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Utility-Based Precoding Optimization Framework for Large Intelligent Surfaces
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5954-434X
Univ Pisa, Italy.
2019 (English)In: CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, IEEE , 2019, p. 863-867Conference paper, Published paper (Refereed)
Abstract [en]

The spectral efficiency of wireless networks can be made nearly infinitely large by deploying many antennas, but the deployment of very many antennas requires new topologies beyond the compact and discrete antenna arrays used by conventional base stations. In this paper, we consider the large intelligent surface scenario where small antennas are deployed on a large and dense two-dimensional grid. Building on the heritage of MIMO, we first analyze the beamwidth and sidelobes when transmitting from large intelligent surfaces. We compare different precoding schemes and determine how to optimize the transmit power with respect to different utility functions.

Place, publisher, year, edition, pages
IEEE , 2019. p. 863-867
Series
Conference Record of the Asilomar Conference on Signals Systems and Computers, ISSN 1058-6393
Keywords [en]
Large intelligent surface; precoding optimization; zero-forcing; asymptotic analysis
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-168232DOI: 10.1109/IEEECONF44664.2019.9048962ISI: 000544249200167ISBN: 978-1-7281-4300-2 (electronic)OAI: oai:DiVA.org:liu-168232DiVA, id: diva2:1459415
Conference
53rd Asilomar Conference on Signals, Systems, and Computers
Note

Funding Agencies|ELLIIT; CENIIT; Pisa University under the PRA 2018-2019 Project CONCEPT

Available from: 2020-08-19 Created: 2020-08-19 Last updated: 2020-08-19

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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
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf