A scalable-low cost architecture for high gain beamforming antennas

Osman Bakr; Mark Johnson; Jungdong Park; Ehsan Adabi; Kevin Jones; Ali Niknejad

doi:10.1109/ARRAY.2010.5613269

A scalable-low cost architecture for high gain beamforming antennas

Osman Bakr^*, Mark Johnson, Jungdong Park, Ehsan Adabi, Kevin Jones, Ali Niknejad

^*Corresponding author for this work

Physical Sciences and Engineering

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

4 Scopus citations

Abstract

Many state-of-the-art wireless systems, such as long distance mesh networks and high bandwidth networks using mm-wave frequencies, require high gain antennas to overcome adverse channel conditions. These networks could be greatly aided by adaptive beamforming antenna arrays, which can significantly simplify the installation and maintenance costs (e.g., by enabling automatic beam alignment). However, building large, low cost beamforming arrays is very complicated. In this paper, we examine the main challenges presented by large arrays, starting from electromagnetic and antenna design and proceeding to the signal processing and algorithms domain. We propose 3-dimensional antenna structures and hybrid RF/digital radio architectures that can significantly reduce the complexity and improve the power efficiency of adaptive array systems. We also present signal processing techniques based on adaptive filtering methods that enhance the robustness of these architectures. Finally, we present computationally efficient vector quantization techniques that significantly improve the interference cancellation capabilities of analog beamforming architectures.

Original language	English (US)
Title of host publication	2010 IEEE International Symposium on Phased Array Systems and Technology, Array 2010
Pages	806-813
Number of pages	8
DOIs	https://doi.org/10.1109/ARRAY.2010.5613269
State	Published - 2010
Event	4th IEEE International Symposium on Phased Array Systems and Technology, Array 2010 - Boston, MA, United States Duration: Oct 12 2010 → Oct 15 2010

Publication series

Name	IEEE International Symposium on Phased Array Systems and Technology

Conference

Conference	4th IEEE International Symposium on Phased Array Systems and Technology, Array 2010
Country/Territory	United States
City	Boston, MA
Period	10/12/10 → 10/15/10

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Omar Bakr’s research is sponsored by a fellowship fromKing Abdullah University of Science and Technology. Theauthors would also like to acknowledge the students, facultyand sponsors of the Berkeley Wireless Research Center, andthe National Science Foundation Infrastructure Grant No.0403427.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ARRAY.2010.5613269

Cite this

Bakr, O., Johnson, M., Park, J., Adabi, E., Jones, K., & Niknejad, A. (2010). A scalable-low cost architecture for high gain beamforming antennas. In 2010 IEEE International Symposium on Phased Array Systems and Technology, Array 2010 (pp. 806-813). Article 5613269 (IEEE International Symposium on Phased Array Systems and Technology). https://doi.org/10.1109/ARRAY.2010.5613269

@inproceedings{2148fdb23eb54c7f9cfb44de8ec431f9,

title = "A scalable-low cost architecture for high gain beamforming antennas",

abstract = "Many state-of-the-art wireless systems, such as long distance mesh networks and high bandwidth networks using mm-wave frequencies, require high gain antennas to overcome adverse channel conditions. These networks could be greatly aided by adaptive beamforming antenna arrays, which can significantly simplify the installation and maintenance costs (e.g., by enabling automatic beam alignment). However, building large, low cost beamforming arrays is very complicated. In this paper, we examine the main challenges presented by large arrays, starting from electromagnetic and antenna design and proceeding to the signal processing and algorithms domain. We propose 3-dimensional antenna structures and hybrid RF/digital radio architectures that can significantly reduce the complexity and improve the power efficiency of adaptive array systems. We also present signal processing techniques based on adaptive filtering methods that enhance the robustness of these architectures. Finally, we present computationally efficient vector quantization techniques that significantly improve the interference cancellation capabilities of analog beamforming architectures.",

author = "Osman Bakr and Mark Johnson and Jungdong Park and Ehsan Adabi and Kevin Jones and Ali Niknejad",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: Omar Bakr{\textquoteright}s research is sponsored by a fellowship fromKing Abdullah University of Science and Technology. Theauthors would also like to acknowledge the students, facultyand sponsors of the Berkeley Wireless Research Center, andthe National Science Foundation Infrastructure Grant No.0403427. This publication acknowledges KAUST support, but has no KAUST affiliated authors.; 4th IEEE International Symposium on Phased Array Systems and Technology, Array 2010 ; Conference date: 12-10-2010 Through 15-10-2010",

year = "2010",

doi = "10.1109/ARRAY.2010.5613269",

language = "English (US)",

isbn = "9781424451272",

series = "IEEE International Symposium on Phased Array Systems and Technology",

pages = "806--813",

booktitle = "2010 IEEE International Symposium on Phased Array Systems and Technology, Array 2010",

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Bakr, O, Johnson, M, Park, J, Adabi, E, Jones, K & Niknejad, A 2010, A scalable-low cost architecture for high gain beamforming antennas. in 2010 IEEE International Symposium on Phased Array Systems and Technology, Array 2010., 5613269, IEEE International Symposium on Phased Array Systems and Technology, pp. 806-813, 4th IEEE International Symposium on Phased Array Systems and Technology, Array 2010, Boston, MA, United States, 10/12/10. https://doi.org/10.1109/ARRAY.2010.5613269

A scalable-low cost architecture for high gain beamforming antennas. / Bakr, Osman; Johnson, Mark; Park, Jungdong et al.
2010 IEEE International Symposium on Phased Array Systems and Technology, Array 2010. 2010. p. 806-813 5613269 (IEEE International Symposium on Phased Array Systems and Technology).

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

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AU - Niknejad, Ali

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: Omar Bakr’s research is sponsored by a fellowship fromKing Abdullah University of Science and Technology. Theauthors would also like to acknowledge the students, facultyand sponsors of the Berkeley Wireless Research Center, andthe National Science Foundation Infrastructure Grant No.0403427. This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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N2 - Many state-of-the-art wireless systems, such as long distance mesh networks and high bandwidth networks using mm-wave frequencies, require high gain antennas to overcome adverse channel conditions. These networks could be greatly aided by adaptive beamforming antenna arrays, which can significantly simplify the installation and maintenance costs (e.g., by enabling automatic beam alignment). However, building large, low cost beamforming arrays is very complicated. In this paper, we examine the main challenges presented by large arrays, starting from electromagnetic and antenna design and proceeding to the signal processing and algorithms domain. We propose 3-dimensional antenna structures and hybrid RF/digital radio architectures that can significantly reduce the complexity and improve the power efficiency of adaptive array systems. We also present signal processing techniques based on adaptive filtering methods that enhance the robustness of these architectures. Finally, we present computationally efficient vector quantization techniques that significantly improve the interference cancellation capabilities of analog beamforming architectures.

AB - Many state-of-the-art wireless systems, such as long distance mesh networks and high bandwidth networks using mm-wave frequencies, require high gain antennas to overcome adverse channel conditions. These networks could be greatly aided by adaptive beamforming antenna arrays, which can significantly simplify the installation and maintenance costs (e.g., by enabling automatic beam alignment). However, building large, low cost beamforming arrays is very complicated. In this paper, we examine the main challenges presented by large arrays, starting from electromagnetic and antenna design and proceeding to the signal processing and algorithms domain. We propose 3-dimensional antenna structures and hybrid RF/digital radio architectures that can significantly reduce the complexity and improve the power efficiency of adaptive array systems. We also present signal processing techniques based on adaptive filtering methods that enhance the robustness of these architectures. Finally, we present computationally efficient vector quantization techniques that significantly improve the interference cancellation capabilities of analog beamforming architectures.

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ER -

A scalable-low cost architecture for high gain beamforming antennas

Abstract

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Bibliographical note

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