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  • Gustafsson, Oscar,1973-Linköpings universitet,Datorteknik,Tekniska fakulteten (author)

Approximate Neumann Series or Exact Matrix Inversion for Massive MIMO? (Invited Paper)

  • Article/chapterEnglish2017

Publisher, publication year, extent ...

  • Institute of Electrical and Electronics Engineers (IEEE),2017
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:liu-139337
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139337URI
  • https://doi.org/10.1109/ARITH.2017.11DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:kon swepub-publicationtype

Notes

  • Approximate matrix inversion based on Neumann series has seen a recent increased interest motivated by massive MIMO systems. There, the matrices are in many cases diagonally dominant, and, hence, a reasonable approximation can be obtained within a few iterations of a Neumann series. In this work, we clarify that the complexity of exact methods are about the same as when three terms are used for the Neumann series, so in this case, the complexity is not lower as often claimed. The second common argument for Neumann series approximation, higher parallelism, is indeed correct. However, in most current practical use cases, such a high degree of parallelism is not required to obtain a low latency realization. Hence, we conclude that a careful evaluation, based on accuracy and latency requirements must be performed and that exact matrix inversion is in fact viable in many more cases than the current literature claims.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Bertilsson, Erik,1990-Linköpings universitet,Datorteknik,Tekniska fakulteten(Swepub:liu)eribe24 (author)
  • Klasson, JohannesLinköpings universitet,Datorteknik,Tekniska fakulteten (author)
  • Ingemarsson, Carl,1983-Linköpings universitet,Datorteknik,Tekniska fakulteten(Swepub:liu)carin50 (author)
  • Linköpings universitetDatorteknik (creator_code:org_t)

Related titles

  • In:Proceedings 2017 IEEE 24th Symposium on Computer Arithmetic (ARITH), London, UK, 24-26 July 2017: Institute of Electrical and Electronics Engineers (IEEE), s. 62-63978153861965097815386196439781538619667

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