Towards 6G-enabled Sustainable and Smart Mobility - A Vision and Roadmap

Tiia Ojanpera, Sandrine Boumard, Mika Lasanen, Stephan Mehnert, Antti Anttonen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

ICT and digitalization play a key role in the transition needed to fulfil the United Nations' sustainable development goals. In the case of the mobility and transport sector, sustainability challenges include not only reducing greenhouse gas emissions but also improving safety, accessibility, and resiliency of the transport systems. In this paper, we study how ICT, especially, the next generation 6G mobile communication technology can enable sustainable and smart mobility in the future. Our study focuses on three selected areas of mobility and transport, namely cars, ships, and drones. Unlike the existing works, we bundle up these three domains more comprehensively with that of 6G technologies and sustainability perspectives. We also provide a visionary roadmap on the most prominent technologies for 6G research to serve the future communication technology needs of sustainable and smart mobility.

Original languageEnglish
Title of host publication2022 20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks, WiOpt 2022
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages391-398
Number of pages8
ISBN (Electronic)978-3-903176-49-2
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
Event20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks, WiOpt 2022 - Torino, Italy
Duration: 19 Sept 202223 Sept 2022

Conference

Conference20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks, WiOpt 2022
Country/TerritoryItaly
CityTorino
Period19/09/2223/09/22

Keywords

  • 6G.
  • Autonomous vehicles
  • maritime autonomous surface ships
  • sustainability
  • technology forecasting
  • unmanned aerial vehicles

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