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Conformal Beam-Steering Antenna Controlled by a Raspberry Pi for Sustained High-Throughput Applications

Pal, A and Mehta, A and Goonesinghe, H and Mirshekar-Syahkal, D and Nakano, H (2018) 'Conformal Beam-Steering Antenna Controlled by a Raspberry Pi for Sustained High-Throughput Applications.' IEEE Transactions on Antennas and Propagation, 66 (2). pp. 918-926. ISSN 0018-926X

IEEEtransraspberrypi_25_11_2017.pdf - Accepted Version

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A complete autonomous system consisting of a beam-steerable hemispherical square-loop antenna (HSLA) controlled by a Raspberry Pi is presented for optimizing the throughput in a scattered and a poor signal-to-noise ratio environment. Four different indoor communication configurations at various distances were analyzed in the presence of interferences. In three configurations, HSLA performance was also compared to that of a standard monopole antenna link. It was found that HSLA can offer up to 1450% higher throughput and can withstand much higher interference levels before the system breaks. In terms of quality, this means sustaining compressed high-definition communications. In effect, it improves the system throughput for the test 2.4 GHz (802.11b/g/n) WiFi band. The uniqueness about the system is that it only uses single antenna for both sensing and communication. The algorithm works at application layer that controls the RF switch and antenna patterns at physical layer. Thus, the entire middle protocol layers are untouched. The system can easily be retrofitted to the existing nonadaptive communication systems.

Item Type: Article
Uncontrolled Keywords: Adaptive algorithm; beam steering; high-definition (HD) video; impedance matching; Raspberry Pi; received signal strength indicator; square-loop antenna (SLA); throughput
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 09 Jul 2018 14:37
Last Modified: 23 Sep 2022 19:20

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