5G-MEC Testbeds for V2X Applications

Round 1

Reviewer 1 Report

This paper presents a generalized overview of implementing a 5G-MEC testbed for Vehicle-to-Everything (V2X) 6 applications, as well as the analysis of some important testbeds and state-of-the-art implementations. However, the following comments could enhance this work:

1. The authors discussed the testbed of 5G-V2X.  Could you please introduce the value proposition of 5G-V2X test beds and what are the main challenges in carrying out experiments on those test beds?

2. Since 5G-V2X applications collect sensing data from the environment for processing, how do those test beds collect sensing data? In addition, what are the examples of 5G-V2X applications that have been implemented using those test beds? Table 3 can be enhanced by showing how data were collected

3. We are concerned about the power and resources overhead of those 5G-V2X tools and testbeds. Could you please summarize the hardware characteristics on which those tools were deployed and what are the impact of power and resources overhead?

 

Consider after minor revision.

Author Response

Please see the attachment for the response to the review report. 

Author Response File: Author Response.pdf

Reviewer 2 Report

In this manuscript, the authors outline implementation specifications of 5G-MEC testbeds for V2X communications. To this end, the authors first present the general considerations of these testbeds in terms of hardware and software elements. Then, they analyze a handful of state-of-the-art existing testbeds that are based on open-source platforms and tools, as well as provide discussions related to their complexity and utilization challenges. The research topic is interesting and well-presented. In my view, the following will aspect in the discussion/conclusion section will further improve the quality of the manuscript:

 

·       The authors should mention whether these testbeds can host future data-intensive applications and IoT-based systems that run at the far edge, including architectural approaches that try to minimize the amount of transferred data in the Cloud-Edge-IoT continuum. Sample references are:

1.     Rizou, Stamatia, et al. "Programmable edge-to-cloud virtualization for 5G media industry: The 5G-media approach." Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops: MHDW 2020 and 5G-PINE 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings 16. Springer International Publishing, 2020.

2.     Trakadas, Panagiotis, et al. "A Reference Architecture for Cloud–Edge Meta-Operating Systems Enabling Cross-Domain, Data-Intensive, ML-Assisted Applications: Architectural Overview and Key Concepts." Sensors 22.22 (2022): 9003.

3.     Alvarez, Federico, et al. "An edge-to-cloud virtualized multimedia service platform for 5G networks." IEEE Transactions on Broadcasting 65.2 (2019): 369-380.

Author Response

Please see the attachment for the response to the review report. 

Author Response File: Author Response.pdf