5G Network Solutions for Automotive Services

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (30 November 2018) | Viewed by 4823

Special Issue Editors


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Guest Editor
Luxembourg Institute of Science and Technology (LIST) IT for Innovative Services (ITIS) Department 5, avenue des Hauts-Fourneaux | L-4362 Esch-sur-Alzette, Luxembourg
Interests: intelligent transportation; sensing and distributed systems

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Guest Editor
CNR-IEIIT Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Interests: user mobility characterization; mobile traffic data mining and analysis; privacy in mobile traffic datasets
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Federal University of Viçosa, Brazil
Interests: distributed systems; ubiquitous and mobile computing

Special Issue Information

Dear Colleagues,

When compared to current cellular systems, fifth-generation (5G) mobile networks are expected to support a more broadened range of services. Among those, automotive applications play a major role: The technological transformation vehicles are undergoing paves the road for new compelling communication-driven use cases. As a matter of fact, cars are turning into mobile communication hubs that embed a growing variety of radio network interfaces, which enable services for improved road safety, more effective traffic management, or smart real-time navigation and infotainment. In addition, automated driving offers new opportunities for integration of the telecom and automotive industries: self-driving vehicles will progressively complement onboard sensing with cooperation capability, which will entail stringent requirements on the performance of the network.

Overall, emerging automotive services are expected to dramatically increase the mobile traffic demand generated by moving vehicles, in terms of both capacity and quality of service. And they shall achieve this while addressing the inherent exacting issues of the automotive environment, including support for fast mobility, robustness to intermittent connectivity, adaptability to very heterogeneous user densities, and general scalability. In the light of these considerations, it is not surprising that the automotive sector has been identified as a critical environment where 5G will be challenged [1]. It is therefore of paramount importance that suitable networking solutions are conceived and deployed to address the needs of high-speed vehicular users [2].

This Special Issue invites original research papers on new algorithms, protocols, architectures and solutions for future-generation mobile networks that are specifically designed to support automotive services. Relevant topics include, but are not limited to:

  • 5G MIMO solutions for automotive services
  • 5G Radio resource allocation for automotive services
  • 5G Scheduling for automotive services
  • 5G coverage and antenna positioning in automotive environments
  • 5G infrastructure planning and deployment for automotive services
  • Network slicing for automotive verticals
  • Co-existence and integration of 5G with other access technologies in automotive environments
  • 5G network security mechanisms for automotive environments
  • Device-to-device (D2D) communication for automotive services
  • Vehicle-to-vehicle (V2V), vehicle-to-pedestrian (V2P), and vehicle-to-infrastructure (V2I)
  • Communication between vehicles and vulnerable users (bikes)
  • Integration of network-assisted and non-network assisted V2V channel access mechanisms
  • 5G context awareness in automotive environments
  • Automotive service discovery functions
  • Requirements of 5G for next-generation automotive services
  • Ultra-reliable and low-latency V2X communication for automotive services
  • 5G solutions targeting automated and autonomous driving
  • Performance evaluation of 5G networks for automotive services
  • Simulation of 5G networks for automotive services
  • Platforms and experiments of 5G networks for automotive services
  • Cost-benefit tradeoff evaluation of 5G solutions in automotive environments

References

[1] 5G Automotive Association (Ertico/5GPPP), "5G Automotive Vision", October 2015

[2] 3GPP TR 22.886, "Study of Enhancement of 3GPP Support for 5G V2X Services", v15.1.0, March 2017

Dr. Sébastien Faye
Dr. Marco Fiore
Prof. Dr. Fabrício A. Silva
Guest Editors

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Published Papers (1 paper)

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19 pages, 1479 KiB  
Article
Broadening Understanding on Managing the Communication Infrastructure in Vehicular Networks: Customizing the Coverage Using the Delta Network
by Cristiano M. Silva, Lucas D. Silva, Leonardo A. L. Santos, João F. M. Sarubbi and Andreas Pitsillides
Future Internet 2019, 11(1), 1; https://doi.org/10.3390/fi11010001 - 20 Dec 2018
Cited by 25 | Viewed by 4311
Abstract
Over the past few decades, the growth of the urban population has been remarkable. Nowadays, 50% of the population lives in urban areas, and forecasts point that by 2050 this number will reach 70%. Today, 64% of all travel made is within urban [...] Read more.
Over the past few decades, the growth of the urban population has been remarkable. Nowadays, 50% of the population lives in urban areas, and forecasts point that by 2050 this number will reach 70%. Today, 64% of all travel made is within urban environments and the total amount of urban kilometers traveled is expected to triple by 2050. Thus, seeking novel solutions for urban mobility becomes paramount for 21st century society. In this work, we discuss the performance of vehicular networks. We consider the metric Delta Network. The Delta Network characterizes the connectivity of the vehicular network through the percentage of travel time in which vehicles are connected to roadside units. This article reviews the concept of the Delta Network and extends its study through the presentation of a general heuristic based on the definition of scores to identify the areas of the road network that should receive coverage. After defining the general heuristic, we show how small changes in the score computation can generate very distinct (and interesting) patterns of coverage, each one suited to a given scenario. In order to exemplify such behavior, we propose three deployment strategies based on simply changing the computation of scores. We compare the proposed strategies to the intuitive strategy of allocating communication units at the most popular zones of the road network. Experiments show that the strategies derived from the general heuristic provide higher coverage than the intuitive strategy when using the same number of communication devices. Moreover, the resulting pattern of coverage is very interesting, with roadside units deployed a circle pattern around the traffic epicenter. Full article
(This article belongs to the Special Issue 5G Network Solutions for Automotive Services)
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