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SUM THROUGHPUT MAXIMIZATION FOR MULTI-TAG MISO BACKSCATTERING
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3225-6495
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2019 (English)In: 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), IEEE , 2019, p. 7585-7589Conference paper, Published paper (Refereed)
Abstract [en]

Backscatter communication (BSC) is emerging as the core technology for pervasive sustainable internet-of-things applications. However, owing to the resource-limitations of passive tags, this work targets at maximizing the achievable sum-backscattered-throughput by jointly optimizing the transceiver (TRX) design at the full-duplex multiantenna reader and backscattering coefficients (BC) at the single antenna tags. Despite this joint optimization problem being non-convex, we present low-complexity joint TRX-BC designs by exploring the asymptotically-optimal solutions in low and high signal-to-noise-ratio regimes. We discourse that with precoder and detector designs at the reader respectively targeting downlink energy beamforming and uplinkWiener filtering operations, the BC optimization at tags can be reduced to a binary power control problem. Selected computer simulations are presented to validate the analytical claims, shed optimal-design insights, and demonstrate the throughput enhancement of around 20% over the relevant benchmark schemes.

Place, publisher, year, edition, pages
IEEE , 2019. p. 7585-7589
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keywords [en]
Backscatter communication; precoder; MMSE; energy beamforming; power control; zero-forcing; antenna array
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-160639DOI: 10.1109/ICASSP.2019.8683259ISI: 000482554007164ISBN: 978-1-4799-8131-1 (electronic)OAI: oai:DiVA.org:liu-160639DiVA, id: diva2:1360183
Conference
44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Note

Funding Agencies|Swedish Research CouncilSwedish Research Council; ELLIIT

Available from: 2019-10-11 Created: 2019-10-11 Last updated: 2019-10-11

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf