A Framework for 5G Ultra-Reliable Low Latency for Industrial and Mission-Critical Machine-Type Communication

<div>In this paper, a successive interference cancellation (SIC) aided K-repetition scheme is proposed to support contention-based mission-critical machine-type communication (MTC) in cell-free (CF) massive multiple-input and multipleoutput (MIMO) systems. With the assistance of a tailored deep neural network (DNN) based preamble multiplicity estimator, the proposed SIC in K-repetition is capable of fully cancelling the interference signals, which leads to the reliability improvement in CF massive MIMO. Simulation results show the accuracy of preamble multiplicity estimation by the proposed DNN, and</div><div>demonstrate that, compared to the existing schemes, the proposed SIC scheme can achieve an improvement of two orders of magnitude in terms of block error rate (BLER) under a given latency constraint. Moreover, when the number of access points (APs) is sufficiently large, employing the proposed SIC scheme provides a great potential to meet ultra-reliable and low-latency requirements, e.g., 10<sup>-5 </sup>BLER and 1 ms access latency, for crowd mission-critical applications, which is far beyond the capabilities of the existing schemes.</div>

2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA) ◽

Providing Physical Layer Security for Mission Critical Machine Type Communication

10.1109/etfa.2016.7733691 ◽

2016 ◽

Cited By ~ 7

Author(s):

Andreas Weinand ◽

Abhijit Ambekar ◽

Michael Karrenbauer ◽

Hans D. Schotten

Keyword(s):

Physical Layer Security ◽

Physical Layer ◽

Machine Type ◽

Critical Machine ◽

Physical Layer Authentication for Mission Critical Machine Type Communication Using Gaussian Mixture Model Based Clustering

2017 IEEE 85th Vehicular Technology Conference (VTC Spring) ◽

10.1109/vtcspring.2017.8108527 ◽

2017 ◽

Cited By ~ 4

Author(s):

Andreas Weinand ◽

Michael Karrenbauer ◽

Ji Lianghai ◽

Hans D. Schotten

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Physical Layer ◽

Model Based Clustering ◽

Machine Type ◽

Model Based ◽

Critical Machine ◽

SIC Aided K-Repetition for Mission-Critical MTC in Cell-Free Massive MIMO

10.36227/techrxiv.17078402.v1 ◽

2021 ◽

Author(s):

Jie Ding ◽

Jinho Choi

Keyword(s):

Interference Cancellation ◽

Massive Mimo ◽

Mimo Systems ◽

Reliability Improvement ◽

Machine Type ◽

Critical Machine ◽

Multiple Input ◽

Interference Signals ◽

<div>In this paper, a successive interference cancellation (SIC) aided K-repetition scheme is proposed to support contention-based mission-critical machine-type communication (MTC) in cell-free (CF) massive multiple-input and multipleoutput (MIMO) systems. With the assistance of a tailored deep neural network (DNN) based preamble multiplicity estimator, the proposed SIC in K-repetition is capable of fully cancelling the interference signals, which leads to the reliability improvement in CF massive MIMO. Simulation results show the accuracy of preamble multiplicity estimation by the proposed DNN, and</div><div>demonstrate that, compared to the existing schemes, the proposed SIC scheme can achieve an improvement of two orders of magnitude in terms of block error rate (BLER) under a given latency constraint. Moreover, when the number of access points (APs) is sufficiently large, employing the proposed SIC scheme provides a great potential to meet ultra-reliable and low-latency requirements, e.g., 10<sup>-5 </sup>BLER and 1 ms access latency, for crowd mission-critical applications, which is far beyond the capabilities of the existing schemes.</div>

Pushing the Limits: Resilience Testing for Mission-Critical Machine-Type Communication

10.1109/vtc2021-fall52928.2021.9625209 ◽

2021 ◽

Author(s):

Christian Arendt ◽

Manuel Patchou ◽

Stefan Bocker ◽

Janis Tiemann ◽

Christian Wietfeld

Keyword(s):

Machine Type ◽

Critical Machine ◽

1.5 Gbit/s FPGA Implementation of a Fully-Parallel Turbo Decoder Designed for Mission-Critical Machine-Type Communication Applications

IEEE Access ◽

10.1109/access.2016.2599408 ◽

2016 ◽

Vol 4 ◽

pp. 5452-5473 ◽

Cited By ~ 14

Author(s):

An Li ◽

Peter Hailes ◽

Robert G. Maunder ◽

Bashir M. Al-Hashimi ◽

Lajos Hanzo

Keyword(s):

Fpga Implementation ◽

Turbo Decoder ◽

Machine Type ◽

Critical Machine ◽

Mission-Critical Machine-Type Communication: An Overview and Perspectives Towards 5G

IEEE Access ◽

10.1109/access.2019.2894263 ◽

2019 ◽

Vol 7 ◽

pp. 127198-127216 ◽

Cited By ~ 11

Author(s):

Najib Ahmed Mohammed ◽

Ali Mohammed Mansoor ◽

Rodina Binti Ahmad

Keyword(s):

Machine Type ◽

Critical Machine ◽

Research on the convergence architecture of 5G and industrial communication

MATEC Web of Conferences ◽

10.1051/matecconf/202133604013 ◽

2021 ◽

Vol 336 ◽

pp. 04013

Author(s):

Zhen Wang ◽

Dantao Han ◽

Yanjie Gong ◽

Yanling Zhao

Keyword(s):

Communication Technology ◽

Future Development ◽

Mobile Communication ◽

Industrie 4.0 ◽

Low Latency ◽

Network Configuration ◽

Access Technology ◽

Machine Type ◽

Mobile Communication Technology

As the next generation of mobile communication technology, 5G has the characteristics of enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), and ultra-reliable low latency communication (URLLC), which are critical technologies for the future development of industrie 4.0. So far, these technologies have been explored and applied in industry, however, there is still a lack of general architectures. This paper presents a 5G and industrial communication convergence architecture and elaborates on the implementation methods from the aspects of device access technology and network configuration strategies, and discusses the transparent transmission and mapping methods adopted by 5G terminal access technology as well.