scholarly journals Non-Orthogonal Random Access and Data Transmission Scheme for Machine-to-Machine Communications in Cellular Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 27687-27704 ◽  
Author(s):  
Yali Wu ◽  
Ningbo Zhang ◽  
Kaixuan Rong
Keyword(s):  
Cellular Networks ◽  
Data Transmission ◽  
Random Access ◽  
Transmission Scheme ◽  
Machine To Machine

Random Access and Virtual Resource Allocation in Software-Defined Cellular Networks With Machine-to-Machine Communications

2017 ◽  
Vol 66 (7) ◽  
pp. 6399-6414 ◽  
Author(s):  
Meng Li ◽  
F. Richard Yu ◽  
Pengbo Si ◽  
Enchang Sun ◽  
Yanhua Zhang ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Cellular Networks ◽  
Random Access ◽  
Machine To Machine

Group-Based Random Access and Data Transmission Scheme for Massive MTC Networks

2021 ◽  
pp. 1-1
Author(s):  
Tao Wang ◽  
Yichen Wang ◽  
Chunfeng Wang ◽  
Zihuan Yang ◽  
Julian Cheng
Keyword(s):  
Data Transmission ◽  
Random Access ◽  
Transmission Scheme

On Multiple Access of a Large Number of Machine-Type Devices in Cellular Networks

2018 ◽  
pp. 105-114
Author(s):  
O. S. Galinina ◽  
S. D. Andreev ◽  
A. M. Tyurlikov
Keyword(s):  
Success Probability ◽  
Random Access ◽  
Time Interval ◽  
Short Time Interval ◽  
Control Mechanisms ◽  
Network Access ◽  
Smart Meters ◽  
Machine To Machine ◽  
Machine To Machine Communication ◽  
Machine Communication

Introduction: Machine-to-machine communication assumes data transmission from various wireless devices and attracts attention of cellular operators. In this regard, it is crucial to recognize and control overload situations when a large number of such devices access the network over a short time interval.Purpose:Analysis of the radio network overload at the initial network entry stage in a machine-to-machine communication system.Results: A system is considered that features multiple smart meters, which may report alarms and autonomously collect energy consumption information. An analytical approach is proposed to study the operation of a large number of devices in such a system as well as model the settings of the random-access protocol in a cellular network and overload control mechanisms with respect to the access success probability, network access latency, and device power consumption. A comparison between the obtained analytical results and simulation data is also offered. 

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