Experimental Assessment of 5G MEC Architectures for Intelligent Applications in Smart Cities

This study provides a comparative analysis of various Multi-Access Edge Computing (MEC) architectures across different application types. We have developed and tested distinct MEC configurations, each with unique benefits. Notably, MEC managed by the Internet Service Provider (ISP) achieved the lowest latencies, as demonstrated with an experimental Vulnerable Road User (VRU) application, offering an optimal balance between performance and ease of deployment. Additionally, we examined the feasibility of a municipality-managed MEC, enabling local authorities to maintain full control over access technologies and service reachability, along with enhanced trust in the infrastructure. Although latency is slightly higher than with the ISP’s MEC, this approach offers advantages in autonomy and security. The findings demonstrate how different MEC architectures can be tailored to specific application requirements, balancing performance, control, and trust in the infrastructure.

Authors

Institutions

Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/iccworkshops67674.2025.11162425
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental Assessment of 5G MEC Architectures for Intelligent Applications in Smart Cities

Carlo Augusto Grazia, Marco Mamei, Marcello Pietri, Marco Picone et al.
Advanced MIMO Systems Optimization
article

Experimental Assessment of 5G MEC Architectures for Intelligent Applications in Smart Cities

Carlo Augusto Grazia, Marco Mamei, Marcello Pietri, Marco Picone, Enrico Rossini
article en

Abstract

This study provides a comparative analysis of various Multi-Access Edge Computing (MEC) architectures across different application types. We have developed and tested distinct MEC configurations, each with unique benefits. Notably, MEC managed by the Internet Service Provider (ISP) achieved the lowest latencies, as demonstrated with an experimental Vulnerable Road User (VRU) application, offering an optimal balance between performance and ease of deployment. Additionally, we examined the feasibility of a municipality-managed MEC, enabling local authorities to maintain full control over access technologies and service reachability, along with enhanced trust in the infrastructure. Although latency is slightly higher than with the ISP’s MEC, this approach offers advantages in autonomy and security. The findings demonstrate how different MEC architectures can be tailored to specific application requirements, balancing performance, control, and trust in the infrastructure.

University of Modena and Reggio Emilia (IT), Ferrari (Italy) (IT)
Openalex Percentile: Top 75%
Advanced MIMO Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Experimental Assessment of 5G MEC Architectures for Intelligent Applications in Smart Cities — Carlo Augusto Grazia, Marco Mamei, et al. · (2025) | TGRS Research Map | TGRS