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Special Issue of the Telecommunication Systems (TS) Journal. 01/2011; 48.
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ABSTRACT: Traffic characterization is an important means for Internet Service Providers (ISPs) to adapt and to optimize their networks to the requirements of the customers. Most network measurements are performed in the backbone of these ISPs, showing both, residential and business Internet traffic. However, the traffic characteristics of business and home users differ significantly. Therefore, we have performed measurements of home users at a broadband wireless access service provider in order to reflect only home user traffic characteristics. In this paper, we present the results of these measurements, showing daily traffic fluctuations, flow statistics as well as application distributions. The results show a difference to backbone traffic characteristics. Furthermore, we observed a shift from web and Peer-to-Peer (P2P) file sharing traffic to streaming applications.
Special Issue of the Telecommunication Systems (TS) Journal. 01/2010; 48: 1-2.
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ABSTRACT: The increasing broadband wireless Internet usage and the limited wireless resources require a careful network management and optimization of the wireless Internet Service Providers (ISPs). Unfortunately, those providers often just have statistics about the overall usage and limited knowledge about the detailed application distribution as well as the traffic characteristics. In this paper we present user and traffic characteristics measured at a broadband wireless Internet access. The results show that the applications change quickly but the general characteristics like packet size and TCP/UDP percentage have not changed during the last years.
IEEE VTC Spring 09; 05/2009
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European Wireless 2006, Athen, Greece; 01/2006
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OPNETWORK 2005, Washington D.C., USA; 01/2005
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01/2004;
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5th World Wireless Congress (WWC 04), San Francisco; 01/2004
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01/2004;
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ABSTRACT: Abstract - Soft handover is one of the key features in UMTS networks. For a sophisticated network planning it is necessary to understand the influence of soft handover on the capacity and coverage of UMTS systems which is expressed by the soft handover gain. In this paper we derive a method for computing interference distributions for UMTS networks with and without soft handover. Thus, we are able to show the benefit of soft handover resulting in an increased coverage area. Furthermore, the soft handover gain is characterized for both homogeneous and inhomogeneous UMTS networks with hexagonal as well as with irregular BS layouts. In particular, it is shown that the soft handover gain is increasing with the degree of inhomogeneity of the traffic intensity.
01/2003;
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ABSTRACT: In cellular Wideband Code Division Multiple Access (WCDMA) networks, interference on the uplink is the limiting factor for the number of users that can be served in a single cell. Thus, interference reduction mechanisms are of significant importance. Soft handover, which is primarily a mechanism for seamless handovers (make before break), also reduces the interference within the cells by exploiting multiple simultaneous connections to lower the transmit power of the mobile stations (see [1], [2]). In this article we present an analytical model for soft handover where multiple connections between a mobile station and the base stations within reach are taken into account. An approximation of the frame error rate based on the received signal strength in the uplink is provided for 12.2 kbps service. In addition the approach taken to calculate the soft handover gain is described and results are presented.
01/2003;
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ABSTRACT: In this paper we present an analytical model for computing the othercell interference distribution in a third generation UMTS network. Our proposed model is based on an iterative calculation of a fixed point equation which describes the interdependency of the interference levels at neighboring base stations. Furthermore, we developed an efficient algorithm based on Lognormal approximations to compute the mean and standard deviation of the othercell interference. We will show that our model is accurate and fast enough to be used in UMTS network planning tools, e.g. T-Mobile's Pegasos.
01/2003;
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Traffic Monitoring and Analysis (TMA) workshop co-located with the 13th Passive and Active Measurement (PAM) conference;
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ABSTRACT: The discussion about integrating the Wireless LAN standard into future mobile networks of the 4th Generation (4G) does not only strengthen the importance of the IEEE 802.11 standard family, but necessitates the support of Quality-of-Service (QoS) even when the user moves between different Access Points. In this paper, we study different Wireless LAN handover mechanisms and their ability to support QoS traf�c. Therefore, we implemented the handover mechanisms and additional proposals in a simulation environment and analyzed their ability to support a specific QoS level.
Australian Telecommunications, Networks and Applications Conference ATNAC 2004;
