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BER Analysis of a Backscatter CommunicationSystem With Non-Orthogonal Multiple Access
National University of Science and Technology (NUST), Pakistan.
National University of Science and Technology (NUST), Pakistan.
Incheon National University, South Korea.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Communication Systems and Networks (CSN))ORCID iD: 0000-0003-3717-7793
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2021 (English)In: IEEE Transaction on Green Communications and Networking, E-ISSN 2473-2400, Vol. 5, no 2, p. 574-586Article in journal (Refereed) Published
Abstract [en]

Backscatter communication (BackCom) has been emerging as a prospective candidate in tackling lifetime management problems for massively deployed Internet-of-things (IoT) devices, which suffer from battery related issues, i.e., replacements, charging, and recycling. This passive sensing approach allows a backscatter sensor node (BSN) to transmit information by reflecting the incident signal from a carrier emitter without8 initiating its transmission. To multiplex multiple BSNs, power domain non-orthogonal multiple access (NOMA) is fully exploited in this work. In this paper, we present the design and analysis of a NOMA enhanced bistatic BackCom system for a battery less smart communication paradigm. Specifically, we derive the closed-form bit error rate (BER) expressions for a cluster of two devices in a bistatic BackCom system employing NOMA with imperfect successive interference cancellation under Nakagami-m fading channel. The obtained expressions are utilized to evaluate the reflection coefficients of devices needed for the most favorable system performance along with the performance comparison with orthogonal multiple access-time domain multiple access scheme (OMA-TDMA).

Place, publisher, year, edition, pages
IEEE, 2021. Vol. 5, no 2, p. 574-586
Keywords [en]
Bit error rate, Backscatter communication, IoT, NOMA
National Category
Communication Systems Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-41729DOI: 10.1109/TGCN.2021.3068105ISI: 000655126900003Scopus ID: 2-s2.0-85103278750OAI: oai:DiVA.org:miun-41729DiVA, id: diva2:1539707
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NIITWICOM
Funder
Knowledge FoundationAvailable from: 2021-03-25 Created: 2021-03-25 Last updated: 2021-06-17Bibliographically approved

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Mahmood, AamirGidlund, Mikael

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CiteExportLink to record
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