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...
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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 |
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