Evidence map›Paper›PMID 36406713›Full record

ReviewHeliyon2022

Propagation path loss prediction modelling in enclosed environments for 5G networks: A review.

Tolulope T Oladimeji, Pradeep Kumar, Nicholas O Oyie

Open access · goldAbstract readReview
In one paragraph

Review in Heliyon, 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
3.4field-weighted citation impact, top 7% of its field
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, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 2 institutions in 2 countries.

Tolulope T OladimejiDiscipline of Electrical, Electronic and Computer Engineering, University of KwaZulu-Natal, Durban 4041, South Africa.
Pradeep KumarDiscipline of Electrical, Electronic and Computer Engineering, University of KwaZulu-Natal, Durban 4041, South Africa.
Nicholas O OyieSchool of Engineering and Technology, Murang'a University of Technology, Muranga, Kenya.
University of KwaZulu-Natal · ZAMurang'a University of Technology · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Millimeter wave path loss modeling is essential for reliable system design and accurate link budget calculations. The motivation for this research is that channel modeling in 5G millimeter wave propagation in an indoor environment is a current research topic in which capacity differences have been noticed as a result of different models being utilized. Existing models for future millimeter wave propagation must be tested and improved in order to aid link design. The improvements in the path loss models will allow engineers and researchers to budget for 5G wireless networks with better quality in an indoor environment. In this paper, we discuss the survey of indoor environment undertaking for both line of sight (LOS) and non-line of sight (NLOS) scenarios as well as the comparison of path loss performance analysis of the three commonly used models: Close-In (CI) free space reference model, Floating Intercept (FI), and Alpha-Beta-Gamma (ABG) models at some selected frequencies. The review looked at how to determine efficient path loss models which is a major challenge in millimeter wave propagation. The paper also focuses on the measurement work done in millimeter wave research in interior environments. The analysis of path loss and shadow fading in different frequency bands are presented. The researchers whose publications were examined for this study used a range of methodologies to forecast path loss models and propagation parameters of millimeter wave communication channel. This will help design engineers and researchers calculate budgets for a suitable 5G and even forecasted 6G wireless network in an inside environment. Another purpose of this paper is to get a thorough understanding of the best route loss model, especially for interior situations, and to improve it in future research to provide a better line of fit and simplicity among the three fundamental path loss models: CI, ABG, and FI. In both LOS and NLOS scenarios, the study found that the CI free space reference model and the FI path loss models are the best path loss models for indoor millimeter wave propagation. Future research will focus on how to improve the appropriate model for path loss model estimate in both LOS and NLOS situations in an indoor environment with the best line of fit and the easiest implementation.

Indexed as

Indoor modelLine of sightMillimeter wave frequencyNon-line of sightPath loss exponentPropagation

Identifiers

PMID36406713
PMCPMC9672330
OpenAlexW4309047424

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.