Evidence map›Paper›PMID 34833823›Full record

ArticleSensors (Basel, Switzerland)2021

Results of Large-Scale Propagation Models in Campus Corridor at 3.7 and 28 GHz.

Md Abdus Samad, Feyisa Debo Diba, Young-Jin Kim, Dong-You Choi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Evaluation of Radio Communication Links of 4G Systems.Sensors (Basel, Switzerland) · 2022
    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

4 authors.

Md Abdus SamadDepartment of Information and Communication Engineering, Chosun University, Gwangju 61452, Korea.ORCID 0000-0002-1990-6924
Feyisa Debo DibaDepartment of Information and Communication Engineering, Chosun University, Gwangju 61452, Korea.ORCID 0000-0002-0991-1594
Young-Jin KimDepartment of e-Sports, Chosun College of Science & Technology, Gwangju 61453, Korea.
Dong-You ChoiDepartment of Information and Communication Engineering, Chosun University, Gwangju 61452, Korea.ORCID 0000-0003-0664-7908

Funding

National Research Foundation of Korea 2019R1F1A1058128National Research Foundation of Korea 4299990114316
6 · The paper itself

Abstract

The indoor application of wave propagation in the 5G network is essential to fulfill the increasing demands of network access in an indoor environment. This study investigated the wave propagation properties of line-of-sight (LOS) links at two long corridors of Chosun University (CU). We chose wave propagation measurements at 3.7 and 28 GHz, since 3.7 GHz is the closest to the roll-out frequency band of 3.5 GHz in South Korea and 28 GHz is next allocated frequency band for Korean telcos. In addition, 28 GHz is the promising millimeter band adopted by the Federal Communications Commission (FCC) for the 5G network. Thus, the 5G network can use 3.7 and 28 GHz frequencies to achieve the spectrum required for its roll-out frequency band. The results observed were applied to simulate the path loss of the LOS links at extended indoor corridor environments. The minimum mean square error (MMSE) approach was used to evaluate the distance and frequency-dependent optimized coefficients of the close-in (CI) model with a frequency-weighted path loss exponent (CIF), floating-intercept (FI), and alpha-beta-gamma (ABG) models. The outcome shows that the large-scale FI and CI models fitted the measured results at 3.7 and 28 GHz.

Indexed as

ABG modelCIF modelCI modelFI modelindoor corridorlong corridorwave propagation

Identifiers

PMID34833823
PMCPMC8619931

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.