返回
UAV-Aided Cellular Operation by User Offloading
DOI:10.1109/JIOT.2020.3015479.png)
摘要
En 中文
Aiding cellular networks by unmanned aerial vehicles (UAVs) is a leap forward to address the ever-rising, multifarious, and dynamic traffic demands. The UAV utilization in wireless communication presents essential advantages, such as position control and appealing Line-of-Sight (LoS) components. In this article, we consider a UAV deployed as an aerial base station (ABS) to assist a terrestrial base station (TBS), serving several users in a hotspot area, via user offloading. Considering unavailable knowledge of the user's locations, the ABS is assumed to hover at the cell center (geometric center) above the TBS as a best-effort location for all the users. Taking into account the mutual interference between the aerial and terrestrial communication links due to spectrum reuse, we study the impact of the ABS altitude and transmit power, as well as the offload portion, on the user's downlink sum rate under the settings of the LoS channel. The results show that the optimal values for the design variables are either the maximum or the minimum boundaries. Also, the results demonstrate that our method outperforms benchmark schemes with appreciable amounts of gain. We also investigate the method's behavior with the ABS horizontal position optimization, probabilistic LoS channel, uplink communication, and orthogonal spectrum allocation.
Keyword:
Optimization
Interference
Unmanned aerial vehicles
Trajectory
Two dimensional displays
Base stations
Downlink
Altitude optimization
interference
terrestrial base station (TBS)
transmit power optimization
unmanned aerial vehicle (UAV)
user offloading
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
Multiple Access for Mobile-UAV Enabled Networks: Joint Trajectory Design and Resource Allocation支持移动无人机的网络的多路访问: 联合轨迹设计和资源分配
Relating Macroscopic PET Radiomics Features to Microscopic Tumor Phenotypes Using a Stochastic Mathematical Model of Cellular Metabolism and Proliferation
Cancers
IF0

