Traffic modeling and characterization for UMTS networks

Klemm, Alexander; Lindemann, Christoph; Lohmann, Marco

doi:10.1109/glocom.2001.965876

Cited by 84 publications

(40 citation statements)

References 4 publications

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“…Further cellular traffic characterization was done by Klemm et al [8]. Their synthetic model is based on an IP traffic trace, and involves bandwidth scaling of traffic classes to the levels found in UMTS (3G) networks [16].…”

Section: Related Workmentioning

confidence: 99%

Characterizing and modeling user mobility in a cellular data network

Halepovic

Williamson

2005

Proceedings of the 2nd ACM International Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks

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The demand for cellular data networks is expected to increase with 3G and beyond technologies accompanied by highbandwidth consumer services, such as wireless video and camera phones. User mobility affects quality of service, and makes capacity planning more difficult. This paper presents an analysis of user mobility patterns based on data traffic traces from a major regional CDMA2000 cellular network. We find low overall mobility in the network, power-law characteristics in user mobility profiles, and weak correlations between call activity and mobility levels for individual users. We also find that users concentrate their activity in a "home cell" with frequent shorter trips to other locations in the network. Based on the empirical findings, we develop and parameterize a model of cellular data user mobility and show its practical use in simulation.

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Section: Related Workmentioning

confidence: 99%

Characterizing and modeling user mobility in a cellular data network

Halepovic

Williamson

2005

Proceedings of the 2nd ACM International Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks

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“…As a result, the simulator is a powerful and complex integrated simulation platform handling more than 700 parameters, and being composed of 44 Java classes. 2. for Web browsing traffic, the model implemented in the simulator is that of Choi and Limb [32];…”

Section: Eai Endorsed Transactions On Mobile Communications and Applimentioning

confidence: 99%

Hybrid Satellite - Wireless Sensor Networks Architecture for Telemedicine Applications in the Context of Emergency Satellite Communications in Ku/Ka/Q/V Bands

Kacimi¹,

Pech²

2014

ICST Trans Mobile Comm Appl

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Thanks to the facilities offered by telecommunications, telemedicine today allows physicians and clinicians to access, monitor and diagnose patients remotely. Telemedicine includes several applications such as remote monitoring of chronically ill patients, monitoring people in their everyday lives to provide early detection and intervention for various types of diseases, computer-assisted physical rehabilitation in ambulatory settings, and assisted living for the elderly at home, as well as remote monitoring of injured people in a postdisaster situation. These new applications require a reliable, wireless communication link between the devices implanted in the patient's skin and a clinician. In this article, this issue is discussed and a list of performance criteria for the different communication links used are addressed, especially focusing on the satellite link. Then an adaptive air interface which is designed to meet the performance constraints of bidirectional satellite communication links in an emergency situation in Ku/Ka/Q/V bands where when strong channel impairments occur is described and analysed.

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“…Therefore, the models are closer to an actual third generation services scenario but do not provide a forecast of the tremendous increase of traffic that could be generated by the deployment of multimedia applications such as video on demand. In addition, statistical models at both the packet and session level can be found in [9], [10], [11] and [12]. In such cases source traffic can be…”

Section: Introductionmentioning

confidence: 99%

Stochastic user behaviour modelling and network simulation for resource management in cooperation with mobile telecommunications and broadcast networks

Centonza

Taylor

Itagaki

et al. 2006

IJMC

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Abstract:The latest generations of telecommunications networks have been designed to deliver higher data rates than widely used second generation telecommunications networks, providing flexible communication capabilities that can deliver high quality video images. However, these new generations of telecommunications networks are interference limited, impairing their performance in cases of heavy traffic and high usage. This limits the services offered by a telecommunications network operator to those that the operator is confident their network can meet the demand for. One way to lift this constraint would be for the mobile telecommunications network operator to obtain the cooperation of a broadcast network operator so that during periods when the demand for the service is too high for the telecommunications network to meet, the service can be transferred to the broadcast network. In the United Kingdom the most recent telecommunications networks on the market are third generation UMTS networks while the terrestrial digital broadcast networks are DVB-T networks. This paper proposes a way for UMTS network operators to forecast the traffic associated with high demand services intended to be deployed on the UMTS network and when demand requires to transfer it to a cooperating DVB-T network. The paper aims to justify to UMTS network operators the use of a DVB-T network as a support for a UMTS network by clearly showing how using a DVB-T network to support it can increase the revenue generated by their network.

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Traffic modeling and characterization for UMTS networks

Cited by 84 publications

References 4 publications

Characterizing and modeling user mobility in a cellular data network

Characterizing and modeling user mobility in a cellular data network

Hybrid Satellite - Wireless Sensor Networks Architecture for Telemedicine Applications in the Context of Emergency Satellite Communications in Ku/Ka/Q/V Bands

Stochastic user behaviour modelling and network simulation for resource management in cooperation with mobile telecommunications and broadcast networks

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