scholarly journals Distributed Learning for Low Latency Machine Type Communication in a Massive Internet of Things

2019 ◽  
Vol 6 (3) ◽  
pp. 5562-5576 ◽  
Author(s):  
Taehyeun Park ◽  
Walid Saad
2021 ◽  
Vol 336 ◽  
pp. 04013
Author(s):  
Zhen Wang ◽  
Dantao Han ◽  
Yanjie Gong ◽  
Yanling Zhao

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.


2019 ◽  
Author(s):  
ALOKNATH DE

The vision of 5G is to connect multiple devices and provide meaningful services under a common rooftop, enabling the world populace to communicate to each other. It is estimated that industrial Internet of Things (IoT) alone will comprise of more than 25 billion devices by 2025 [1]-[2]. All these devices will broadly be cateogrized into three main streams of 5G principles: (1) enhanced Mobile Broadband (eMBB), (2) Ultra Reliable Low Latency Communications (URLLC) and (3) massive Machine-Type Communications (mMTC). They come with their own unique requirements that have to be adhered by the network.


As we know, world is moving into the era of modern digital technology and looking forward tomassive machine type communications (mMTC), whichis an integral part of Internet of Things (IoT). The current technologysupporting mMTC market are not standardized; therefore, there are many short comings from physical layer which includes complexity in deployment, poor reliability, lesser flexibility, security threats and high maintenance cost. To address all these challenges in 5G machine type communication (MTC), the 3rdGeneration Partnership Project (3GPP) in release 13has standardizedNarrowband Internet of Things (NB-IoT) as a better choice in deployment of 5G MTC. NB-IoT has been recommended by ITU as a 5G standard and this recognition of NB-IoT as a core technology in massive machine type communication will impact the telecommunication industry. NB-IoT mainly works on low power wide area networks (LPWAN), which isconsidered as a major technology driver in 5G wireless technologies. Initially,we have compared a spectrum power of NB-IoT with W-Fi ac considering their own bandwidthand specificationsas per 3GPP and IEEE 802.11,respectively.As per analysis, we found many advantages of deploying NB-IoT in 5thgeneration wireless technology including ubiquitous coverage, low power consumption, less transmission power and better interference rejection. Considering thisfact of NB-IoT, we proposedand design a NB-IoT uplink systemusing NPUSCH, UL-SCH and UL-DMRS as per 3GPP 5G specificationsand performance analysis has been carried out


2019 ◽  
Vol 3 (1) ◽  
pp. 48-59
Author(s):  
Tingting Xia ◽  
Michael Mao Wang ◽  
Chengling Jiang ◽  
Jingjing Zhang ◽  
Lei Wang ◽  
...  

2019 ◽  
Vol 31 (3) ◽  
pp. 83-96
Author(s):  
Xin Chen ◽  
ZhiQiang Liu ◽  
Jianxiong Wan ◽  
Zhuo Li

Nowadays, the technology of internet of things is developing rapidly, and the application of machine type communication (MTC) is becoming more and more extensive. Meanwhile, the 3rd generation partnership project (3GPP) organization proposes a standard architecture for MTC in LTE-A networks. However, when a large number of MTC devices handover authentication at the same time, the use of 3GPP handover mechanisms takes up more signaling resources, which will cause signaling congestion and vulnerable attacks. To solve this problem, the researchers propose an aggregated handover authentication protocol for MTC in LTE-A networks. Compared with the current 3GPP standards, the scheme can not only avoid signaling congestion, but also support more security. Finally, the researchers use colored petri nets (CPN) to model and analyze the proposed protocol. Simulation results show that the protocol is secure and achievable.


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