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Outage Probability Analysis of Multi-Connectivityin UAV-Assisted Urban mmWave Communication

Cao, Zhengxin ; Zhang, Jing ; Xiang, Lin ; Ge, Xiaohu (2024)
Outage Probability Analysis of Multi-Connectivityin UAV-Assisted Urban mmWave Communication.
35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'24). Valencia, Spain (02.09.2024 - 05.09.2024)
Conference or Workshop Item, Bibliographie

Abstract

Unmanned aerial vehicle (UAV)-assisted millimeterwave (mmWave) communication presents a promising solution for high data-rate wireless applications in urban environments. However, due to limited energy supply and communication capability, UAVs can only provide temporary communication services. This challenge motivates the exploration of three-dimensional (3D) integrated aerial and ground mmWave communications utilizing the multi-connectivity (MC) technique. By leveraging both ground and aerial mmWave links over licensed and unlicensed mmWave spectrums, respectively, the MC technique can effectively exploit spatial and frequency diversity to enhance the connectivity and reliability of UAV-assisted mmWave communications. We develop a unified framework based on stochastic geometry and Markov chain to analyze the coverage and outage probabilities of the 3D integrated aerial/ground mmWave networks. Furthermore, we show that an optimal UAV flight altitude for maximizing the coverage probability of UAV communication exists and derive it in a closed-form expression. Simulation results demonstrate that UAVs can maintain reliable mmWave connections even when connections from terrestrial mmWave base stations (BSs) are obstructed by buildings, underscoring the benefits of MC in enhancing the robustness of 3D integrated aerial and ground mmWave networks.

Item Type: Conference or Workshop Item
Erschienen: 2024
Creators: Cao, Zhengxin ; Zhang, Jing ; Xiang, Lin ; Ge, Xiaohu
Type of entry: Bibliographie
Title: Outage Probability Analysis of Multi-Connectivityin UAV-Assisted Urban mmWave Communication
Language: English
Date: 2 September 2024
Event Title: 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'24)
Event Location: Valencia, Spain
Event Dates: 02.09.2024 - 05.09.2024
Abstract:

Unmanned aerial vehicle (UAV)-assisted millimeterwave (mmWave) communication presents a promising solution for high data-rate wireless applications in urban environments. However, due to limited energy supply and communication capability, UAVs can only provide temporary communication services. This challenge motivates the exploration of three-dimensional (3D) integrated aerial and ground mmWave communications utilizing the multi-connectivity (MC) technique. By leveraging both ground and aerial mmWave links over licensed and unlicensed mmWave spectrums, respectively, the MC technique can effectively exploit spatial and frequency diversity to enhance the connectivity and reliability of UAV-assisted mmWave communications. We develop a unified framework based on stochastic geometry and Markov chain to analyze the coverage and outage probabilities of the 3D integrated aerial/ground mmWave networks. Furthermore, we show that an optimal UAV flight altitude for maximizing the coverage probability of UAV communication exists and derive it in a closed-form expression. Simulation results demonstrate that UAVs can maintain reliable mmWave connections even when connections from terrestrial mmWave base stations (BSs) are obstructed by buildings, underscoring the benefits of MC in enhancing the robustness of 3D integrated aerial and ground mmWave networks.

Uncontrolled Keywords: BMBF Open6GHub, emergenCITY, emergenCITY_KOM
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Communications Engineering
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LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
Date Deposited: 22 Oct 2024 12:40
Last Modified: 22 Oct 2024 12:42
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