Evaluation of LDPC Code and Polar Code Coding Scheme in 5G Technology – Massive Machine Type Communication

2018 ◽  
Author(s):  
Guntur Kuntoro Prayogo ◽  
Reihan Putra ◽  
Akmal Hugo Prasetyo ◽  
Muhammad Suryanegara
Keyword(s):  
Ldpc Code ◽  
Polar Code ◽  
Machine Type ◽  
Coding Scheme ◽  
Machine Type Communication

scholarly journals Distributed Group Location Update Algorithm for Massive Machine Type Communication

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7336
Author(s):  
Mincheol Paik ◽  
Haneul Ko
Keyword(s):  
Outage Probability ◽  
Stochastic Game ◽  
Location Update ◽  
Response Dynamics ◽  
Small Energy ◽  
Machine Type ◽  
Best Response ◽  
Machine Type Communication ◽  
Iot Devices ◽  
The Individual

Frequent location updates of individual Internet of Things (IoT) devices can cause several problems (e.g., signaling overhead in networks and energy depletion of IoT devices) in massive machine type communication (mMTC) systems. To alleviate these problems, we design a distributed group location update algorithm (DGLU) in which geographically proximate IoT devices determine whether to conduct the location update in a distributed manner. To maximize the accuracy of the locations of IoT devices while maintaining a sufficiently small energy outage probability, we formulate a constrained stochastic game model. We then introduce a best response dynamics-based algorithm to obtain a multi-policy constrained Nash equilibrium. From the evaluation results, it is demonstrated that DGLU can achieve an accuracy of location information that is comparable with that of the individual location update scheme, with a sufficiently small energy outage probability.

Lightweight Cryptography in 5G Machine-Type Communication

2017 ◽  
pp. 127-144
Author(s):  
Hüsnü Yıldız ◽  
Adnan Kılıç ◽  
Ertan Onur
Keyword(s):  
Lightweight Cryptography ◽  
Machine Type ◽  
Machine Type Communication

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 Research on the convergence architecture of 5G and industrial communication

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 ◽  
Machine Type Communication ◽  
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.

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