Temporal Correlation of Interference in Vehicular Networks with Shifted-Exponential Time Headways

Kostas Koufos; Carl Dettmann

doi:10.1109/LWC.2018.2865926

Temporal Correlation of Interference in Vehicular Networks with Shifted-Exponential Time Headways

Kostas Koufos, Carl Dettmann

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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Abstract

We consider a one-dimensional vehicular network where the time headway (time difference between successive vehicles as they pass a point on the roadway) follows the shifted-exponential distribution. We show that neglecting the impact of shift in the deployment model, which degenerates the distribution of vehicles to a Poisson Point Process, overestimates the temporal correlation of interference at the origin. The estimation error becomes large at high traffic conditions and small time-lags.

Original language	English
Pages (from-to)	189-192
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	8
Early online date	17 Aug 2018
DOIs	https://doi.org/10.1109/LWC.2018.2865926
Publication status	Published - Feb 2019

Keywords

Headway models
interference correlation
stochastic geometry
vehicular networks.

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10.1109/LWC.2018.2865926

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title = "Temporal Correlation of Interference in Vehicular Networks with Shifted-Exponential Time Headways",

abstract = "We consider a one-dimensional vehicular network where the time headway (time difference between successive vehicles as they pass a point on the roadway) follows the shifted-exponential distribution. We show that neglecting the impact of shift in the deployment model, which degenerates the distribution of vehicles to a Poisson Point Process, overestimates the temporal correlation of interference at the origin. The estimation error becomes large at high traffic conditions and small time-lags.",

keywords = "Headway models, interference correlation, stochastic geometry, vehicular networks.",

author = "Kostas Koufos and Carl Dettmann",

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N2 - We consider a one-dimensional vehicular network where the time headway (time difference between successive vehicles as they pass a point on the roadway) follows the shifted-exponential distribution. We show that neglecting the impact of shift in the deployment model, which degenerates the distribution of vehicles to a Poisson Point Process, overestimates the temporal correlation of interference at the origin. The estimation error becomes large at high traffic conditions and small time-lags.

AB - We consider a one-dimensional vehicular network where the time headway (time difference between successive vehicles as they pass a point on the roadway) follows the shifted-exponential distribution. We show that neglecting the impact of shift in the deployment model, which degenerates the distribution of vehicles to a Poisson Point Process, overestimates the temporal correlation of interference at the origin. The estimation error becomes large at high traffic conditions and small time-lags.

KW - Headway models

KW - interference correlation

KW - stochastic geometry

KW - vehicular networks.

UR - https://www.scopus.com/pages/publications/85051805538

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DO - 10.1109/LWC.2018.2865926

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EP - 192

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

ER -

Temporal Correlation of Interference in Vehicular Networks with Shifted-Exponential Time Headways

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Keywords

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Spatially embedded networks

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Temporal Correlation of Interference in Vehicular Networks with Shifted-Exponential Time Headways

Abstract

Keywords

Access to Document

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Spatially embedded networks

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