Abstract
Manufacturing industry is continuously evolving since the very beginning of the industrial era. This modernization is undoubtedly the outcome of continuous new technology development in this field, which has kept the industries on the verge, looking for new methods for improving productivity enhancement and better operational efficiency. The advent of 5G will provide the world of industry to connect its infrastructures to digitize people and machines to optimize production flows. Narrow-band-IoT addresses “Massive IoT” type use cases, which involve deploying a large energy-efficient quantity. These low-complex objects do not need to communicate very frequently. 5G will provide the ability to develop new uses previously impossible or complex to implement. Consequently, it will complement the range of network solutions already in place in the company, giving it the keys to accelerating its transformation. This paper evaluates the 5G-NR-based IoT air interface with the FEC with industrial channel models. Low-density parity-check (LDPC), polar, turbo code, and TBCC are assumed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
GPP: Release 15. Retrieved March 2, 2017. http://www.3gpp.org/release-15
Carlton, A.: 5g reality check: Where is 3gpp on standardization? Retrieved March 18th, 2017
Slalmi, A., Chaibi, H., Saadane, R., Chehri, A., Jeon, G.: 5G NB-IoT: Efficient Network Call Admission Control in Cellular Networks. In: concurrency and computation: practice and experience. Wiley, e6047. https://doi.org/10.1002/cpe.6047
Slalmi, A., Chaibi, H., Chehri, A., Saadane, R., Jeon, G., Hakem, N.: On the ultra-reliable and low-latency communications for tactile internet in 5G era. In: 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Verona, Italy, 16–18 September 2020
Slalmi A., Saadane R., Chehri A., Kharraz H.: How Will 5G Transform Industrial IoT: Latency and Reliability Analysis. In: Zimmermann A., Howlett R., Jain L. (eds) Human Centred Intelligent Systems. Smart Innovation, Systems and Technologies, vol 189. Springer, Singapore (2020)
Chen, S., Zhao, J.: The requirements, challenges, and technologies for 5 g of terrestrial mobile telecommunication. IEEE Comm. Magazine 52(5), 36–43 (2014)
Nokia: White paper: 5 g use cases and requirements (2014)
Sabella, A., Wbben, D.: Cloud technologies for flexible 5 g radio access networks. IEEE Communications Magazine 52(5), 68–76
Tehrani, M.N., Uysal, M., Yanikomeroglu, H.: Device-to-device communication in5g cellular networks: Challenges, solutions and future directions. IEEE Communications Magazine 52(5), 86–92 (2014)
Kunz, A., Kim, H., Kim, L., Husain, S.S.: Machine type communications in 3GPP: From release 10 to release 12. 2012 IEEE Globecom Workshops, Anaheim, CA, pp. 1747–1752 (2012). https://doi.org/10.1109/GLOCOMW.2012.6477852
Wahle, S., Magedanz T., Schulze, F.: The OpenMTC framework—M2M solutions for smart cities and the internet of things. IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), San Francisco, CA (2012)
Slalmi, A., Saadane, R., Chehri, A.: Energy Efficiency Proposal for IoT Call Admission Control in 5G Network. In: 15th International Conference on Signal Image Technology & Internet Based Systems, Sorrento (NA), Italy, November 2019
Chehri, A., Mouftah, H.: An empirical link-quality analysis for wireless sensor networks. Proc. Int. Conf. Comput. Netw. Commun. (ICNC), 164–169 (2012)
Chehri, A., Chaibi, H., Saadane, R., Hakem, N., Wahbi, M.: A framework of optimizing the deployment of IoT for precision agriculture industry, vol 176, 2414–2422 (2020). ISSN 1877-0509, KES 2020
Chehri, A.: The industrial internet of things: examining how the IIoT will improve the predictive maintenance. Ad Hoc Networks, Lecture Notes of the Institute for Computer Sciences, Smart Innovation Systems and Technologies, Springer (2019)
Chehri, A.: Routing protocol in the industrial internet of things for smart factory monitoring: Ad Hoc networks, Lecture Notes of the Institute for Computer Sciences, Smart Innovation Systems and Technologies, Springer (2019)
GPP, 5G NR; Overall Description; Stage-2, 3GPP TS 38.300 version 15.3.1 Release 15, October 2018
GPP TS 38.331 v.15.1.0: NR. Radio Resource control (RRC), Protocol Specification, 2015
GPP. TS 45.820 v2.1.0: Cellular System Support for Ultra Low Complexity and Low Throughput Internet of Things, 2015
Furuskär A., Parkvall, S., Dahlman, E., Frenne, M.: NR: The new 5G radio access technology. IEEE Communications Standards Magazine (2017)
Chehri, A., Mouftah, H.T.: New MMSE downlink channel estimation for Sub-6 GHz non-line-of-sight backhaul. In: 2018 IEEE Globecom Workshops (GC Workshops), Abu Dhabi, United Arab Emirates, pp. 1–7 (2018). https://doi.org/10.1109/GLOCOMW.2018.8644436
GPP. TS 38.213 v15.1.0: Physical Layer Procedures for Control, 2018
Vardy, T.: List decoding of polar codes. IEEE Trans. Inf. Theory 61(5), 2213–2226 (2015)
Tahir, B., Schwarz, S., Rupp, M.: BER comparison between Convolutional, Turbo, LDPC, and Polar codes. I: 2017 24th International Conference on Telecommunications (ICT), Limassol, pp. 1–7 (2017)
Al-Samman, A.M., Rahman, T.A., Azmi, M.H., Hindia, M.N., Khan, I., Hanafi, E.: Statistical Modelling and Characterization of Experimental mm-Wave Indoor Channels for Future 5G Wireless Communication Networks. PLoS ONE 11(9), (2016)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chehri, A., Chaibi, H., Saadane, R., Ouafiq, E.M., Slalmi, A. (2022). On the Performance of 5G Narrow-Band Internet of Things for Industrial Applications. In: Ben Ahmed, M., Teodorescu, HN.L., Mazri, T., Subashini, P., Boudhir, A.A. (eds) Networking, Intelligent Systems and Security. Smart Innovation, Systems and Technologies, vol 237. Springer, Singapore. https://doi.org/10.1007/978-981-16-3637-0_19
Download citation
DOI: https://doi.org/10.1007/978-981-16-3637-0_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-3636-3
Online ISBN: 978-981-16-3637-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)