Evidence map›Paper›PMID 35408051›Full record

ReviewSensors (Basel, Switzerland)2022

Design and Application of Intelligent Reflecting Surface (IRS) for Beyond 5G Wireless Networks: A Review.

Fred Chimzi Okogbaa, Qasim Zeeshan Ahmed, Fahd Ahmed Khan, Waqas Bin Abbas, Fuhu Che, Syed Ali Raza Zaidi, Temitope Alade

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fred Chimzi OkogbaaSchool of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK.
Qasim Zeeshan AhmedSchool of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK.ORCID 0000-0002-3957-5341
Fahd Ahmed KhanSchool of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad 44000, Pakistan.
Waqas Bin AbbasSchool of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK.
Fuhu CheSchool of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK.
Syed Ali Raza ZaidiSchool of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0003-1969-3727
Temitope AladeComputer Science at the Department of Computing and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The existing sub-6 GHz band is insufficient to support the bandwidth requirement of emerging data-rate-hungry applications and Internet of Things devices, requiring ultrareliable low latency communication (URLLC), thus making the migration to millimeter-wave (mmWave) bands inevitable. A notable disadvantage of a mmWave band is the significant losses suffered at higher frequencies that may not be overcome by novel optimization algorithms at the transmitter and receiver and thus result in a performance degradation. To address this, Intelligent Reflecting Surface (IRS) is a new technology capable of transforming the wireless channel from a highly probabilistic to a highly deterministic channel and as a result, overcome the significant losses experienced in the mmWave band. This paper aims to survey the design and applications of an IRS, a 2-dimensional (2D) passive metasurface with the ability to control the wireless propagation channel and thus achieve better spectral efficiency (SE) and energy efficiency (EE) to aid the fifth and beyond generation to deliver the required data rate to support current and emerging technologies. It is imperative that the future wireless technology evolves toward an intelligent software paradigm, and the IRS is expected to be a key enabler in achieving this task. This work provides a detailed survey of the IRS technology, limitations in the current research, and the related research opportunities and possible solutions.

Indexed as

5G networksintelligent reflecting surfaces (IRS)IoTmmWaveURLLC

Identifiers

PMID35408051
PMCPMC9003338

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.