Machine-type communications

doi:10.1017/CBO9781316417744.005

4 - Machine-type communications

Published online by Cambridge University Press: 05 June 2016

Joachim Sachs ,

Petar Popovski ,

Andreas Höglund ,

David Gozalvez-Serrano and

Peter Fertl

Edited by

Afif Osseiran ,

Jose F. Monserrat and

Patrick Marsch

Foreword by

Mischa Dohler and

Takehiro Nakamura

Show author details

Joachim Sachs: Affiliation:
Ericsson
Petar Popovski: Affiliation:
Aalborg University
Andreas Höglund: Affiliation:
Ericsson
David Gozalvez-Serrano: Affiliation:
BMW
Peter Fertl: Affiliation:
BMW
Afif Osseiran: Affiliation:
Ericsson
Jose F. Monserrat: Affiliation:
Universitat Politècnica de València
Patrick Marsch: Affiliation:
Nokia
Mischa Dohler: Affiliation:
King's College London
Takehiro Nakamura: Affiliation:
NTT DoCoMo Inc.

Book contents

Get access

Summary

Introduction

Machine-Type Communication (MTC) denotes the broad area of wireless communication with sensors, actuators, physical objects and other devices not directly operated by humans. Different types of radio access technologies are targeting MTC (see [1]). For Long Term Evolution (LTE), it has emerged as an important communication mode during the recent standard evolution. The research and development efforts made to enhance LTE in a way to support MTC clearly indicate the need for the wireless system architecture to address MTC. As the role of MTC is expected to grow in the future, there is a good opportunity in the development of a 5G wireless system to address MTC from the very beginning in the system design.

This chapter is organized in the following way. Section 4.1 outlines some of the most important use cases for MTC and categorizes MTC into the groups of massive MTC (mMTC) and ultra-reliable and low-latency MTC (uMTC). The requirements for these two MTC categories are defined. Section 4.2 describes some fundamental techniques for MTC. Sections 4.3 and 4.4 address mMTC and uMTC respectively and explain the corresponding design principles and technology components. Section 4.5 summarizes the chapter.

Use cases and categorization of MTC

The general use case of low-rate MTC

MTC use cases exist in a wide range of areas. They are mainly related to large numbers of sensors monitoring some system state or events, potentially with some form of actuation to control an environment. One example is automation of buildings and homes, where the state e.g. of the lighting, heating, ventilation and air condition, energy consumption, are observed and/or controlled. There are also wide area use cases, such as environmental monitoring over larger areas, monitoring of some infrastructure (e.g. roads, industrial environments, ports), available parking spaces in cities, management of object fleets (e.g. rental vehicles/bicycles), asset tracking in logistics, monitoring and assistance of patients. There are use cases that comprise remote areas, such as in smart agriculture. In the context of the use cases described in Chapter 2, MTC appears as an important, if not the crucial, element in (1) autonomous vehicle control, (3) factory cell automation, (6) massive amount of geographically spread devices, (10) smart city, (12) teleprotection in smart grid network and (15) smart logistics/remote control of industry applications.

Type: Chapter
Information: 5G Mobile and Wireless Communications Technology , pp. 77 - 106

DOI: https://doi.org/10.1017/CBO9781316417744.005 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2016

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Andreev, S., Galinina, O., Pyattaev, A., Gerasimenko, M., Tirronen, T., Torsner, J., Sachs, J., Dohler, M., and Koucheryavy, Y., “Understanding the IoT connectivity landscape: A contemporary M2M radio technology roadmap,” IEEE Communications Magazine, vol. 53, no. 9, pp. 32–40, 2015.Google Scholar

[2] Condoluci, M., Dohler, M., Araniti, G., Molinaro, A., and Sachs, J., “Enhanced radio access and data transmission procedures facilitating industry-compliant machine-type communications over LTE-based 5G networks,” IEEE Wireless Communications Magazine, vol. 23, no. 1, pp. 56–63, 2016.Google Scholar

[3] Nielsen, J. J., Madueño, G. C., Pratas, N. K., Sørensen, R. B., Stefanović, Č., and Popovski, P., “What can wireless cellular technologies do about the upcoming smart metering traffic?,” IEEE Communications Magazine, vol. 53, no. 9, pp. 41–47, 2015.Google Scholar

[4] Frotzscher, A., Wetzker, U., Bauer, M., Rentschler, M., Beyer, M., Elspass, S., and Klessig, H., “Requirements and current solutions of wireless communication in industrial automation,” in IEEE International Conference on Communications Workshops , Ottawa, June 2014.

[5] Condoluci, M., Dohler, M., Araniti, G., Molinaro, A., and Zheng, K.. “Toward 5G densenets: Architectural advances for effective machine-type communications over femtocells,” IEEE Communications Magazine, vol. 53, no. 1, pp. 134–141, 2015.Google Scholar

[6] ICT-317669 METIS Project, “Scenarios, requirements and KPIs for 5G mobile and wireless system,” Deliverable 1.1, April 2013.

[7] 3GPP TR 36.888, “Study on provision of low-cost Machine-Type Communications (MTC) User Equipments (UEs) based on LTE Equipments (UEs) based on LTE,” Technical Report TR 36.888 V12.0.0, Technical Specification Group Radio Access Network, June 2013.

[8] VODAFONE Group Plc, “Update to study item on cellular system support for ultra low complexity and low throughput internet of things,” Study item, GP-150354, 3GPP TSG-GERAN Meeting #66, May 2015.

[9] Madueño, G. C., Stefanovic, C., and Popovski, P., “How many smart meters can be deployed in a GSM cell?,” in IEEE International Conference on Communications Workshops , Budapest, June 2013.

[10] 3GPP TR 45.820, “Cellular system support for ultra-low complexity and low throughput internet of things (CIoT) (Release 13),” Technical Report, TR 45.820 V13.1.0, Technical Specification Group GSM/EDGE Radio Access Network, December 2015.

[11] Qualcomm Incorporated, “New work item: NarrowBand IOT (NB-IOT),” Work Item RP-151621, 3GPP TSG RAN Meeting #69, September 2015.

[12] ETSI GS LTN 003, “Low throughput networks (LTN): Protocols and interfaces,” September 2014.

[13] Popovski, P., “Ultra-reliable communication in 5G wireless systems,” in International Conference on 5G for Ubiquitous Connectivity, Levi, November 2014.

[14] Dahlman, E., Mildh, G., Parkvall, S., Peisa, J., Sachs, J., Selén, Y., and Sköld, J., “5G wireless access: Requirements and realization,” IEEE Communications Magazine, vol. 52, no. 12, December 2014.Google Scholar

[15] Polyanskiy, Y., Poor, H.V., and Verdu, S., “Channel coding rate in the finite blocklength regime,” IEEE Transactions on Information Theory, vol. 56, no. 5, pp. 2307–2359, May 2010.Google Scholar

[16] Paolini, E., Stefanovic, C., Liva, G., and Popovski, P., “Coded random access: Applying codes on graphs to design random access protocols,” IEEE Communications Magazine, vol. 53, no. 6, pp. 144–150, 2015.Google Scholar

[17] Laya, A., Alonso, L., and Alonso-Zarate, J., “Is the random access channel of LTE and LTE-A suitable for M2M communications? A survey of alternatives,” IEEE Communications Surveys and Tutorials, vol. 16, no. 1, pp. 4–16, 2014.Google Scholar

[18] Zheng, K., Ou, S., Alonso-Zarate, J., Dohler, M., Liu, F., and Zhu, H., “Challenges of massive access in highly dense LTE-advanced networks with machine-to-machine communications,” IEEE Wireless Communications, vol. 21, no. 3, pp. 12–18, 2014.Google Scholar

[19] ICT-317669 METIS Project, “Intermediate system evaluation results,” Deliverable 6.3, August 2014.

[20] ICT-317669 METIS Project, “Report on simulation results and evaluations,” Deliverable 6.5, March 2015.

[21] Tirronen, T., Larmo, A., Sachs, J., Lindoff, B., and Wiberg, N.. “Machine-to-machine communication with long-term evolution with reduced device energy consumption,” Transactions on Emerging Telecommunications Technologies, vol. 24, no. 4, pp. 413–426, 2013.Google Scholar

[22] ICT-317669 METIS Project, “Components of a new air interface: Building blocks and performance,” Deliverable 2.3, April 2014.

[23] 3GPP TR 37.869, “Study on enhancements to machine-type communications (MTC) and other mobile data applications,” Technical Report TR 37.869 V12.0.0, September 2013.

[24] Monsees, F., Bockelmann, C., and Dekorsy, A., “Reliable activity detection for massive machine to machine communication via multiple measurement vector compressed sensing,” in IEEE Global Communications Conference Workshops , Austin, December 2014.

[25] Au, K., Zhang, L., Nikopour, H., Yi, E., Bayesteh, A., Vilaipornsawai, U., Ma, J., and Zhu, P., “Uplink contention based SCMA for 5G radio access,” in IEEE Global Communications Conference , San Diego, March 2015.

[26] Pratas, N. K., Thomsen, H., Stefanovic, C., and Popovski, P., “Code-expanded random access for machine-type communications,” in IEEE Global Communications Conference Workshops , Anaheim, December 2012.

[27] Chan, Z. and Schulz, E., “Cross-device signaling channel for cellular machine-type services,” in IEEE Vehicular Technology Conference , Vancouver, September 2014.

[28] Yilmaz, O. N. C., Wang, Y.-P. E., Johansson, N. A., Brahmi, N., Ashraf, S. A., and Sachs, J., “Analysis of ultra-reliable and low-latency 5G communication for a factory automation use case,” in IEEE International Conference on Communication , London, June 2015.

[29] Johansson, N. A., Wang, Y.-P. E., Eriksson, E., and Hessler, M., “Radio access for ultra-reliable and low-latency 5G communications,” in IEEE International Conference on Communication , London, June 2015.

[30] Schotten, H. D., Sattiraju, R., Gozalvez-Serrano, D., Zhe, R., and Fertl, P., “Availability indication as key enabler for ultra-reliable communication in 5G,” in European Conference on Networks and Communications , Bologna, June 2014.

[31] Rauch, A., Klanner, F., Rasshofer, R., and Dietmayer, K., “Car2X-based perception in a high-level fusion architecture for cooperative perception systems,” in IEEE Intelligent Vehicles Symposium, June 2012.

[32] ICT-317669 METIS Project, “Final report on network-level solutions,” Deliverable D4.3, February 2015.

Book contents

4 - Machine-type communications

Summary

Access options

References

Save book to Kindle

Save book to Dropbox

Save book to Google Drive