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)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2024 |
Autor(en): | Cao, Zhengxin ; Zhang, Jing ; Xiang, Lin ; Ge, Xiaohu |
Art des Eintrags: | Bibliographie |
Titel: | Outage Probability Analysis of Multi-Connectivityin UAV-Assisted Urban mmWave Communication |
Sprache: | Englisch |
Publikationsjahr: | 2 September 2024 |
Veranstaltungstitel: | 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'24) |
Veranstaltungsort: | Valencia, Spain |
Veranstaltungsdatum: | 02.09.2024 - 05.09.2024 |
Kurzbeschreibung (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. |
Freie Schlagworte: | BMBF Open6GHub, emergenCITY, emergenCITY_KOM |
Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Kommunikationstechnik LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY |
Hinterlegungsdatum: | 22 Okt 2024 12:40 |
Letzte Änderung: | 22 Okt 2024 12:42 |
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