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Journal Achievements of Modern Radioelectronics №8 for 2023 г.
Article in number:
Use of network coding for massive machine type communications
Type of article: scientific article
DOI: https://doi.org/10.18127/j20700784-202308-07
UDC: 621.39
Authors:

N.A. Yankovskiy1

1 St. Petersburg State University of Aerospace Instrumentation (SUAI) (St. Petersburg, Russia)

Abstract:

Cellular communication systems with a large number of user devices, called machine-to-machine communications, have become widespread these days. The main requirements of the fifth generation communication standard for this type of communication are to ensure low latency and high reliability of data transmission.

To develop a data transmission scheme in the upstream communication channel, which allows to reduce the average delay while maintaining the requirements for transmission reliability.

A data transmission scheme based on network coding was proposed for a two-stage random access algorithm in mass machine-to-machine communication systems. The effectiveness of the proposed solution was tested using simulation modeling. Numerical results show that the use of the proposed scheme makes it possible to significantly reduce the delay in transmitting a message in the uplink for all the considered numbers of user devices in the cell. At the same time, the complication of the decoding procedure allowed for a higher level of reliability of data transmission. Thus, the proposed scheme provides the best key performance indicators put forward by the standard for this type of networks.

The obtained results will help developers of communication systems to plan the deployment of wireless centralized networks in industry.

Pages: 50-57
For citation

Yankovskiy N.A. Use of network coding for massive machine type communications. Achievements of modern radioelectronics. 2023. V. 77. № 8. P. 50–57. DOI: https://doi.org/10.18127/j20700784-202308-07 [in Russian]

References
  1. Shfi M., Molisch A. F., Smith P. J., Haustein T., Zhu P., Silva P. D., Tufvesson F., Benjebbour A., Wunder G. 5G: A tutorial overview of standards, trials, challenges, deployment, and practice. IEEE J. Selected Areas in Communications. June 2017. V. 35. P. 1201–1221.
  2. Agiwal M., Roy A., Saxena N. Next generation 5G wireless networks: A comprehensive survey. IEEE Communications Surveys Tutorials. 2016. V. 18. № 3. P. 1617–1655.
  3. Sutton G.J., Zeng J., Liu R.P., Ni W. & etc. Enabling technologies for ultra-reliable and low latency communications: From PHY and MAC layer perspectives. IEEE Communications Surveys Tutorials. 2019. V. 21. № 3. P. 2488–2524.
  4. 3GPP, Study on physical layer enhancements for NR ultra-reliable and low latency case (URLLC) (release 16). 3GPP TR 38.824 V2.0.1. 2019.
  5. 5G Americas, New services and applications with 5G ultra-reliable low-latency communication, 5G Americas, 2020. Available at: https://www.5gamericas.org/new-services-applications-with-5g-ultra-reliable-low-latency-communications/ (accessed 7 May 2022) (In English).
  6. Popovski P., Stefanovic C., Nielsen J.J. & etc. Wireless access in ultra-reliable low-latency communication (URLLC). IEEE Trans. Communications. 2019. V. 67. № 8. P. 5783–5801.
  7. Bennis M., Debbah M., Poor H.V. Ultrareliable and low-latency wireless communication: Tail, risk, and scale. Proceedings of the IEEE. 2018. V. 106. № 10. P. 1834–1853.
  8. Pokhrel S.R., Ding J., Park J., Park O.S., Choi J. Towards enabling critical mMTC: A review of URLLC within mMTC. IEEE Access. 2020. V. 8. P. 131796–131813.
  9. 3GPP TS 22.146, LTE. Multimedia Broadcast/Multicast Service (MBMS). Stage 1 (Version 11.1.0 Release 11), 2013.
  10. Wicker S.B. Error Control Systems for Digital Communication and Storage. Prentice Hall, 1995.
  11. Lin S., Costello D. Error Control Coding: Fundamentals and Applications. Pearson-Prentice Hall, 2004, second ed.
  12. Makki B., Svensson T., Caire G., Zorzi M. Fast HARQ over finite blocklength codes: A technique for low-latency reliable communication. IEEE Trans. Wireless Communications. 2019. V. 18. № 1. P. 194–209.
  13. Strodthoff N., Goktepe B., Schierl T., Hellge C., Samek W. Enhanced machine learning techniques for early HARQ feedback prediction in 5G. IEEE J. Selected Areas in Communications. 2019. V. 37. № 11. P. 2573–2587.
  14. 3GPP RP-181477. SID on physical layer enhancements for NR URLLC. Jun. 2018.
  15. Pocovi G., Shariatmadari H., Berardinelli G., Pedersen K., Steiner J., Li Z. Achieving ultra-reliable low-latency communications: Challenges and envisioned system enhancements. IEEE Network, March 2018. V. 32. P. 8–15.
  16. Moon S., Lee J.W. Performance Study of Repetition-Based Grant-Free Schemes in the mMTC Scenario. 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC). 2019. P. 1–2. Doi: 10.1109/ITC-CSCC.2019.8793363.
  17. Karzand M., Leith D. J., Cloud J., Medard M. Design of FEC for low delay in 5G. IEEE J. Selected Areas in Communications, 2017. V. 35. № 8. P. 1783–1793.
  18. Radio Resource Control (RRC) Protocol specification, document TS 38.331 V16.1.0, 3GPP, Sophia, Antipolis, France, Jul. 2018.
  19. Jacobsen T., Abreu R., Berardinelli G., Pedersen K., Kovacs I.Z., Mogensen P. System level analysis of K-repetition for uplink grant-free URLLC in 5G NR. European Wireless 2019, 25th European Wireless Conf., May 2019. P. 1–5.
  20. Liu Y., Deng Y., Elkashlan M., Nallanathan A., Karagiannidis G.K. Analyzing Grant-Free Access for URLLC Service. IEEE Journal on
    Selected Areas in Communications. March 2021. V. 39. № 3. P. 741–755. Doi: 10.1109/JSAC.2020.3018822.
Date of receipt: 07.07.2023
Approved after review: 18.07.2023
Accepted for publication: 24.07.2023