kth.sePublikationer KTH
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Demystifying the Power Scaling Law of Intelligent Reflecting Surfaces And Metasurfaces
Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..ORCID-id: 0000-0002-5954-434x
Univ Pisa, Dipartimento Ingn Informaz, I-56122 Pisa, Italy..
2019 (Engelska)Ingår i: 2019 IEEE 8th International Workshop On Computational Advances In Multi-Sensor Adaptive Processing (CAMSAP 2019), IEEE , 2019, s. 549-553Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Intelligent reflecting surfaces (IRSs) have recently attracted the attention of communication theorists as a means to control the wireless propagation channel. It has been shown that the signal-to-noise ratio (SNR) of a single-user IRS-aided transmission increases as N 2, with N being the number of passive reflecting elements in the IRS. This has been interpreted as a major potential advantage of using IRSs, instead of conventional Massive MIMO (mMIMO) whose SNR scales only linearly in N. This paper shows that this interpretation is incorrect. We first prove analytically that mMIMO always provides higher SNRs, and then show numerically that the gap is substantial; a very large number of reflecting elements is needed for an IRS to obtain SNRs comparable to mMIMO.

Ort, förlag, år, upplaga, sidor
IEEE , 2019. s. 549-553
Nyckelord [en]
Intelligent reflecting surface, metasurface, reflectarray, Massive MIMO, power scaling law
Nationell ämneskategori
Signalbehandling Telekommunikation
Identifikatorer
URN: urn:nbn:se:kth:diva-296085DOI: 10.1109/CAMSAP45676.2019.9022637ISI: 000556233000107OAI: oai:DiVA.org:kth-296085DiVA, id: diva2:1664530
Konferens
International Workshop On Computational Advances In Multi-Sensor Adaptive Processing (CAMSAP)
Anmärkning

QC 20220620

Tillgänglig från: 2022-06-03 Skapad: 2022-06-03 Senast uppdaterad: 2023-04-25Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltext

Person

Björnson, Emil

Sök vidare i DiVA

Av författaren/redaktören
Björnson, Emil
SignalbehandlingTelekommunikation

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 67 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf