The Transdimensional Poisson Process for Vehicular Network Analysis Article Swipe
Jeya Pradha Jeyaraj
,
Martin Haenggi
,
Ahmed Hamdi Sakr
,
Hongsheng Lu
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/twc.2021.3089553
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/twc.2021.3089553
A comprehensive vehicular network analysis requires modeling the street\nsystem and vehicle locations. Even when Poisson point processes (PPPs) are used\nto model the vehicle locations on each street, the analysis is barely\ntractable. That holds for even a simple average-based performance metric -- the\nsuccess probability, which is a special case of the fine-grained metric, the\nmeta distribution (MD) of the signal-to-interference ratio (SIR). To address\nthis issue, we propose the transdimensional approach as an alternative. Here,\nthe union of 1D PPPs on the streets is simplified to the transdimensional PPP\n(TPPP), a superposition of 1D and 2D PPPs. The TPPP includes the 1D PPPs on the\nstreets passing through the receiving vehicle and models the remaining vehicles\nas a 2D PPP ignoring their street geometry. Through the SIR MD analysis, we\nshow that the TPPP provides good approximations to the more cumbrous models\nwith streets characterized by Poisson line/stick processes; and we prove that\nthe accuracy of the TPPP further improves under shadowing. Lastly, we use the\nMD results to control network congestion by adjusting the transmit rate while\nmaintaining a target fraction of reliable links. A key insight is that the\nsuccess probability is an inadequate measure of congestion as it does not\ncapture the reliabilities of the individual links.\n
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/twc.2021.3089553
- OA Status
- green
- Cited By
- 13
- References
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- OpenAlex ID
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All OpenAlex metadata
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- DOI
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https://doi.org/10.1109/twc.2021.3089553Digital Object Identifier
- Title
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The Transdimensional Poisson Process for Vehicular Network AnalysisWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-06-22Full publication date if available
- Authors
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Jeya Pradha Jeyaraj, Martin Haenggi, Ahmed Hamdi Sakr, Hongsheng LuList of authors in order
- Landing page
-
https://doi.org/10.1109/twc.2021.3089553Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2111.13846Direct OA link when available
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Metric (unit), Computer science, Coverage probability, Poisson distribution, Nakagami distribution, Interference (communication), Line (geometry), Mathematics, Statistics, Computer network, Engineering, Fading, Confidence interval, Operations management, Channel (broadcasting), GeometryTop concepts (fields/topics) attached by OpenAlex
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13Total citation count in OpenAlex
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2025: 3, 2024: 5, 2023: 3, 2022: 2Per-year citation counts (last 5 years)
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29Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2342826612, https://openalex.org/W2963012103, https://openalex.org/W2900826525, https://openalex.org/W1640283668, https://openalex.org/W3144541049, https://openalex.org/W3149073735, https://openalex.org/W6660445384, https://openalex.org/W2963692345, https://openalex.org/W2978031026, https://openalex.org/W2963396489, https://openalex.org/W2962721371, https://openalex.org/W2963041424, https://openalex.org/W6604968327, https://openalex.org/W3037476929, https://openalex.org/W2118166339, https://openalex.org/W3088635315, https://openalex.org/W2054402644, https://openalex.org/W631335369, https://openalex.org/W3088631253, https://openalex.org/W3010387571, https://openalex.org/W2995603513, https://openalex.org/W2735724309, https://openalex.org/W2893955145, https://openalex.org/W2964168570, https://openalex.org/W2972997844, https://openalex.org/W2570805543, https://openalex.org/W2946053252, https://openalex.org/W2041078943, https://openalex.org/W120871837 |
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