AirBeam: Experimental demonstration of distributed beamforming by a swarm of UAVs

Subhramoy Mohanti; Carlos Bocanegra; Jason Meyer; Gokhan Secinti; Mithun Diddi; Hanumant Singh; Kaushik Chowdhury

doi:10.1109/MASS.2019.00028

AirBeam: Experimental demonstration of distributed beamforming by a swarm of UAVs

Subhramoy Mohanti, Carlos Bocanegra, Jason Meyer, Gokhan Secinti, Mithun Diddi, Hanumant Singh, Kaushik Chowdhury

Bilgisayar Mühendisliği Bölümü

Northeastern University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

31 Atıf (Scopus)

Özet

We propose AirBeam, the first complete algorithmic framework and systems implementation of distributed air-to-ground beamforming on a fleet of UAVs. AirBeam synchronizes software defined radios (SDRs) mounted on each UAV and assigns beamforming weights to ensure high levels of directivity. We show through an exhaustive set of the experimental studies on UAVs why this problem is difficult given the continuous hovering-related fluctuations, the need to ensure timely feedback from the ground receiver due to the channel coherence time, and the size, weight, power and cost (SWaP-C) constraints for UAVs. AirBeam addresses these challenges through: (i) a channel state estimation method using Gold sequences that is used for setting the suitable beamforming weights, (ii) adaptively starting transmission to synchronize the action of the distributed radios, (iii) a channel state feedback process that exploits statistical knowledge of hovering characteristics. Finally, AirBeam provides insights from a systems integration viewpoint, with reconfigurable B210 SDRs mounted on a fleet of DJI M100 UAVs, using GnuRadio running on an embedded computing host.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	162-170
Sayfa sayısı	9
ISBN (Elektronik)	9781728146010
DOI'lar	https://doi.org/10.1109/MASS.2019.00028
Yayın durumu	Yayınlandı - Kas 2019
Etkinlik	16th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019 - Monterey, United States Süre: 4 Kas 2019 → 7 Kas 2019

Yayın serisi

Adı	Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	16th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019
Ülke/Bölge	United States
Şehir	Monterey
Periyot	4/11/19 → 7/11/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Finansman

VI. CONCLUSION AirBeam achieves aerial beamforming communication under practical SWaP-C constraints. We have demonstrated the feasibility of a practical system with preliminary experiments and provided extensive systems level implementation on a real test bed. Comparing the performance of data communications with traditional aerial networks, we see that our approach achieves 30-40% reduction in BER, when the numbers of UAV transmitters are increased from 1 to 4 and 99% probability of BER to be near 0 with this approach. Our next steps will focus on demonstrating enhanced beamforming algorithms that can operate even with intermittent CSI information resulting from losses from the receiver-generated feedback packets. ACKNOWLEDGMENT This work is supported by DARPA under grant N66001-17-1-4042. We are grateful to Dr. Tom Rondeau, program manager at DARPA, for his insightful comments and suggestions that significantly improved the quality of the work.

Finansörler	Finansör numarası
Defense Advanced Research Projects Agency	N66001-17-1-4042

Belgeye Erişim

10.1109/MASS.2019.00028

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Mohanti, S., Bocanegra, C., Meyer, J., Secinti, G., Diddi, M., Singh, H., & Chowdhury, K. (2019). AirBeam: Experimental demonstration of distributed beamforming by a swarm of UAVs. In Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019 (pp. 162-170). Makale 9077393 (Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MASS.2019.00028

Mohanti, Subhramoy ; Bocanegra, Carlos ; Meyer, Jason et al. / AirBeam : Experimental demonstration of distributed beamforming by a swarm of UAVs. Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 162-170 (Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019).

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title = "AirBeam: Experimental demonstration of distributed beamforming by a swarm of UAVs",

abstract = "We propose AirBeam, the first complete algorithmic framework and systems implementation of distributed air-to-ground beamforming on a fleet of UAVs. AirBeam synchronizes software defined radios (SDRs) mounted on each UAV and assigns beamforming weights to ensure high levels of directivity. We show through an exhaustive set of the experimental studies on UAVs why this problem is difficult given the continuous hovering-related fluctuations, the need to ensure timely feedback from the ground receiver due to the channel coherence time, and the size, weight, power and cost (SWaP-C) constraints for UAVs. AirBeam addresses these challenges through: (i) a channel state estimation method using Gold sequences that is used for setting the suitable beamforming weights, (ii) adaptively starting transmission to synchronize the action of the distributed radios, (iii) a channel state feedback process that exploits statistical knowledge of hovering characteristics. Finally, AirBeam provides insights from a systems integration viewpoint, with reconfigurable B210 SDRs mounted on a fleet of DJI M100 UAVs, using GnuRadio running on an embedded computing host.",

keywords = "Distributed beamforming, FPGA, Software Defined Radio, Unmanned Aerial Vehicle",

author = "Subhramoy Mohanti and Carlos Bocanegra and Jason Meyer and Gokhan Secinti and Mithun Diddi and Hanumant Singh and Kaushik Chowdhury",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 16th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019 ; Conference date: 04-11-2019 Through 07-11-2019",

year = "2019",

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doi = "10.1109/MASS.2019.00028",

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series = "Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019",

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Mohanti, S, Bocanegra, C, Meyer, J, Secinti, G, Diddi, M, Singh, H & Chowdhury, K 2019, AirBeam: Experimental demonstration of distributed beamforming by a swarm of UAVs. in Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019., 9077393, Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019, Institute of Electrical and Electronics Engineers Inc., pp. 162-170, 16th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019, Monterey, United States, 4/11/19. https://doi.org/10.1109/MASS.2019.00028

AirBeam: Experimental demonstration of distributed beamforming by a swarm of UAVs. / Mohanti, Subhramoy; Bocanegra, Carlos; Meyer, Jason et al.
Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 162-170 9077393 (Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - AirBeam

T2 - 16th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019

AU - Mohanti, Subhramoy

AU - Bocanegra, Carlos

AU - Meyer, Jason

AU - Secinti, Gokhan

AU - Diddi, Mithun

AU - Singh, Hanumant

AU - Chowdhury, Kaushik

PY - 2019/11

Y1 - 2019/11

N2 - We propose AirBeam, the first complete algorithmic framework and systems implementation of distributed air-to-ground beamforming on a fleet of UAVs. AirBeam synchronizes software defined radios (SDRs) mounted on each UAV and assigns beamforming weights to ensure high levels of directivity. We show through an exhaustive set of the experimental studies on UAVs why this problem is difficult given the continuous hovering-related fluctuations, the need to ensure timely feedback from the ground receiver due to the channel coherence time, and the size, weight, power and cost (SWaP-C) constraints for UAVs. AirBeam addresses these challenges through: (i) a channel state estimation method using Gold sequences that is used for setting the suitable beamforming weights, (ii) adaptively starting transmission to synchronize the action of the distributed radios, (iii) a channel state feedback process that exploits statistical knowledge of hovering characteristics. Finally, AirBeam provides insights from a systems integration viewpoint, with reconfigurable B210 SDRs mounted on a fleet of DJI M100 UAVs, using GnuRadio running on an embedded computing host.

AB - We propose AirBeam, the first complete algorithmic framework and systems implementation of distributed air-to-ground beamforming on a fleet of UAVs. AirBeam synchronizes software defined radios (SDRs) mounted on each UAV and assigns beamforming weights to ensure high levels of directivity. We show through an exhaustive set of the experimental studies on UAVs why this problem is difficult given the continuous hovering-related fluctuations, the need to ensure timely feedback from the ground receiver due to the channel coherence time, and the size, weight, power and cost (SWaP-C) constraints for UAVs. AirBeam addresses these challenges through: (i) a channel state estimation method using Gold sequences that is used for setting the suitable beamforming weights, (ii) adaptively starting transmission to synchronize the action of the distributed radios, (iii) a channel state feedback process that exploits statistical knowledge of hovering characteristics. Finally, AirBeam provides insights from a systems integration viewpoint, with reconfigurable B210 SDRs mounted on a fleet of DJI M100 UAVs, using GnuRadio running on an embedded computing host.

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AN - SCOPUS:85085053359

T3 - Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019

SP - 162

EP - 170

BT - Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 November 2019 through 7 November 2019

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Mohanti S, Bocanegra C, Meyer J, Secinti G, Diddi M, Singh H et al. AirBeam: Experimental demonstration of distributed beamforming by a swarm of UAVs. In Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 162-170. 9077393. (Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019). doi: 10.1109/MASS.2019.00028

AirBeam: Experimental demonstration of distributed beamforming by a swarm of UAVs

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