A novel air-to-ground channel modeling method based on graph model

Wang, Nanxin and Yin, Xuefeng and Cai, Xuesong and Rodriguez Piñeiro, José and Perez Yuste, Antonio and Tian, Li (2019). A novel air-to-ground channel modeling method based on graph model. In: "The 13th European Conference on Antennas and Propagation, run under the auspices of the European Association on Antennas and Propagation (EurAAP)", 31/03/2019 - 05/04/2019, Krakow, Poland. ISBN 978-88-907018-8-7. pp. 1-5.

Description

Title: A novel air-to-ground channel modeling method based on graph model
Author/s:
  • Wang, Nanxin
  • Yin, Xuefeng
  • Cai, Xuesong
  • Rodriguez Piñeiro, José
  • Perez Yuste, Antonio
  • Tian, Li
Item Type: Presentation at Congress or Conference (Article)
Event Title: The 13th European Conference on Antennas and Propagation, run under the auspices of the European Association on Antennas and Propagation (EurAAP)
Event Dates: 31/03/2019 - 05/04/2019
Event Location: Krakow, Poland
Title of Book: 13th European Conference on Antennas and Propagation (EuCAP)
Date: 20 June 2019
ISBN: 978-88-907018-8-7
Subjects:
Freetext Keywords: Air-to-ground channel; Graph model; Clustering and building impacts
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Ingeniería Audiovisual y Comunicaciones [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Air-to-ground (A2G) communication is envisioned to support numerous applications in 5G wireless networks. In this paper, an active measurement campaign for unmanned aerial vehicle (UAV) channels is introduced. Simulation based on Graph Model (GM) is also conducted for this specific measurement. Both the measured and simulated channel impulse responses (CIRs) are extracted. Based on the CIRs, the multipath components (MPCs) are estimated by using a high-resolution algorithm derived according to the space-alternating generalized expectation-maximization (SAGE) principle. The GM simulation performance is assessed by comparing the concatenated power delay profiles (CPDPs) and MPCs with the measurement results. In addition, an object-labeled clustering method is proposed to further analyze the low altitude UAV channel contributed by individual objects/buildings.

More information

Item ID: 64008
DC Identifier: https://oa.upm.es/64008/
OAI Identifier: oai:oa.upm.es:64008
Official URL: https://www.eucap2019.org/
Deposited by: Memoria Investigacion
Deposited on: 02 Mar 2021 13:06
Last Modified: 02 Mar 2021 13:06
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