Adaptive Sum of Markov Chains for Modelling 3D Blockage in mmWave V2I Communications

Fahd Alsaleem; John Thompson; David Laurenson

doi:10.1109/TVT.2020.3003245

Adaptive Sum of Markov Chains for Modelling 3D Blockage in mmWave V2I Communications

Fahd Alsaleem, John Thompson, David Laurenson

School of Engineering

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

Blockage attenuation is one of the main challenges that face reliable communication at the millimetre-wave (mmWave) band, especially for dynamic vehicle-to-infrastructure (V2I) communication systems. Modelling the dynamics of the blockage is important for evaluating high gain beamforming techniques, which are used to improve the signal strength in the mmWave communication systems. The novel sum of Markov chains (sum of MC) model is designed to do two main tasks successfully; capturing the dynamics of blockers affecting a
moving transceiver and computing the arising channel attenuation. The sum of MC model has advantages over existing Markov chains models, which are: that it can adapt to model non-stationary scenarios. The sum of MC model can integrate
any attenuation function, including the 3GPP blockage model and any lab measurement attenuation profile. Additionally, it is computationally efficient. The sum of MC model can match well with the performance results from a more complex geometric channel model.

Original language	English
Pages (from-to)	1-14
Journal	IEEE Transactions on Vehicular Technology
Early online date	17 Jun 2020
DOIs	https://doi.org/10.1109/TVT.2020.3003245
Publication status	E-pub ahead of print - 17 Jun 2020

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10.1109/TVT.2020.3003245

Fahd's 1st Journal - FINAL VERSIONAccepted author manuscript, 16.1 MB

Adaptive Sum of Markov Chains for Modelling 3D Blockage in mmWave V2I Communications
Alsaleem, F. (Creator) & Thompson, J. (Supervisor), Edinburgh DataShare, 10 Jun 2020
DOI: 10.7488/ds/2845
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title = "Adaptive Sum of Markov Chains for Modelling 3D Blockage in mmWave V2I Communications",

abstract = "Blockage attenuation is one of the main challenges that face reliable communication at the millimetre-wave (mmWave) band, especially for dynamic vehicle-to-infrastructure (V2I) communication systems. Modelling the dynamics of the blockage is important for evaluating high gain beamforming techniques, which are used to improve the signal strength in the mmWave communication systems. The novel sum of Markov chains (sum of MC) model is designed to do two main tasks successfully; capturing the dynamics of blockers affecting amoving transceiver and computing the arising channel attenuation. The sum of MC model has advantages over existing Markov chains models, which are: that it can adapt to model non-stationary scenarios. The sum of MC model can integrateany attenuation function, including the 3GPP blockage model and any lab measurement attenuation profile. Additionally, it is computationally efficient. The sum of MC model can match well with the performance results from a more complex geometric channel model.",

author = "Fahd Alsaleem and John Thompson and David Laurenson",

year = "2020",

month = jun,

day = "17",

doi = "10.1109/TVT.2020.3003245",

language = "English",

pages = "1--14",

journal = "IEEE Transactions on Vehicular Technology",

issn = "0018-9545",

publisher = "Institute of Electrical and Electronics Engineers",

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TY - JOUR

T1 - Adaptive Sum of Markov Chains for Modelling 3D Blockage in mmWave V2I Communications

AU - Alsaleem, Fahd

AU - Thompson, John

AU - Laurenson, David

PY - 2020/6/17

Y1 - 2020/6/17

N2 - Blockage attenuation is one of the main challenges that face reliable communication at the millimetre-wave (mmWave) band, especially for dynamic vehicle-to-infrastructure (V2I) communication systems. Modelling the dynamics of the blockage is important for evaluating high gain beamforming techniques, which are used to improve the signal strength in the mmWave communication systems. The novel sum of Markov chains (sum of MC) model is designed to do two main tasks successfully; capturing the dynamics of blockers affecting amoving transceiver and computing the arising channel attenuation. The sum of MC model has advantages over existing Markov chains models, which are: that it can adapt to model non-stationary scenarios. The sum of MC model can integrateany attenuation function, including the 3GPP blockage model and any lab measurement attenuation profile. Additionally, it is computationally efficient. The sum of MC model can match well with the performance results from a more complex geometric channel model.

AB - Blockage attenuation is one of the main challenges that face reliable communication at the millimetre-wave (mmWave) band, especially for dynamic vehicle-to-infrastructure (V2I) communication systems. Modelling the dynamics of the blockage is important for evaluating high gain beamforming techniques, which are used to improve the signal strength in the mmWave communication systems. The novel sum of Markov chains (sum of MC) model is designed to do two main tasks successfully; capturing the dynamics of blockers affecting amoving transceiver and computing the arising channel attenuation. The sum of MC model has advantages over existing Markov chains models, which are: that it can adapt to model non-stationary scenarios. The sum of MC model can integrateany attenuation function, including the 3GPP blockage model and any lab measurement attenuation profile. Additionally, it is computationally efficient. The sum of MC model can match well with the performance results from a more complex geometric channel model.

U2 - 10.1109/TVT.2020.3003245

DO - 10.1109/TVT.2020.3003245

M3 - Article

SN - 0018-9545

SP - 1

EP - 14

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

ER -

Adaptive Sum of Markov Chains for Modelling 3D Blockage in mmWave V2I Communications

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Adaptive Sum of Markov Chains for Modelling 3D Blockage in mmWave V2I Communications

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