Multi-Radio 5G Architecture for Connected and Autonomous Vehicles: Application and Design Insights
Journal Title: EAI Endorsed Transactions on Industrial Networks and Intelligent Systems - Year 2017, Vol 4, Issue 13
Abstract
Connected and Autonomous Vehicles (CAVs) will play a crucial role in next-generation Cooperative Intelligent Transportation Systems (C-ITSs). Not only is the information exchange fundamental to improve road safety and efficiency, but it also paves the way to a wide spectrum of advanced ITS applications enhancing efficiency, mobility and accessibility. Highly dynamic network topologies and unpredictable wireless channel conditions entail numerous design challenges and open questions. In this paper, we address the beneficial interactions between CAVs and an ITS and propose a novel architecture design paradigm. Our solution can accommodate multi-layer applications over multiple Radio Access Technologies (RATs) and provide a smart configuration interface for enhancing the performance of each RAT.
Authors and Affiliations
Ioannis Mavromatis, Andrea Tassi, Giovanni Rigazzi, Robert J. Piechocki, Andrew Nix
How to Make Business Processes “Socialize”?
This paper presents an approach that builds upon social computing principles to make business processes “socialize”. First the approach identifies the main components of a business process that are task, person, and mach...
VIRTUAL TABLE-SIMULATOR FOR MONITORING DISTRIBUTED OBJECTS
There is presented a determination to the concept of "a distributed subobject for monitoring". There are revealed the common features of such objects. There are analyzed the virtual and hardware cloud computing technolog...
Light-weight Key Management Scheme for Active RFID Applications
Due to low-cost and its practical solution, the integration of RFID tag to the sensor node called smart RFID has become prominent solution in various fields including industrial applications. Nevertheless, the constraine...
Controlling Sensitivity of Gaussian Bayes Predictions based on Eigenvalue Thresholding
Gaussian Bayes classifiers are widely used in machine learning for various purposes. Its special characteristic has provided a great capacity for estimating the likelihood and reliability of individual classification dec...
Cloud Based Mobile Network Sharing: A New Model
The tradition network sharing models on existing mobile architecture is a challenging for the mobile operator to cope the future competitive market while increasing average revenue per user. In fact, to sustain the futur...