Measurement-based Channel Characterization for A2A and A2G Wireless Drone Communication Systems

Ubeydullah Erdemir; Batuhan Kaplan; Ibrahim Hökelek; Ali Görçin; Hakan Ali Çirpan

doi:10.1109/VTC2023-Spring57618.2023.10199853

Measurement-based Channel Characterization for A2A and A2G Wireless Drone Communication Systems

Ubeydullah Erdemir^*, Batuhan Kaplan^*, Ibrahim Hökelek^*, Ali Görçin^*, Hakan Ali Çirpan

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents field measurement-based channel characterization for air-to-ground (A2G) and air-to- air (A2A) wireless communication systems using two drones equipped with lightweight software-defined radios. A correlation-based channel sounder is employed such that the transmitting drone broadcasts the sounding waveform with a pseudo-noise sequence and the receiving drone captures the sounding waveform together with the location information for the post-processing analysis. The path loss results demonstrate that the measurement and flat-earth two-ray results have similar trends for A2G while the measurement and free space path loss are similar to each other for A2A. The time delays between the direct path and multipath components are widely spread for A2A while the multipath components are mostly concentrated around the direct path for A2G generating a more challenging communication environment. We observe that the reflections from several buildings having metal roofs and claddings on the measurement site cause sudden peaks in the root-mean-square delay spread. The results indicate that the A2A channel has better characteristics than the A2G under similar mobility conditions.

Original language	English
Title of host publication	2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350311143
DOIs	https://doi.org/10.1109/VTC2023-Spring57618.2023.10199853
Publication status	Published - 2023
Event	97th IEEE Vehicular Technology Conference, VTC 2023-Spring - Florence, Italy Duration: 20 Jun 2023 → 23 Jun 2023

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2023-June
ISSN (Print)	1550-2252

Conference

Conference	97th IEEE Vehicular Technology Conference, VTC 2023-Spring
Country/Territory	Italy
City	Florence
Period	20/06/23 → 23/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

ACKNOWLEDGMENT We thank to StorAIge project that has received funding from the KDT Joint Undertaking (JU) under Grant Agreement No. 101007321. The JU receives support from the European Union’s Horizon 2020 research and innovation programme in France, Belgium, Czech Republic, Germany, Italy, Sweden, Switzerland, Türkiye, and National Authority TÜB˙TAK with project ID 121N350.

Funders	Funder number
National Authority TÜB˙TAK	121N350
Horizon 2020 Framework Programme

Keywords

5G
A2A
A2G
channel sounder
drone communication
measurements

Access to Document

10.1109/VTC2023-Spring57618.2023.10199853

Cite this

Erdemir, U., Kaplan, B., Hökelek, I., Görçin, A., & Çirpan, H. A. (2023). Measurement-based Channel Characterization for A2A and A2G Wireless Drone Communication Systems. In 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings (IEEE Vehicular Technology Conference; Vol. 2023-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2023-Spring57618.2023.10199853

@inproceedings{25ac9bb4204a4ae294b06b511037eb8f,

title = "Measurement-based Channel Characterization for A2A and A2G Wireless Drone Communication Systems",

abstract = "This paper presents field measurement-based channel characterization for air-to-ground (A2G) and air-to- air (A2A) wireless communication systems using two drones equipped with lightweight software-defined radios. A correlation-based channel sounder is employed such that the transmitting drone broadcasts the sounding waveform with a pseudo-noise sequence and the receiving drone captures the sounding waveform together with the location information for the post-processing analysis. The path loss results demonstrate that the measurement and flat-earth two-ray results have similar trends for A2G while the measurement and free space path loss are similar to each other for A2A. The time delays between the direct path and multipath components are widely spread for A2A while the multipath components are mostly concentrated around the direct path for A2G generating a more challenging communication environment. We observe that the reflections from several buildings having metal roofs and claddings on the measurement site cause sudden peaks in the root-mean-square delay spread. The results indicate that the A2A channel has better characteristics than the A2G under similar mobility conditions.",

keywords = "5G, A2A, A2G, channel sounder, drone communication, measurements",

author = "Ubeydullah Erdemir and Batuhan Kaplan and Ibrahim H{\"o}kelek and Ali G{\"o}r{\c c}in and {\c C}irpan, {Hakan Ali}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 97th IEEE Vehicular Technology Conference, VTC 2023-Spring ; Conference date: 20-06-2023 Through 23-06-2023",

year = "2023",

doi = "10.1109/VTC2023-Spring57618.2023.10199853",

language = "English",

series = "IEEE Vehicular Technology Conference",

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Erdemir, U, Kaplan, B, Hökelek, I, Görçin, A & Çirpan, HA 2023, Measurement-based Channel Characterization for A2A and A2G Wireless Drone Communication Systems. in 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. IEEE Vehicular Technology Conference, vol. 2023-June, Institute of Electrical and Electronics Engineers Inc., 97th IEEE Vehicular Technology Conference, VTC 2023-Spring, Florence, Italy, 20/06/23. https://doi.org/10.1109/VTC2023-Spring57618.2023.10199853

Measurement-based Channel Characterization for A2A and A2G Wireless Drone Communication Systems. / Erdemir, Ubeydullah; Kaplan, Batuhan; Hökelek, Ibrahim et al.
2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE Vehicular Technology Conference; Vol. 2023-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Measurement-based Channel Characterization for A2A and A2G Wireless Drone Communication Systems

AU - Erdemir, Ubeydullah

AU - Kaplan, Batuhan

AU - Hökelek, Ibrahim

AU - Görçin, Ali

AU - Çirpan, Hakan Ali

PY - 2023

Y1 - 2023

N2 - This paper presents field measurement-based channel characterization for air-to-ground (A2G) and air-to- air (A2A) wireless communication systems using two drones equipped with lightweight software-defined radios. A correlation-based channel sounder is employed such that the transmitting drone broadcasts the sounding waveform with a pseudo-noise sequence and the receiving drone captures the sounding waveform together with the location information for the post-processing analysis. The path loss results demonstrate that the measurement and flat-earth two-ray results have similar trends for A2G while the measurement and free space path loss are similar to each other for A2A. The time delays between the direct path and multipath components are widely spread for A2A while the multipath components are mostly concentrated around the direct path for A2G generating a more challenging communication environment. We observe that the reflections from several buildings having metal roofs and claddings on the measurement site cause sudden peaks in the root-mean-square delay spread. The results indicate that the A2A channel has better characteristics than the A2G under similar mobility conditions.

AB - This paper presents field measurement-based channel characterization for air-to-ground (A2G) and air-to- air (A2A) wireless communication systems using two drones equipped with lightweight software-defined radios. A correlation-based channel sounder is employed such that the transmitting drone broadcasts the sounding waveform with a pseudo-noise sequence and the receiving drone captures the sounding waveform together with the location information for the post-processing analysis. The path loss results demonstrate that the measurement and flat-earth two-ray results have similar trends for A2G while the measurement and free space path loss are similar to each other for A2A. The time delays between the direct path and multipath components are widely spread for A2A while the multipath components are mostly concentrated around the direct path for A2G generating a more challenging communication environment. We observe that the reflections from several buildings having metal roofs and claddings on the measurement site cause sudden peaks in the root-mean-square delay spread. The results indicate that the A2A channel has better characteristics than the A2G under similar mobility conditions.

KW - 5G

KW - A2A

KW - A2G

KW - channel sounder

KW - drone communication

KW - measurements

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DO - 10.1109/VTC2023-Spring57618.2023.10199853

M3 - Conference contribution

AN - SCOPUS:85169845118

T3 - IEEE Vehicular Technology Conference

BT - 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 97th IEEE Vehicular Technology Conference, VTC 2023-Spring

Y2 - 20 June 2023 through 23 June 2023

ER -

Erdemir U, Kaplan B, Hökelek I, Görçin A , Çirpan HA. Measurement-based Channel Characterization for A2A and A2G Wireless Drone Communication Systems. In 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (IEEE Vehicular Technology Conference). doi: 10.1109/VTC2023-Spring57618.2023.10199853

Measurement-based Channel Characterization for A2A and A2G Wireless Drone Communication Systems

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

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Cite this