Techno-Economic Analysis of MEC Clustering Models for Seamless CCAM Service Provision

Abstract

The latency requirements of delay-sensitive applications such as Cooperative, Connected and Automated Mobility (CCAM) services challenge the capabilities of traditional vehicular radio access technologies, i.e., IEEE 802.11p and cellular networks. To this end, the fifth-generation (5G) cellular network is adopting the Multi-access Edge Computing (MEC) paradigm. Yet, the use of this technology comes with several challenges. In this paper, MEC placement challenges and their impact on network deployment costs are studied. We propose three MEC clustering models and compare them from a cost perspective. Results show that all the MEC clustering models outperform the non-clustering approach. In addition, the conditions in which specific clustering models yield the most optimal results are analyzed. Results aim at providing insights into cost-effective MEC deployment models.

Digital Infrastructure Quality Assessment System Methodology for Connected and Automated Vehicles

“…In this subsection, we present the overview of Vehicle-to-Network (V2N) C-ITS services which are currently under development and their communication requirements. Based on analysis of the available literature including research papers, research project deliverables, and standardization documents [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33], we compiled a communication and localization requirements framework of envisaged V2N C-ITS services. The example of the framework is illustrated in Table 1 and the full framework containing requirements for all investigated V2N C-ITS services is presented in Tables A1 and A2.…”