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An Application Specific Vector Processor for Efficient Massive MIMO Processing

Attari, Mohammad (author)
Lund University,Lunds universitet,Integrerade elektroniksystem,Forskargrupper vid Lunds universitet,LTH profilområde: AI och digitalisering,LTH profilområden,Lunds Tekniska Högskola,Integrated Electronic Systems,Lund University Research Groups,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH
Ferreira, Lucas (author)
Lund University,Lunds universitet,Integrerade elektroniksystem,Forskargrupper vid Lunds universitet,LTH profilområde: AI och digitalisering,LTH profilområden,Lunds Tekniska Högskola,Integrated Electronic Systems,Lund University Research Groups,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH
Liu, Liang (author)
Lund University,Lunds universitet,System på chips (master),Utbildningsprogram, LTH,Lunds Tekniska Högskola,Integrerade elektroniksystem,Forskargrupper vid Lunds universitet,LTH profilområde: Nanovetenskap och halvledarteknologi,LTH profilområden,LTH profilområde: AI och digitalisering,Embedded Electronics Engineering (M.Sc.),Educational programmes, LTH,Faculty of Engineering, LTH,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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Malkowsky, Steffen (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 12 s.
In: IEEE Transactions on Circuits and Systems I: Regular Papers. - 1549-8328. ; , s. 1-12
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • This paper presents an implementation for a baseband massive multiple-input multiple-output (MIMO) application-specific instruction set processor (ASIP). The ASIP is geared with vector processing capabilities in the form of single instruction multiple data (SIMD), and furthermore exploits instruction level parallelism by employing a very large instruction word (VLIW) architecture. Additionally, a systolic array is built into the pipeline which is tuned to speed up matrix calculations. A parallel memory subsystem and stand-alone accelerators are integrated into the ASIP architecture in order to meet the processing requirement. The processor is synthesized in 22FD-SOI technology running at a clock frequency of 800 . The system achieves a maximum detection throughput of 0.75 Gb/s/mm $^2$ for a $128\times 8$ massive MIMO system.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Engineering (hsv//eng)

Keyword

5G
accelerator architecture
ASIP
Baseband
baseband processor
communications processor
Complexity theory
Computer architecture
computer architecture
Massive MIMO
massive MIMO
Mathematical models
Matrix decomposition
matrix processor
parallel memory
Precoding
programmable processor
SIMD
systolic arrays
vector processor
VLIW

Publication and Content Type

art (subject category)
ref (subject category)

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Ferreira, Lucas
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Malkowsky, Steff ...
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