Defining the Future of our Wireless World with 5G & Autonomous Vehicles

Document Type

Program

Publication Date

5-8-2017

Keywords

ITS, V2X, V2V, C-V2X, DSRC, VANET, 802.11p, 5G, LOS, WLOS, NLOS, CAV, URLLC, H2020, intelligent transportation system, connected vehicles, vehicle-to-everything, vehicle-to-vehicle, dedicated short-range communication, vehicular ad hoc network, path loss, propagation model, channel model, connected vehicle, autonomous vehicle, connected and autonomous vehicle, outage probability, reliability, ultra-reliable low-latency communication, stochastic geometry, meta distribution, road safety, traffic efficiency, urban intersection, suburban intersection, smart intersection, intelligent intersection, smart city, research funding, grant proposals, government funding, European Commission, EU, MSCA, Marie-Curie, Marie Skłodowska Curie Action

Abstract

Abstract of the Advertised Event delivered at the International Science Festival in Gothenburg, Göteborg, Sweden: Researchers at Chalmers are trying to solve some of the big challenges of faster, more reliable and high capacity mobile networks for the next generation - 5G. Will 5G bring new dimensions to wireless? What other smart wireless applications can we expect in the future? Meet researchers in Communication Systems and Signal Processing at Chalmers. They will tell you more and offer a hands-on activity within the area of wireless technology.

Outreach Efforts: In addition to scientific publication, we disseminated our research and its social implications with the general public. In fact, we were invited by the organizing committee of Europe's leading popular science event (with 70,000 visitors), "The International Science Festival in Gothenburg" to co-organize and participate in various science and technology-based activities and exercises, panel discussions, and outreach talks. As such, we brought R&D engineers from academia and industry working on next-generation 5G telecommunication systems, which will facilitate innovative technologies such as self-driving vehicles.

Faculty

Faculty of Applied Science and Technology (FAST)

First Page

23

Last Page

23

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Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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