Intelligent Transportation Systems' Orchestration: Lessons Learned &
Potential Opportunities
- URL: http://arxiv.org/abs/2205.14040v1
- Date: Thu, 5 May 2022 15:41:43 GMT
- Title: Intelligent Transportation Systems' Orchestration: Lessons Learned &
Potential Opportunities
- Authors: Abdallah Moubayed and Abdallah Shami and Abbas Ibrahim
- Abstract summary: 6G is being proposed as the set of technologies and architectures that will achieve this target.
Among the main use cases that have emerged for 5G networks and will continue to play a pivotal role in 6G networks is that of Intelligent Transportation Systems (ITSs)
One prominent challenge is ITS orchestration due to the various supporting technologies and heterogeneous networks used to offer the desired ITS applications/services.
- Score: 5.012225318994545
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The growing deployment efforts of 5G networks globally has led to the
acceleration of the businesses/services' digital transformation. This growth
has led to the need for new communication technologies that will promote this
transformation. 6G is being proposed as the set of technologies and
architectures that will achieve this target. Among the main use cases that have
emerged for 5G networks and will continue to play a pivotal role in 6G networks
is that of Intelligent Transportation Systems (ITSs). With all the projected
benefits of developing and deploying efficient and effective ITSs comes a group
of unique challenges that need to be addressed. One prominent challenge is ITS
orchestration due to the various supporting technologies and heterogeneous
networks used to offer the desired ITS applications/services. To that end, this
paper focuses on the ITS orchestration challenge in detail by highlighting the
related previous works from the literature and listing the lessons learned from
current ITS deployment orchestration efforts. It also presents multiple
potential data-driven research opportunities in which paradigms such as
reinforcement learning and federated learning can be deployed to offer
effective and efficient ITS orchestration.
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