Evidence map›Paper›PMID 37050564›Full record

ArticleSensors (Basel, Switzerland)2023

Research on the Total Channel Capacities Pertaining to Two Coverage Layouts for Three-Dimensional, UAV-Assisted Ad Hoc Networks.

Xiao Yan, Shenglong Zhu, Qian Wang, Hsiao-Chun Wu

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Xiao YanSchool of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0003-4108-9665
Shenglong ZhuSchool of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0001-8577-9647
Qian WangSchool of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0001-9556-421X
Hsiao-Chun WuSchool of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA 70803, USA.

Funding

Louisiana Board of Regents Research Competitiveness Subprogram LEQSF(2021-22)-RD-A-34Natural Science Foundation of Sichuan Province 2022NSFSC0545
6 · The paper itself

Abstract

Unmanned aerial vehicles (UAVs) employed as airborne base stations (BSs) are considered the essential components in future sixth-generation wireless networks due to their mobility and line-of-sight communication links. For a UAV-assisted ad hoc network, its total channel capacity is greatly influenced by the deployment of UAV-BSs and the corresponding coverage layouts, where square and hexagonal cells are partitioned to divide the zones individual UAVs should serve. In this paper, the total channel capacities of these two kinds of coverage layouts are evaluated using our proposed novel computationally efficient channel capacity estimation scheme. The mean distance (MD) between a UAV-BS in the network and its served users as well as the MD from these users to the neighboring UAV-BSs are incorporated into the estimation of the achievable total channel capacity. We can significantly reduce the computational complexity by using a new polygon division strategy. The simulation results demonstrate that the square cell coverage layout can always lead to a superior channel capacity (with an average increase of 7.67% to be precise) to the hexagonal cell coverage layout for UAV-assisted ad hoc networks.

Indexed as

6G wireless communicationshexagonal cell coverage layoutsquare cell coverage layoutstochastic geometrytotal channel capacityUAV-assisted wireless networks

Identifiers

PMID37050564
PMCPMC10099046

What OpenQuestion holds

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Registered trials

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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.