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

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 127198-127216 ◽  
Author(s):  
Najib Ahmed Mohammed ◽  
Ali Mohammed Mansoor ◽  
Rodina Binti Ahmad
Keyword(s):  
Machine Type ◽  
Critical Machine ◽  
Machine Type Communication ◽  
Mission Critical

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

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 ◽  
Machine Type Communication ◽  
Mission Critical

<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>

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

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 ◽  
Machine Type Communication ◽  
Mission Critical

<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>

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

2021 ◽  
Author(s):  
Christian Arendt ◽  
Manuel Patchou ◽  
Stefan Bocker ◽  
Janis Tiemann ◽  
Christian Wietfeld
Keyword(s):  
Machine Type ◽  
Critical Machine ◽  
Machine Type Communication ◽  
Mission Critical

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

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 5452-5473 ◽  
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 ◽  
Machine Type Communication ◽  
Mission Critical

scholarly journals Ultra-Reliable Communication for Critical Machine Type Communication via CRAN-Enabled Multi-Connectivity Diversity Schemes

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8064
Author(s):  
Binod Kharel ◽  
Onel Luis Alcaraz López ◽  
Hirley Alves ◽  
Matti Latva-aho
Keyword(s):  
Antenna Selection ◽  
Closed Form Expression ◽  
Transmit Antenna Selection ◽  
Reliable Communication ◽  
Machine Type ◽  
Critical Machine ◽  
Machine Type Communication ◽  
The Impact ◽  
Ratio Transmission ◽  
Maximum Ratio Transmission

This paper focuses on edge-enabled cloud radio access network architecture to achieve ultra-reliable communication, a crucial enabler for supporting mission-critical machine-type communication networks. We propose coordinated multi-point transmission schemes taking advantage of diversity mechanisms in interference-limited downlink cellular networks. The network scenario comprises spatially distributed multiple remote radio heads (RRHs) that may cooperate through silencing, or by using more elaborated diversity strategies such as maximum ratio transmission or transmit antenna selection to serve user equipment in the ultra-reliable operation regime. We derive an exact closed-form expression for the outage probabilities and expected values of signal-to-interference ratio for silencing, transmit antenna selection and maximum ratio transmission schemes. We formulate rate control and energy efficiency under reliability constraints to test the performance and resource usage of the proposed schemes. Furthermore, we study the impact on average system sum throughput with throughput-reliability trade-off under cooperative communication. Extensive numerical analysis shows the feasibility of ultra-reliable communication by implementing diversity schemes with RRHs cooperation.

Code-Division OFDM Joint Communication and Sensing System for 6G Machine-type Communication

2021 ◽  
pp. 1-1
Author(s):  
Xu Chen ◽  
Zhiyong Feng ◽  
Zhiqing Wei ◽  
Ping Zhang ◽  
Xin Yuan
Keyword(s):  
Machine Type ◽  
Sensing System ◽  
Machine Type Communication
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