Evidence map›Paper›PMID 37112130›Full record

ArticleSensors (Basel, Switzerland)2023

Beyond 5G Fronthaul Based on FSO Using Spread Spectrum Codes and Graphene Modulators.

Daniel Neves, Anderson Sanches, Rafael Nobrega, Hichem Mrabet, Iyad Dayoub, Kohei Ohno, Shyqyri Haxha, Ivan Glesk, Antonio Jurado-Navas, Thiago Raddo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Daniel NevesElectrical Engineering Department, Federal University of Ceara, Fortaleza 60020-181, Brazil.
Anderson SanchesEngineering, Modeling & Applied Social Sciences Center, Federal University of ABC, Santo Andre 09210-580, Brazil.
Rafael NobregaEngineering, Modeling & Applied Social Sciences Center, Federal University of ABC, Santo Andre 09210-580, Brazil.
Hichem MrabetSERCOM Laboratory, Tunisia Polytechnic School, Carthage University, Carthage 1054, Tunisia.
Iyad DayoubUniversite Polytechnique Hauts-de-France, Universite Lille, and INSA Hauts-de-France, 59313 Valenciennes, France.
Kohei OhnoSchool of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo 101-8301, Japan.
Shyqyri HaxhaDepartment of Electronic Engineering, Royal Holloway, University of London, London WC1B 5DN, UK.ORCID 0000-0002-9641-5520
Ivan GleskFaculty of Engineering, University of Strathclyde, Glasgow G1 1XJ, UK.ORCID 0000-0002-3176-8069
Antonio Jurado-NavasCommunications and Signal Processing Laboratory, Telecommunication Research Institute, University of Malaga, 29010 Malaga, Spain.ORCID 0000-0002-4381-5109
Thiago RaddoEngineering, Modeling & Applied Social Sciences Center, Federal University of ABC, Santo Andre 09210-580, Brazil.

Funding

CAPESConselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior. (CNPq)
6 · The paper itself

Abstract

High data rate coverage, security, and energy efficiency will play a key role in the continued performance scaling of next-generation mobile systems. Dense, small mobile cells based on a novel network architecture are part of the answer. Motivated by the recent mounting interest in free-space optical (FSO) technologies, this paper addresses a novel mobile fronthaul network architecture based on FSO, spread spectrum codes, and graphene modulators for the creation of dense small cells. The network uses an energy-efficient graphene modulator to send data bits to be coded with spread codes for achieving higher security before their transmission to remote units via high-speed FSO transmitters. Analytical results show the new fronthaul mobile network can accommodate up to 32 remote antennas under error-free transmissions with forward error correction. Furthermore, the modulator is optimized to provide maximum efficiency in terms of energy consumption per bit. The optimization procedure is carried out by optimizing both the amount of graphene used on the ring resonator and the modulator's design. The optimized graphene modulator is used in the new fronthaul network and requires as low as 4.6 fJ/bit while enabling high-speed performance up to 42.6 GHz and remarkably using one-quarter of graphene only.

Indexed as

5G6GenergyfronthaulFSOgraphenemobilemodulatoropticssecurity

Identifiers

PMID37112130
PMCPMC10145641

What OpenQuestion holds

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LicenceCC BY
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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.