and resource allocation problems, whose analytical solutions can be hardly obtained, in general. We propose a fast and practical algorithm to provide the optimal solution for the number of transmit time slots and the UAV relay location in a sequential manner. The transmit power at BS and UAV is determined in advance based on the availability of channel state information (CSI). Simulation results demonstrate that the proposed algorithms can significantly reduce the computational effort and complexity to determine the optimal UAV location and transmit time slots over an exhaustive search.

摘要

配备无人机的三维(3D)无线网络可以为5G通信的需求提供解决方案,例如增强型移动宽带(eMBB)和大规模机器类型通信(mMTC)。特别是,引入无人机作为中继节点可以通过利用强大的空对地视距(LOS)信道来改善连接性、扩展地面基站(BS)覆盖范围并提高吞吐量。在本文中,我们考虑无人机中继网络(URN)的部署和资源分配,以最大化小区内用户设备(UE)的吞吐量,同时保证向基站覆盖范围之外的UE进行可靠传输。为此,我们制定了联合无人机部署和资源分配问题,一般来说,很难获得其解析解。我们提出了一种快速实用的算法,以顺序方式为传输时隙数量和无人机中继位置提供最优解。基站和无人机处的发射功率基于信道状态信息(CSI)的可用性预先确定。仿真结果表明,与穷举搜索相比,所提出的算法可以显著减少确定最优无人机位置和传输时隙的计算量和复杂度。

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