Evidence map›Paper›PMID 36345554›Full record

ArticleIEEE transactions on molecular, biological, and multi-scale communications2022

Body-Centric Terahertz Networks: Prospects and Challenges.

Nasir Saeed, Mohamed Habib Loukil, Hadi Sarieddeen, Tareq Y Al-Naffouri, Mohamed-Slim Alouini

Abstract read
In one paragraph

Article in IEEE transactions on molecular, biological, and multi-scale communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

5 authors.

Nasir SaeedDepartment of Electrical EngineeringNorthern Border University Arar 9280 Saudi Arabia.ORCID https://orcid.org/0000-0002-5123-5139
Mohamed Habib LoukilDepartment of Computer, Electrical and Mathematical Sciences and EngineeringKing Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia.ORCID https://orcid.org/0000-0002-4865-2177
Hadi SarieddeenDepartment of Computer, Electrical and Mathematical Sciences and EngineeringKing Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia.ORCID https://orcid.org/0000-0002-3050-4256
Tareq Y Al-NaffouriDepartment of Computer, Electrical and Mathematical Sciences and EngineeringKing Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia.ORCID https://orcid.org/0000-0001-6955-4720
Mohamed-Slim AlouiniDepartment of Computer, Electrical and Mathematical Sciences and EngineeringKing Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia.ORCID https://orcid.org/0000-0003-4827-1793

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following recent advancements in Terahertz (THz) technology, THz communications are currently being celebrated as key enablers for various applications in future generations of communication networks. While typical communication use cases are over medium-range air interfaces, the inherently small beamwidths and transceiver footprints at THz frequencies support nano-communication paradigms. In particular, the use of the THz band for in-body and on-body communications has been gaining attention recently. By exploiting the accurate THz sensing and imaging capabilities, body-centric THz biomedical applications can transcend the limitations of molecular, acoustic, and radio-frequency solutions. In this paper, we study the use of the THz band for body-centric networks, by surveying works on THz device technologies, channel and noise modeling, modulation schemes, and networking topologies. We also promote THz sensing and imaging applications in the healthcare sector, especially for detecting zootonic viruses such as Coronavirus. We present several open research problems for body-centric THz networks.

Indexed as

body-centric networkschannel modelingcodingCoronavirusimagingmodulationnetworkingsensingTHz communications

Identifiers

PMID36345554
PMCPMC9564038

What OpenQuestion holds

Textmetadata
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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.