liu.seSearch for publications in DiVA
Change search
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
EFFICACY OF MULTIUSER MASSIVE MISO WIRELESS ENERGY TRANSFER UNDER IQ IMBALANCE AND CHANNEL ESTIMATION ERRORS OVER RICIAN FADING
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
2018 (English)In: 2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), IEEE , 2018, p. 3844-3848Conference paper, Published paper (Refereed)
Abstract [en]

We investigate the practical realization of energy beamforming gains in the downlink wireless power transfer from a massive antenna radio frequency (RF) source to multiple single antenna energy harvesting (EH) users. Assuming channel reciprocity for the uplink and downlink channels undergoing Rician fading, we first obtain the least-squares and linear-minimum-mean-square-error channel estimates using the energy-constrained pilot signal transmission from EH users. Due to the usage of low cost hardware at the users and for realizing massive antenna system at the RF source, these estimates are strongly influenced by the transmitter and receiver in-phase-and-quadrature-phase imbalance (IQI). Using these channel estimates, we next derive the harvested power at each user by applying the source transmit precoding that maximizes the sum harvested power among the users. Selected results generated considering practical RF EH system parameters show that IQI and channel estimation errors can lead to about 30% degradation in the sum EH performance.

Place, publisher, year, edition, pages
IEEE , 2018. p. 3844-3848
Keywords [en]
RF energy harvesting; IQ imbalance; massive MISO; channel estimation; LMMSE; least-squares; beamforming
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-152419DOI: 10.1109/ICASSP.2018.8461882ISI: 000446384604002ISBN: 978-1-5386-4658-8 (electronic)ISBN: 978-1-5386-4659-5 (print)OAI: oai:DiVA.org:liu-152419DiVA, id: diva2:1259572
Conference
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Note

Funding Agencies|ELLIIT

Available from: 2018-10-30 Created: 2018-10-30 Last updated: 2018-10-30

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Mishra, DeepakJohansson, Håkan
By organisation
Communication SystemsFaculty of Science & Engineering
Telecommunications

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 130 hits
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