Stochastic Modeling of Beam Management in mmWave Vehicular Networks

Aghashahi, Somayeh; Aghashahi, Samaneh; Zeinalpour-Yazdi, Zolfa; Tadaion, Aliakbar; Asadi, Arash

doi:10.1109/tmc.2021.3138449

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…To address this issue, the authors in [18] develop a stochastic geometry framework and conduct a detailed performance analysis in terms of the average achievable rate and success probability. Going beyond the coverage probability and the achievable rate, in [19], the authors studied the average number of beam switching and handover events, in mmWave vehicular networks. Beam management techniques were also considered.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

Comprehensive Analysis of Maximum Power Association Policy for Cellular Networks Using Distance and Angular Coordinates

Armeniakos,

Kanatas,

Dhillon

2024

IEEE Trans. Wireless Commun.

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Section: A Related Work and Motivationmentioning

confidence: 99%

Comprehensive Analysis of Maximum Power Association Policy for Cellular Networks Using Distance and Angular Coordinates

Armeniakos,

Kanatas,

Dhillon

2024

IEEE Trans. Wireless Commun.

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“…To address this issue, the authors in [17] develop a stochastic geometry framework and conduct a detailed performance analysis in terms of the average achievable rate and success probability. Going beyond the coverage probability and the achievable rate, in [18], the authors studied the average number of beam switching and handover events, in mmWave vehicular networks. Several beam management techniques were also considered.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

Angular Distance-Based Performance Analysis of mmWave Cellular Networks

Armeniakos

Kanatas

2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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A novel stochastic geometry framework is proposed in this paper to study the downlink coverage performance in a millimeter wave (mmWave) cellular network by jointly considering the polar coordinates of the Base Stations (BSs) with respect to the typical user located at the origin. Specifically, both the Euclidean and the angular distances of the BSs in a maximum power-based association policy for the UE are considered to account for realistic beam management considerations, which have been largely ignored in the literature, especially in the cell association phase. For completeness, two other association schemes are considered and exact-form expressions for the coverage probability are derived. Subsequently, the key role of angular distances is highlighted by defining the dominant interferer using angular distancebased criteria instead of Euclidean distance-based, and conducting a dominant interferer-based coverage probability analysis. Among others, the numerical results revealed that considering angular distancebased criteria for determining both the serving and the dominant interfering BS, can approximate the coverage performance more accurately as compared to utilizing Euclidean distance-based criteria. To the best of the authors' knowledge, this is the first work that rigorously explores the role of angular distances in the association policy and analysis of cellular networks.

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