Modeling and Performance Analysis in UAV-Assisted Cellular Networks with Clustered Edge Users
A UAV-assisted cellular network can provide ubiquitous links to everything and it is considered to be one of the key technologies for 6G wireless networks. In this paper, we consider an uplink wireless network with a macrobase station (MBS) and cellular users. However, the coverage equality of edge...
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| Format: | Article |
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MDPI AG
2022-03-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/5/828 |
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| author | Yuanyuan Yao Yunga Wu Zhengyu Zhu Xiaoqi Qin Xinwei Yue |
| author_facet | Yuanyuan Yao Yunga Wu Zhengyu Zhu Xiaoqi Qin Xinwei Yue |
| author_sort | Yuanyuan Yao |
| collection | DOAJ |
| description | A UAV-assisted cellular network can provide ubiquitous links to everything and it is considered to be one of the key technologies for 6G wireless networks. In this paper, we consider an uplink wireless network with a macrobase station (MBS) and cellular users. However, the coverage equality of edge users cannot be guaranteed in scenarios where data service is dense. Specifically, a novel topology of the UAV-assisted wireless network is considered. UAVs are deployed upon the cell edge to serve edge users with poor communication quality. To avoid larger interference caused by users and UAVs in the overlapping area, the locations of these UAVs are modeled as a homogeneous Poisson point process (HPPP) under the Poisson cluster distance constraint (PCDC). In addition, we assume that edge users cluster around each UAV and model their locations as Poisson cluster processes (PCPs). Initially, the Laplace transforms of intra-cluster interference, inter-cluster interference, and other interference are derived. Subsequently, coverage probability and area spectrum efficiency are derived for UAVs and MBS using tools from stochastic geometry. Moreover, the energy efficiency of the system is obtained. Simulation results are examined to validate the accuracy of theoretical analysis and provide insights into the effects of the system parameters as well as useful guidelines for practical system design. |
| first_indexed | 2024-03-09T20:42:51Z |
| format | Article |
| id | doaj.art-84c73bcda5a04fb5b8bf67a6114584a4 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T20:42:51Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-84c73bcda5a04fb5b8bf67a6114584a42023-11-23T22:54:33ZengMDPI AGElectronics2079-92922022-03-0111582810.3390/electronics11050828Modeling and Performance Analysis in UAV-Assisted Cellular Networks with Clustered Edge UsersYuanyuan Yao0Yunga Wu1Zhengyu Zhu2Xiaoqi Qin3Xinwei Yue4School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, ChinaSchool of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, ChinaSchool of Information Engineering, Zhengzhou University, Zhengzhou 450001, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSchool of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, ChinaA UAV-assisted cellular network can provide ubiquitous links to everything and it is considered to be one of the key technologies for 6G wireless networks. In this paper, we consider an uplink wireless network with a macrobase station (MBS) and cellular users. However, the coverage equality of edge users cannot be guaranteed in scenarios where data service is dense. Specifically, a novel topology of the UAV-assisted wireless network is considered. UAVs are deployed upon the cell edge to serve edge users with poor communication quality. To avoid larger interference caused by users and UAVs in the overlapping area, the locations of these UAVs are modeled as a homogeneous Poisson point process (HPPP) under the Poisson cluster distance constraint (PCDC). In addition, we assume that edge users cluster around each UAV and model their locations as Poisson cluster processes (PCPs). Initially, the Laplace transforms of intra-cluster interference, inter-cluster interference, and other interference are derived. Subsequently, coverage probability and area spectrum efficiency are derived for UAVs and MBS using tools from stochastic geometry. Moreover, the energy efficiency of the system is obtained. Simulation results are examined to validate the accuracy of theoretical analysis and provide insights into the effects of the system parameters as well as useful guidelines for practical system design.https://www.mdpi.com/2079-9292/11/5/828unmanned aerial vehicle (UAV)homogeneous poisson point process (HPPP)poisson cluster process (PCP)stochastic geometry |
| spellingShingle | Yuanyuan Yao Yunga Wu Zhengyu Zhu Xiaoqi Qin Xinwei Yue Modeling and Performance Analysis in UAV-Assisted Cellular Networks with Clustered Edge Users Electronics unmanned aerial vehicle (UAV) homogeneous poisson point process (HPPP) poisson cluster process (PCP) stochastic geometry |
| title | Modeling and Performance Analysis in UAV-Assisted Cellular Networks with Clustered Edge Users |
| title_full | Modeling and Performance Analysis in UAV-Assisted Cellular Networks with Clustered Edge Users |
| title_fullStr | Modeling and Performance Analysis in UAV-Assisted Cellular Networks with Clustered Edge Users |
| title_full_unstemmed | Modeling and Performance Analysis in UAV-Assisted Cellular Networks with Clustered Edge Users |
| title_short | Modeling and Performance Analysis in UAV-Assisted Cellular Networks with Clustered Edge Users |
| title_sort | modeling and performance analysis in uav assisted cellular networks with clustered edge users |
| topic | unmanned aerial vehicle (UAV) homogeneous poisson point process (HPPP) poisson cluster process (PCP) stochastic geometry |
| url | https://www.mdpi.com/2079-9292/11/5/828 |
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