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MDPI Future Internet
Special Issue on 5G network solutions for automotive services

+ Scope

When compared to current cellular systems, fifth-generation (5G) mobile
networks are expected to support a much 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 cars 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
the inherent exacting issues of the automotive environment, including
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. It is
therefore of paramount importance that suitable networking solutions are
conceived and deployed to address the needs of high-speed vehicular users.

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

+ Submission and deadline

The Special Issue runs on a continued submission model. Authors may submit
their papers at any time. Submitted manuscripts will undergo a fast review
process, upon which authors will be notified of: (i) rejection, without
possibility that the paper is further considered for the Special Issue;
(ii) revision, entailing (multiple) iterations on revisions of the paper;
(iii) acceptance to the Special Issue. Accepted paper are readily published

There is a hard deadline to continued submissions for this Special Issue,
on November 30, 2018. Clearly, iterations on revisions of manuscript
submitted before November 30, 2018 may continue after that date.

Detailed instructions for paper submission are available at:

+ Guest editors

Sebastien Faye, Luxembourg Institute of Science and Technology
Marco Fiore, CNR-IEIIT
Fabri­cio A. Silva, Federal University of Viçosa

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