Evidence map›Paper›PMID 39640738›Full record

ArticleHeliyon2024

Isolation enhancement of a capacitively-fed MIMO antenna using a quasi-fractal parasitic element and defected ground structure.

Syed Naheel Raza Rizvi, Md Abu Sufian, Niamat Hussain, Yangbae Chun, Seong-Gyoon Park, Sunggoo Kim, Nam Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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

7 authors.

Syed Naheel Raza RizviDepartment of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, South Korea.
Md Abu SufianDepartment of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, South Korea.
Niamat HussainDepartment of Intelligent Mechatronics Engineering, Sejong University, Seoul, 05006, South Korea.
Yangbae ChunDepartment of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, South Korea.
Seong-Gyoon ParkDepartment of Information and Communication Engineering, Kongju National University, Gongju, 314701, South Korea.
Sunggoo KimDepartment of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, South Korea.
Nam KimDepartment of Information and Communication Engineering, Chungbuk National University, Cheongju, 28644, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vehicular Internet of Things (IoT) is facilitated by efficient RF front ends with suppressed mutual coupling for enhanced spatial diversity and increased channel capacity. This paper presents a mutual coupling suppressed MIMO antenna with a hybrid decoupling technique for Vehicle-to-Everything (V2X) communications, enabling IoT in automotive systems. The single elements consist of a radiating patch with a cleaving circular slot to introduce a capacitive effect on the radiating structure. Afterwards, the single-unit design is further extrapolated to a 2 × 2 MIMO antenna. The mutual coupling is suppressed between antenna elements by introducing a quasi-fractal parasitic element and a defected ground structure (DGS). The MIMO antenna is designed to conform to the requirements posed by V2X systems in Dedicated Short-Range Communications (DSRC) and Intelligent transportation system (ITS) scenarios. The proposed MIMO antenna offers measured |S

Indexed as

DSRCInternet of things (IoT) antennaITSMIMO antennaVehicle-to-everything (V2X) communicationsVehicular internet of things

Identifiers

PMID39640738
PMCPMC11620206

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.