Analysis of traffic model and self-similarity for QQ in 3G mobile networks

2011 ◽  
Author(s):  
He Lu ◽  
Cuibo Vu ◽  
Xuerong Gou
Keyword(s):  
Mobile Networks ◽  
Traffic Model ◽  
Self Similarity

Detecting Abnormal Behavior of an IoT Device in the Network Based on a Traffic Model

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Mobile Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Abnormal Behavior ◽  
Traffic Model ◽  
The Internet ◽  
Wide Spread ◽  
The Internet Of Things

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

Flow-level traffic model for adaptive streaming services in mobile networks

2018 ◽  
Vol 137 ◽  
pp. 1-16 ◽  
Author(s):  
Yu-Ting Lin ◽  
Thomas Bonald ◽  
Salah Eddine Elayoubi
Keyword(s):  
Mobile Networks ◽  
Traffic Model ◽  
Adaptive Streaming ◽  
Streaming Services

Optimization of self-similar traffic of the infocommunication system

2021 ◽  
pp. 67-76
Author(s):  
Т.С. Аббасова ◽  
А.А. Ганюшин ◽  
Ю.Н. Ганюшина
Keyword(s):  
Simulation Modeling ◽  
Critical Section ◽  
Traffic Model ◽  
System Throughput ◽  
Self Similarity ◽  
Self Similar ◽  
Proportional Distribution

Проанализированы характеристики трафика беспроводной инфокоммуникационной системы, доказано его самоподобие. Описана система имитационного моделирования исследуемого трафика. Разработаны способы совершенствования метода пропорционального распределения пропускной способности системы на основе ON/OFF-модели трафика. Усовершенствована и расширена ON/OFF-модель трафика. Предложен метод перераспределения пропускной способности на основе расширенной ON/OFF-модели трафика на входе в критический участок беспроводной инфокоммуникационной системы. The characteristics of the traffic of the wireless infocommunication system are analyzed, and its self-similarity is proved. The system of simulation modeling of the investigated traffic is described. Methods for improving the method of proportional distribution of the system throughput based on the ON / OFF traffic model have been developed. The ON / OFF traffic model has been improved and expanded. A method of bandwidth redistribution based on an extended ON / OFF traffic model at the entrance to a critical section of a wireless infocommunication system is proposed.

Model for Wireless Base Station Goodput Evaluation in Vehicular Communication Systems

1970 ◽  
Vol 111 (5) ◽  
pp. 19-22
Author(s):  
A. Ipatovs ◽  
E. Petersons ◽  
J. Jansons
Keyword(s):  
Wireless Network ◽  
Mobile Networks ◽  
Communication Systems ◽  
Access Point ◽  
Base Station ◽  
Traffic Model ◽  
Vehicle Speed ◽  
Vehicular Communication ◽  
Point Model ◽  
Wireless Mobile

In this paper we present the model of wireless base station goodput evaluation. There was used access point model as queuing system with different kind of requests and cycling auto traffic model. Wireless mobile networks have different parameters, such as client stations distance to access point, number of clients in wireless network range, vehicle speed and traffic type. These parameters were analyzed and presented in this paper. Ill. 5, bibl. 17 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.111.5.348

scholarly journals Estimation of Spectrum Requirements for Mobile Networks With Self-Similar Traffic, Handover, and Frequency Reuse

2010 ◽  
Vol 6 (4) ◽  
pp. 281-291
Author(s):  
Won Seok Yang ◽  
Eun Saem Yang ◽  
Hwa J. Kim ◽  
Dae K. Kim
Keyword(s):  
Mobile Networks ◽  
Probability Distributions ◽  
Frequency Reuse ◽  
Estimation Methods ◽  
Data Traffic ◽  
Load Spectrum ◽  
Self Similarity ◽  
Average Cell ◽  
Self Similar ◽  
The Impact

This paper considers self-similarity in data traffic, handover, and frequency reuse to estimate the spectrum requirements of mobile networks. An approximate average cell capacity subject to a delay requirement and self-similar traffic is presented. It is shown that handover traffic can be an additional load. Spectrum requirements are calculated based on carrier demand instead of spectral efficiency, as at least one carrier is necessary to transmit even 1 bit. The cell-split operation is considered under frequency reuse of one. Estimation methods are presented using cell traffic in two cases. First, a procedure is presented that estimates cell traffic from previous networks. Second, cell traffic is assumed to follow probability distributions. Numerical examples demonstrate the impact of self-similarity, handover, and the proportion of cell-split occurrences on the spectrum requirements.

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