scholarly journals Massive Machine-to-Machine Communications in Cellular Network: Distributed Queueing Random Access Meets MIMO

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 2981-2993 ◽  
Author(s):  
Jiantao Yuan ◽  
Hangguan Shan ◽  
Aiping Huang ◽  
Tony Q. S. Quek ◽  
Yu-Dong Yao
Keyword(s):  
Cellular Network ◽  
Random Access ◽  
Machine To Machine ◽  
Distributed Queueing

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. 

scholarly journals Congestion-Aware Signaling Aggregation and Barring Scheme for LTE Based Machine-to-Machine Network

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Fangmin Xu ◽  
Chao Qiu ◽  
Pengbiao Wang ◽  
Xiaokai Liu
Keyword(s):  
Theoretical Analysis ◽  
Communication Technology ◽  
Cellular Network ◽  
Access Network ◽  
Wireless Access ◽  
System Efficiency ◽  
M2m Communication ◽  
Machine To Machine ◽  
Core Networks ◽  
Congestion Aware

With the recently progress of Machine-to-Machine (M2M) communication technology, especially the enormous M2M devices and unique service of M2M, some challenges are emerging to the traditional wireless access and core networks, especially the congestion problem due to simultaneously bursty M2M service. Following this paradigm, the purpose of this paper is to support and optimize the signaling aggregation and barring of M2M services based on cellular network. With LTE network being the example access network, a congestion-aware signaling aggregation and barring scheme is designed considering the various requirements of M2M services and the congestion situation in the network entity. Theoretical analysis and experimental simulations show that this scheme can improve the system efficiency and greatly alleviate the signaling congestion, especially for the bursty M2M service.

Distributed Queueing-Based Random Access Protocol for LoRa Networks

2020 ◽  
Vol 7 (1) ◽  
pp. 763-772 ◽  
Author(s):  
Wei Wu ◽  
Yan Li ◽  
Yanhe Zhang ◽  
Bin Wang ◽  
Wennai Wang
Keyword(s):  
Random Access ◽  
Access Protocol ◽  
Random Access Protocol ◽  
Distributed Queueing

A Novel Random Access for Fixed-Location Machine-to-Machine Communications in OFDMA Based Systems

2012 ◽  
Vol 16 (9) ◽  
pp. 1428-1431 ◽  
Author(s):  
Kab Seok Ko ◽  
Min Jeong Kim ◽  
Kuk Yeol Bae ◽  
Dan Keun Sung ◽  
Jae Heung Kim ◽  
...  
Keyword(s):  
Random Access ◽  
Machine To Machine
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