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X-Array: approximating omnidirectional millimeter-wave coverage using an array of phased arrays

Authors:

Sujit DeyAuthors Info & Claims

MobiCom '20: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

Article No.: 5, Pages 1 - 14

https://doi.org/10.1145/3372224.3380882

Published: 17 April 2020 Publication History

Abstract

Millimeter-wave (mmWave) networks are conventionally considered to bear a fundamental coverage limitation, due to the directional beams and limited field-of-view (FoV) of the phased array antennas. In this paper, we explore an array of phased arrays (APA) architecture, which aggregates co-located phased arrays with complementary FoVs to approximate WiFi-like omni-directional coverage. We found that straightforwardly activating all the arrays may even hamper network performance. To fully exploit the APA's potential, we propose X-Array, which jointly selects the arrays and beams, and applies a dynamic co-phasing mechanism to ensure different arrays' signals enhance each other. X-Array also incorporates a link recovery mechanism to identify alternative arrays/beams that can efficiently recover the link from outage. We have implemented X-Array on a commodity 802.11ad APA radio. Our experiments demonstrate that X-Array can approach omni-directional coverage and maintain high performance in spite of link dynamics.

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Index Terms

X-Array: approximating omnidirectional millimeter-wave coverage using an array of phased arrays
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Wireless devices
  2. Emerging technologies
    1. Analysis and design of emerging devices and systems
2. Networks
  1. Network performance evaluation
    1. Network experimentation
  2. Network properties
    1. Network mobility

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MobiCom '20: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

April 2020

621 pages

ISBN:9781450370851

DOI:10.1145/3372224

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Published: 17 April 2020

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MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking

September 21 - 25, 2020

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Zhang HXie JWan YFu SLu K(2024)Advancing Networked Airborne Computing with MmWave for Air-to-Air CommunicationsProceedings of the International Symposium on Intelligent Computing and Networking 202410.1007/978-3-031-67447-1_3(34-50)Online publication date: 8-Aug-2024
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