Aghashahi, Somayeh ; Aghashahi, Samaneh ; Zeinalpour-Yazdi, Zolfa ; Tadaion, Aliakbar ; Asadi, Arash (2023)
Stochastic Modeling of Beam Management in mmWave Vehicular Networks.
In: IEEE Transactions on Mobile Computing, 22 (6)
doi: 10.1109/tmc.2021.3138449
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Mobility management is a major challenge for millimeter-wave (mmWave) cellular networks. In particular, directional beamforming in mmWave devices renders high-speed mobility support very complex. This complexity, however, is not limited to system design but also the performance estimation and evaluation. Hence, some have turned their attention to stochastic modeling of mmWave vehicular communication to derive closed-form expressions that can characterize the coverage and rate behavior of the network. In this article, we model and analyze the beam management for mmWave vehicular networks. To the best of our knowledge, this is the first work that goes beyond coverage and rate analysis. Specifically, we focus on a multi-lane divided highway scenario in which base stations and vehicles are present on both sides of the highway. In addition to providing analytical expressions for the average number of beam switching and handover events, we provide design insights for the operators to fine-tune their network through more informed choice of system parameters, including the number of resources dedicated to channel feedback and beam alignment operations.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Aghashahi, Somayeh ; Aghashahi, Samaneh ; Zeinalpour-Yazdi, Zolfa ; Tadaion, Aliakbar ; Asadi, Arash |
| Art des Eintrags: | Bibliographie |
| Titel: | Stochastic Modeling of Beam Management in mmWave Vehicular Networks |
| Sprache: | Deutsch |
| Publikationsjahr: | 1 Juni 2023 |
| Verlag: | IEEE |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | IEEE Transactions on Mobile Computing |
| Jahrgang/Volume einer Zeitschrift: | 22 |
| (Heft-)Nummer: | 6 |
| DOI: | 10.1109/tmc.2021.3138449 |
| Kurzbeschreibung (Abstract): | Mobility management is a major challenge for millimeter-wave (mmWave) cellular networks. In particular, directional beamforming in mmWave devices renders high-speed mobility support very complex. This complexity, however, is not limited to system design but also the performance estimation and evaluation. Hence, some have turned their attention to stochastic modeling of mmWave vehicular communication to derive closed-form expressions that can characterize the coverage and rate behavior of the network. In this article, we model and analyze the beam management for mmWave vehicular networks. To the best of our knowledge, this is the first work that goes beyond coverage and rate analysis. Specifically, we focus on a multi-lane divided highway scenario in which base stations and vehicles are present on both sides of the highway. In addition to providing analytical expressions for the average number of beam switching and handover events, we provide design insights for the operators to fine-tune their network through more informed choice of system parameters, including the number of resources dedicated to channel feedback and beam alignment operations. |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Sichere Mobile Netze 20 Fachbereich Informatik > Wireless Communication and Sensing Lab (WISE) |
| Hinterlegungsdatum: | 25 Jul 2023 07:23 |
| Letzte Änderung: | 25 Jul 2023 07:23 |
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