Perancangan dan Implementasi Sistem Multi-Access Edge Computing dengan Use Case Face Mask Detection pada Open RAN SmartLab Politeknik Negeri Jakarta

Authors

  • Akita Hasna Mayanti Politeknik Negeri Jakarta
  • Raviadin Nugroho Politeknik Negeri Jakarta
  • Asri Wulandari Politeknik Negeri Jakarta
  • Alfin Hikmaturokhman Institut Teknologi Telkom Purwokerto https://orcid.org/0000-0001-7643-9149

DOI:

https://doi.org/10.61769/telematika.v18i2.619

Keywords:

Open RAN, use case, latency, multi-access edge computing, face mask detection, network virtualization

Abstract

Multi-access edge computing (MEC) has emerged as a hot topic in recent years which coincides with the advancement of 5G network technology. The designed MEC utilizes the network infrastructure in the SmartLab of Politeknik Negeri Jakarta. MEC is built to reduce latency and accelerate data transfer between devices and servers to support the learning process at SmartLab Politeknik Negeri Jakarta. The system uses an Open RAN network and server as an MEC platform to process content with distributed edge computing running on top of virtualization infrastructure and located at the network edge. The face mask detection use case is accessed in real time when the use case is running. Tests were conducted by defining implementation scenarios and comparing downlink, uplink, and latency as multi-access edge computing comparison parameters. The success of the face mask detection use case on the MEC infrastructure is also examined. After running the test scenario, it was found that multi-access edge computing has a maximum value for downlink of 21.70 Mbps, a maximum uplink value of 22.70 Mbps, and a maximum latency value of 15 ms. In addition, the face mask detection use case implementation in the test scenario was successfully run on the MEC infrastructure.

Author Biographies

Akita Hasna Mayanti, Politeknik Negeri Jakarta

Multimedia Broadband Study Program, Electrical Engineering Department

Raviadin Nugroho, Politeknik Negeri Jakarta

Multimedia Broadband Study Program, Electrical Engineering Department

Asri Wulandari, Politeknik Negeri Jakarta

Multimedia Broadband Study Program, Electrical Engineering Department

Alfin Hikmaturokhman, Institut Teknologi Telkom Purwokerto

Telecommunication Engineering Study Program

References

A. Wulandari, M. Hasan, dan A. Hikmaturokhman, “Private 5G network capacity and coverage deployment for vertical industries: case study in Indonesia,” dalam Proceeding IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2022, IEEE, Nov. 2022, hlm. 317–322. DOI: 10.1109/COMNETSAT56033.2022.9994332.

P. A. Budiman, Marfani, dan D. M. Sari, “Multi-access edge computing implementation on tower ecosystem Indonesia: challenges and Visibility,” dalam International Conference on ICT Convergence, 2022, hlm. 158–162. DOI: 10.1109/ICTC55196.2022.9952477.

A. Filali, A. Abouaomar, S. Cherkaoui, A. Kobbane, dan M. Guizani, “Multi-access edge computing: A survey,” IEEE Access, vol. 8. hlm. 197017–197046, 2020. DOI: 10.1109/ACCESS.2020.3034136.

L. Damayanti, D. Panggabean, S. R. Pingkan, A. Wulandari, A. Hikmaturokhman, dan A. Hidayatullah, “Design and build 4G open radio access network at SmartLab Politeknik Negeri Jakarta,” J. Informatics Telecommun. Eng., vol. 6, no. 2, hlm. 414–423, Jan. 2023, DOI: 10.31289/jite.v6i2.7537.

E. Jordan, “Open RAN 101–Open RAN: Why, what, how, when? RCR Wireless News.” 2022.

M. Shodikin, “Analisis perancangan LTE Home pada jaringan 4G LTE berbasis open radio access network,” J. Pepadu, vol. 2, no. 4, hlm. 408–420, 2021, DOI: 10.29303/pepadu.v2i4.2255.

Software Radio Systems, “srsRAN 21.10 Documentation.” [Daring]. Tersedia: https://docs.srsran.com/en/latest/

Open5GS, “Introduction to Open5GS.” [Daring]. Tersedia: https://open5gs.org/open5gs/docs/

ETSI GS MEC 003, “Multi-Access Edge Computing (MEC),” Framework and Reference Architecture. 2022.

Q. V. Pham et al., “A survey of multi-access edge computing in 5G and beyond: fundamentals, technology integration, and state-of-the-art,” IEEE Access, vol. 8. hlm. 116974–117017, Jun. 2020. DOI: 10.1109/ACCESS.2020.3001277.

Z. Wang, P. Wang, P. C. Louis, L. E. Wheless, dan Y. Huo, “WearMask: Fast in browser face mask detection with serverless edge computing for Covid-19,” dalam IS&T International Symposium on Electronic Imaging Science and Technology, Jan. 2023, hlm. 229-1-229–6. DOI: 10.2352/EI.2023.35.11.HPCI-229.

Downloads

Published

2024-01-19

Issue

Vol. 18 No. 2 (2023)

Section

Articles

License

Copyright (c) 2023 Akita Hasna Mayanti, Raviadin Nugroho, Asri Wulandari, Alfin Hikmaturokhman

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
  3. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.