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On improving the group paging method for machine-type-communications

2014 IEEE International Conference on Communications (ICC), 2014
Machine-type-Communication (MTC) is seen as a major service in next generation cellular mobile networks. However, the forecasted very large number of MTC devices may overload the RAN (Radio Access Network) part of the network, which may impact Non-MTC communications.
Arouk, Osama   +3 more
openaire   +2 more sources

Model for analysis of Machine-Type Communications

2014 XIV International Symposium on Problems of Redundancy in Information and Control Systems, 2014
In this paper we propose a new model of random multiple access for Machine-Type Communication which is based on last generation wireless networks. The proposed model takes into account that preamble detection probability decreases with growth of transmitting devices number due to SINR degradation even if they are transmitting in orthogonal channels ...
Maxim Grankin, Marcin Rybakowski
openaire   +1 more source

Series Editorial: IoT and Machine-Type Communication

IEEE Communications Standards Magazine, 2022
Roland Hechwartner   +3 more
openaire   +1 more source

Quality-of-Decision-Driven Machine-Type Communication

IEEE Internet of Things Journal, 2022
Lindong Zhao   +2 more
openaire   +1 more source

A Survey of Collaborative Machine Learning Using 5G Vehicular Communications

IEEE Communications Surveys and Tutorials, 2022
Salvador V Balkus   +2 more
exaly  

Random Access for Machine-Type Communications

2019
The success of 5G wireless networks (5G) substantially relies on efficiently embracing machine-type communications (MTC), intended to support autonomous exchange of data between devices. Typical MTC applications include smart metering, e-health care, environmental and structural monitoring, and asset tracking.
Leyva-Mayorga, Israel   +4 more
openaire   +1 more source

Machine-type communications

2016
Joachim Sachs   +4 more
openaire   +1 more source

Machine-Type Communication

2019
Chia-Peng Lee, Phone Lin
openaire   +1 more source

Blockchain and Machine Learning for Communications and Networking Systems

IEEE Communications Surveys and Tutorials, 2020
Yiming Liu, F Richard Yu, Xi Li
exaly  

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