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Optimizing Reconfigurable Intelligent Surfaces for Small Data Packets: A Subarray Approach
KTH Royal Inst Technol, Sweden.
KTH Royal Inst Technol, Sweden.
KTH Royal Inst Technol, Sweden.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering. KTH Royal Inst Technol, Sweden.ORCID iD: 0000-0002-5954-434X
2022 (English)In: IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), IEEE , 2022, p. 2664-2669Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we examine the energy consumption of a user equipment (UE) when it transmits a finite-sized data packet. The receiving base station (BS) controls a reconfigurable intelligent surface (RIS) that can be utilized to improve the channel conditions, if additional pilot signals are transmitted to configure the RIS. We derive a formula for the energy consumption taking both the pilot and data transmission powers into account. By dividing the RIS into subarrays consisting of multiple RIS elements using the same reflection coefficient, the pilot overhead can be tuned to minimize the energy consumption while maintaining parts of the aperture gain. Our analytical results show that there exists an energy-minimizing subarray size. For small data blocks and when the channel conditions between the BS and UE are favorable compared to the path to the RIS, the energy consumption is minimized using large subarrays. When the channel conditions to the RIS are better and the data blocks are large, it is preferable to use fewer elements per subarray and potentially configure the elements individually.

Place, publisher, year, edition, pages
IEEE , 2022. p. 2664-2669
Series
IEEE International Conference on Communications, ISSN 1550-3607
Keywords [en]
Reconfigurable intelligent surface; energy efficiency; phase-shift optimization; subarrays; 6G
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-190501DOI: 10.1109/ICC45855.2022.9839247ISI: 000864709902155ISBN: 9781538683477 (electronic)ISBN: 9781538683484 (print)OAI: oai:DiVA.org:liu-190501DiVA, id: diva2:1718670
Conference
IEEE International Conference on Communications (ICC), Seoul, SOUTH KOREA, may 16-20, 2022
Note

Funding Agencies|Swedish Foundation for Strategic Research [FFL18-0277]

Available from: 2022-12-13 Created: 2022-12-13 Last updated: 2022-12-13

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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  • Other locale
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Output format
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  • asciidoc
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