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Max-Min Fair Wireless-Powered Cell-Free Massive MIMO for Uncorrelated Rician Fading Channels
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.ORCID iD: 0000-0002-5954-434X
2020 (English)In: 2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), IEEE, 2020Conference paper, Published paper (Refereed)
Abstract [en]

This paper considers cell-free massive multiple-input multiple-output systems where the multiple-antenna access points (APs) assist the single-antenna user equipments (UEs) by wireless power transfer. The UEs utilize the energy harvested in the downlink to transmit uplink pilot and information signals to the APs. We consider practical Rician fading with the line-of-sight components of the channels being phase-shifted in each coherence block. The uplink spectral efficiency (SE) is derived for this model and the max-min fairness problem is considered where the optimization variables are the AP and UE power control coefficients together with the large-scale fading decoding vectors. The objective is to maximize the minimum SE of the users under APs and UEs transmission power constraints. An alternating optimization algorithm is proposed for the solution of the highly-coupled non-convex problem.

Place, publisher, year, edition, pages
IEEE, 2020.
Series
IEEE Wireless Communications and Networking Conference, ISSN 1525-3511, E-ISSN 1558-2612
Keywords [en]
cell-free massive MIMO; max-min fair power control; wireless power transfer; spectral efficiency; Rician fading
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-170706DOI: 10.1109/WCNC45663.2020.9120654ISI: 000569342900199ISBN: 978-1-7281-3106-1 (electronic)ISBN: 978-1-7281-3107-8 (print)OAI: oai:DiVA.org:liu-170706DiVA, id: diva2:1477665
Conference
IEEE Wireless Communications and Networking Conference (IEEE WCNC), ELECTR NETWORK, may 25-28, 2020
Note

Funding Agencies|ELLIIT; Wallenberg AI, Autonomous Systems and Software Program (WASP) - Knut and Alice Wallenberg Foundation

Available from: 2020-10-19 Created: 2020-10-19 Last updated: 2020-10-19

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CiteExportLink to record
Permanent link

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