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Distributed and Scalable Uplink Processing for LIS : Algorithm, Architecture, and Design Trade-Offs

Sánchez, Jesús Rodríguez (author)
Lund University,Lunds universitet,Integrerade elektroniksystem,Forskargrupper vid Lunds universitet,Kommunikationsteknologi,LTH profilområde: AI och digitalisering,LTH profilområden,Lunds Tekniska Högskola,Integrated Electronic Systems,Lund University Research Groups,Communications Engineering,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH
Rusek, Fredrik (author)
Lund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,LTH profilområde: AI och digitalisering,LTH profilområden,Lunds Tekniska Högskola,Communications Engineering,Lund University Research Groups,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH
Edfors, Ove (author)
Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,LTH profilområde: AI och digitalisering,LTH profilområden,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH,Communications Engineering,Lund University Research Groups,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH
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Liu, Liang (author)
Lund University,Lunds universitet,Integrerade elektroniksystem,Forskargrupper vid Lunds universitet,LTH profilområde: Nanovetenskap och halvledarteknologi,LTH profilområden,Lunds Tekniska Högskola,LTH profilområde: AI och digitalisering,Integrated Electronic Systems,Lund University Research Groups,LTH Profile Area: Nanoscience and Semiconductor Technology,LTH Profile areas,Faculty of Engineering, LTH,LTH Profile Area: AI and Digitalization,Faculty of Engineering, LTH
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 (creator_code:org_t)
2022
2022
English 15 s.
In: IEEE Transactions on Signal Processing. - 1053-587X. ; 70, s. 2639-2653
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • The Large Intelligent Surface (LIS) is a promising technology in the areas of wireless communication, remote sensing and positioning. It consists of a continuous radiating surface located in the proximity of the users, with the capability to communicate by transmission and reception (replacing base stations). Despite its potential, there are numerous challenges from an implementation point of view, with the interconnection data-rate, computational complexity, and storage the most relevant ones. In order to address these challenges, hierarchical architectures with distributed processing techniques are envisioned to be relevant for this task, while ensuring scalability. In this work we perform algorithm-Architecture codesign to propose two distributed interference cancellation algorithms, and a tree-based interconnection topology for uplink processing. We also analyze the performance, hardware requirements, and architecture trade-offs for a discrete LIS, in order to provide concrete case studies and guidelines for efficient implementation of LIS systems.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)

Keyword

algorithm-Architecture codesign
distributed processing
equalization
inter-connection data-rate
Large intelligent surface
LIS

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art (subject category)
ref (subject category)

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