Interference Distribution for Directional Beamforming Mobile Networks Article Swipe
Ayman T. Abusabah
,
Rodolfo Oliveira
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3217915
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3217915
In this paper, we model the aggregate interference power in directional beamforming mobile networks. The work considers the random waypoint model to describe the mobility of the nodes and adopts directional beamforming for communication. The major contribution of this paper is the statistical characterization of the aggregate interference caused by directional beamforming transmissions of mobile interferers to a given node positioned at a reference point. The analysis assumes Rayleigh and Rician small-scale fading channels, a distance-based path-loss large-scale fading model, and a three gain levels sectored antenna model. The quality of the proposed approximations has been confirmed through various simulations for different mobility scenarios, channel conditions, and beamforming parameters, highlighting the effect of directional communications along with mobility on aggregate interference. To demonstrate the practical application of the work, we use two different estimators for the interference characterization. The results confirm the effectiveness of the estimators even when adopting a small set of samples.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2022.3217915
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/09931683.pdf
- OA Status
- gold
- Cited By
- 6
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313129424
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4313129424Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2022.3217915Digital Object Identifier
- Title
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Interference Distribution for Directional Beamforming Mobile NetworksWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-01Full publication date if available
- Authors
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Ayman T. Abusabah, Rodolfo OliveiraList of authors in order
- Landing page
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https://doi.org/10.1109/access.2022.3217915Publisher landing page
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/09931683.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/09931683.pdfDirect OA link when available
- Concepts
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Beamforming, Computer science, Interference (communication), Telecommunications, Channel (broadcasting)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 1, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.practical | 124 |
| abstract_inverted_index.reference | 63 |
| abstract_inverted_index.estimators | 133, 145 |
| abstract_inverted_index.positioned | 60 |
| abstract_inverted_index.scenarios, | 103 |
| abstract_inverted_index.application | 125 |
| abstract_inverted_index.beamforming | 11, 31, 51, 107 |
| abstract_inverted_index.conditions, | 105 |
| abstract_inverted_index.demonstrate | 122 |
| abstract_inverted_index.directional | 10, 30, 50, 113 |
| abstract_inverted_index.interferers | 55 |
| abstract_inverted_index.large-scale | 77 |
| abstract_inverted_index.parameters, | 108 |
| abstract_inverted_index.simulations | 99 |
| abstract_inverted_index.small-scale | 71 |
| abstract_inverted_index.statistical | 42 |
| abstract_inverted_index.contribution | 36 |
| abstract_inverted_index.highlighting | 109 |
| abstract_inverted_index.interference | 7, 47, 136 |
| abstract_inverted_index.effectiveness | 142 |
| abstract_inverted_index.interference. | 120 |
| abstract_inverted_index.transmissions | 52 |
| abstract_inverted_index.approximations | 93 |
| abstract_inverted_index.communication. | 33 |
| abstract_inverted_index.communications | 114 |
| abstract_inverted_index.distance-based | 75 |
| abstract_inverted_index.characterization | 43 |
| abstract_inverted_index.characterization. | 137 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.67042198 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |