| 1. |
- Antonakoglou, Konstantinos, et al.
(författare)
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On the needs and requirements arising from connected and automated driving
- 2020
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Ingår i: Journal of Sensor and Actuator Networks. - : MDPI AG. - 2224-2708. ; 9:2
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Tidskriftsartikel (refereegranskat)abstract
- Future 5G systems have set a goal to support mission-critical Vehicle-to-Everything (V2X) communications and they contribute to an important step towards connected and automated driving. To achieve this goal, the communication technologies should be designed based on a solid understanding of the new V2X applications and the related requirements and challenges. In this regard, we provide a description of the main V2X application categories and their representative use cases selected based on an analysis of the future needs of cooperative and automated driving. We also present a methodology on how to derive the network related requirements from the automotive specific requirements. The methodology can be used to analyze the key requirements of both existing and future V2X use cases.
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| 2. |
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| 3. |
- Fallgren, Mikael, et al.
(författare)
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Fifth-Generation Technologies for the Connected Car Capable Systems for Vehicle-to-Anything Communications
- 2018
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Ingår i: IEEE Vehicular Technology Magazine. - 1556-6080 .- 1556-6072. ; 13:3, s. 28-38
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Tidskriftsartikel (refereegranskat)abstract
- Two strong technology trends, one in the mobile communications industry and the other in the automotive industry, are becoming interwoven and will jointly provide new capabilities and functionality for upcoming intelligent transport systems (ITSs) and future driving. The automotive industry is on a path where vehicles are continuously becoming more aware of their environment due to the addition of various types of integrated sensors. At the same time, the amount of automation in vehicles increases, which, with some intermediate steps, will eventually culminate in fully automated driving without human intervention. Along this path, the amount of interactions rises, both in-between vehicles and between vehicles and other road users, and with an increasingly intelligent road infrastructure. As a consequence, the significance and reliance on capable communication systems for vehicleto-anything (V2X) communication is becoming a key asset that will enhance the performance of automated driving and increase further road traffic safety with combination of sensor-based technologies [1].
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| 4. |
- Li, Zexian, et al.
(författare)
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5GCAR project D3.1 Intermediate 5G V2X Radio
- 2018
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The 5GCAR project aims to contribute to 5G network design, and specifically to design V2X technology components for V2X use case classes identified in the project. The requirements on reliability, latency, data rates, spectral and energy efficiency cannot be fully supported by today’s wireless networks and V2X solutions and call for novel and innovative approaches, including the design of a new radio interface.
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| 5. |
- Viriyasitavat, Wantanee, et al.
(författare)
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Vehicular communications : Survey and challenges of channel and propagation models
- 2015
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Ingår i: IEEE Vehicular Technology Magazine. - 1556-6072 .- 1556-6080. ; 10:2, s. 55-66
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Tidskriftsartikel (refereegranskat)abstract
- Vehicular communication is characterized by a dynamic environment, high mobility, and comparatively low antenna heights on the communicating entities (vehicles and roadside units). These characteristics make vehicular propagation and channel modeling particularly challenging. In this article, we classify and describe the most relevant vehicular propagation and channel models, with a particular focus on the usability of the models for the evaluation of protocols and applications. We first classify the models based on the propagation mechanisms they employ and their implementation approach. We also classify the models based on the channel properties they implement and pay special attention to the usability of the models, including the complexity of implementation, scalability, and the input requirements (e.g., geographical data input). We also discuss the less-explored aspects in vehicular channel modeling, including modeling specific environments (e.g., tunnels, overpasses, and parking lots) and types of communicating vehicles (e.g., scooters and public transportation vehicles). We conclude by identifying the underresearched aspects of vehicular propagation and channel modeling that require further modeling and measurement studies
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