Enabling Capacity Estimation With Ergodic Interference Power in Cellular-Based Multiple UAV Systems

The integration of unmanned aerial vehicles (UAVs) into cellular networks as aerial user equipment (aUE) has attracted increasing interest from both academia and industry in recent years. To ensure stable uplink (UL) service performance, the potential UL capacity must be determined for a variety of...

Full description

Bibliographic Details
Main Authors: Tianxiao Zhao, Jianming Zhou, Yunfei Ma, Fei Qin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9210091/
id doaj-9530277ea8e24c7ca2dd25e971d01bce
record_format Article
spelling doaj-9530277ea8e24c7ca2dd25e971d01bce2021-03-30T04:51:03ZengIEEEIEEE Access2169-35362020-01-01817853917855110.1109/ACCESS.2020.30279769210091Enabling Capacity Estimation With Ergodic Interference Power in Cellular-Based Multiple UAV SystemsTianxiao Zhao0https://orcid.org/0000-0001-5440-6645Jianming Zhou1https://orcid.org/0000-0002-2864-4954Yunfei Ma2https://orcid.org/0000-0003-2654-8202Fei Qin3https://orcid.org/0000-0003-1671-8968School of Information and Electronics, Beijing Institute of Technology, Beijing, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing, ChinaThe 27th Research Institute of China Electronics Technology Group Corporation, Zhengzhou, ChinaSchool of Electronic and Electrical Communication Engineering, University of Chinese Academy of Sciences, Beijing, ChinaThe integration of unmanned aerial vehicles (UAVs) into cellular networks as aerial user equipment (aUE) has attracted increasing interest from both academia and industry in recent years. To ensure stable uplink (UL) service performance, the potential UL capacity must be determined for a variety of communication techniques to guide the system design or to obtain an optimized solution. Unlike traditional interferences from ground UEs, which contribute to only local and nearby cells, UAV systems involve strong LoS paths to even far side base stations (BSs) due to higher altitude. As a result, intercell interference becomes the dominating factor in the estimation of the potential capacity. In this article, we propose a theoretical model on the ergodic sum power of the interference arising from all UAVs maintaining LoS paths with the target BS. The solution to this model is difficult to obtain, and is essentially rooted in the dynamic trajectories of interfering UAVs within a vast geological range. To address this problem, we divide the model into noncorrelated parts, where each part contains the interfering UAVs that are independently and identically distributed (i.i.d.). Then we utilize the ergodic method to solve the interference power of each part. Based on this, the original nonanalytical expression for the ergodic sum interference power is transformed into a solvable integration problem, and the closed-form solution is successfully derived. Simulation based experiments are conducted on both rural macro (RMa) cell and urban macro (UMa) cell scenarios. The results validate the feasibility and accuracy of the proposed model, and confirm the severe influence of the intercell interference on the UL capacity.https://ieeexplore.ieee.org/document/9210091/Unmanned aerial vehiclescellular networkbase stationuplink capacityergodic sum interference power
collection DOAJ
language English
format Article
sources DOAJ
author Tianxiao Zhao
Jianming Zhou
Yunfei Ma
Fei Qin
spellingShingle Tianxiao Zhao
Jianming Zhou
Yunfei Ma
Fei Qin
Enabling Capacity Estimation With Ergodic Interference Power in Cellular-Based Multiple UAV Systems
IEEE Access
Unmanned aerial vehicles
cellular network
base station
uplink capacity
ergodic sum interference power
author_facet Tianxiao Zhao
Jianming Zhou
Yunfei Ma
Fei Qin
author_sort Tianxiao Zhao
title Enabling Capacity Estimation With Ergodic Interference Power in Cellular-Based Multiple UAV Systems
title_short Enabling Capacity Estimation With Ergodic Interference Power in Cellular-Based Multiple UAV Systems
title_full Enabling Capacity Estimation With Ergodic Interference Power in Cellular-Based Multiple UAV Systems
title_fullStr Enabling Capacity Estimation With Ergodic Interference Power in Cellular-Based Multiple UAV Systems
title_full_unstemmed Enabling Capacity Estimation With Ergodic Interference Power in Cellular-Based Multiple UAV Systems
title_sort enabling capacity estimation with ergodic interference power in cellular-based multiple uav systems
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description The integration of unmanned aerial vehicles (UAVs) into cellular networks as aerial user equipment (aUE) has attracted increasing interest from both academia and industry in recent years. To ensure stable uplink (UL) service performance, the potential UL capacity must be determined for a variety of communication techniques to guide the system design or to obtain an optimized solution. Unlike traditional interferences from ground UEs, which contribute to only local and nearby cells, UAV systems involve strong LoS paths to even far side base stations (BSs) due to higher altitude. As a result, intercell interference becomes the dominating factor in the estimation of the potential capacity. In this article, we propose a theoretical model on the ergodic sum power of the interference arising from all UAVs maintaining LoS paths with the target BS. The solution to this model is difficult to obtain, and is essentially rooted in the dynamic trajectories of interfering UAVs within a vast geological range. To address this problem, we divide the model into noncorrelated parts, where each part contains the interfering UAVs that are independently and identically distributed (i.i.d.). Then we utilize the ergodic method to solve the interference power of each part. Based on this, the original nonanalytical expression for the ergodic sum interference power is transformed into a solvable integration problem, and the closed-form solution is successfully derived. Simulation based experiments are conducted on both rural macro (RMa) cell and urban macro (UMa) cell scenarios. The results validate the feasibility and accuracy of the proposed model, and confirm the severe influence of the intercell interference on the UL capacity.
topic Unmanned aerial vehicles
cellular network
base station
uplink capacity
ergodic sum interference power
url https://ieeexplore.ieee.org/document/9210091/
work_keys_str_mv AT tianxiaozhao enablingcapacityestimationwithergodicinterferencepowerincellularbasedmultipleuavsystems
AT jianmingzhou enablingcapacityestimationwithergodicinterferencepowerincellularbasedmultipleuavsystems
AT yunfeima enablingcapacityestimationwithergodicinterferencepowerincellularbasedmultipleuavsystems
AT feiqin enablingcapacityestimationwithergodicinterferencepowerincellularbasedmultipleuavsystems
_version_ 1724181128575713280