A New Scheme of Group-based AKA for Machine Type Communication over LTE Networks

Machine Type Communication (MTC) is considered as one of the most important approaches to the future of mobile communication has attracted more and more attention. To reach the safety of MTC, applications in networks must meet the low power consumption requirements of devices and mass transmission device. When a large number of MTC devices get connected to the network, each MTC device must implement an independent access authentication process according to the 3GPP standard, which will cause serious traffic congestion in the Long Term Evolution (LTE) network. In this article, we propose a new group access authentication scheme, by which a huge number of MTC devices can be simultaneously authenticated by the network and establish an independent session key with the network respectively. Experimental results show that the proposed scheme can achieve robust security and avoid signaling overload on LTE networks

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Synchronization method for long-term evolution-based machine-type communication in low-power cellular Internet of Things

International Journal of Distributed Sensor Networks ◽

10.1177/1550147716662774 ◽

2016 ◽

Vol 12 (8) ◽

pp. 155014771666277 ◽

Cited By ~ 4

Author(s):

Rothna Pec ◽

Joo-Hyung Choi ◽

Chang-Hwan Park ◽

Yong Soo Cho

Keyword(s):

Internet Of Things ◽

Low Power ◽

Long Term Evolution ◽

Machine Type ◽

Synchronization Method ◽

Term Evolution ◽

Machine Type Communication

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New Courteous Algorithm for Uplink Scheduling in LTE-Advanced and 5G Networks

Journal of Computer Networks and Communications ◽

10.1155/2020/4189789 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15

Author(s):

Chafika Tata ◽

Nassima Fellag ◽

Michel Kadoch

Keyword(s):

Long Term Evolution ◽

Time Interval ◽

5G Networks ◽

Lte Networks ◽

Uplink Scheduling ◽

Term Evolution ◽

Radio Access ◽

Management Scheme ◽

Wireless Users

The fast evolution of the number of wireless users and the emergence of new multimedia services have motivated third-generation partnership project (3GPP) to develop new radio access technologies. Thus, the carrier aggregation (CA) was introduced from version 10 long-term evolution (LTE), known as long-term evolution-advanced (LTE-A), to meet the increasing demands in terms of throughput and bandwidth and to ensure the Quality of Service (QoS) for different classes of bearers in LTE networks. However, such solution stills inefficient until implementing good resources management scheme. Several scheduling mechanisms have been proposed in the literature, to guarantee the QoS of different classes of bearers in LTE-A and 5G networks. Nevertheless, most of them promote high-priority bearers. In this study, a new approach of uplink scheduling resources has been developed. It aims to ensure service fairness of different traffic classes that allocates bearers over LTE-A and 5G networks. Also, it raises the number of admitted users in the network by increasing the number of admitted bearers through a dynamic management of service priorities. In fact, the low-priority traffic classes, using low-priority bearers, are favoured during a specific time interval, based on the average waiting time for each class. Simulation results show that the QoS parameters were much improved for the low-priority classes without significantly affecting the QoS of high priority ones.

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