Resource Reservation for Self-Similar Data Traffic in Cellular/WLAN Integrated Mobile Hotspots
ABSTRACT As two most popular wireless networks, the third generation (3G) cellular networks and wireless local area networks (WLANs) can be integrated to enhance service provisioning. However, most of the previous studies on cellular/WLAN interworking focus on WLANs in a static indoor environment such as offices, hotels, and cafes. Actually, the two heterogeneous technologies can be integrated to support mobile hotspots, which are usually in and around a moving vehicle, such as a bus, a railway train, and even a flight cabin. Different from traditional single-hop wireless networks, the mobile hotspot can adopt a two-hop relay for wireless access. In this paper, we analyze the delay performance for such a cellular/WLAN integrated mobile hotspot. In particular, we take into account the heavy-tailedness of data file size and self-similarity of aggregate traffic. Based on the analysis, we can determine the cellular channel bandwidth to be reserved for aggregate handoff traffic of the mobile hotspot.
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Conference Proceeding: QoS Analysis of Queuing Systems with Self-Similar Traffic and Heavy-Tailed Packet Sizes[show abstract] [hide abstract]
ABSTRACT: Many measurement studies have shown that telecommunication traffic usually exhibits self-similar nature and the service times of packets often follow heavy-tailed distributions. However, due to the high complexity of modelling the fractal self-similar properties and heavy-tailed distributions, most existing studies on analytical modelling of queuing systems have been confined to investigate the effects of either traffic self-similarity or heavy-tailed service times only. To fill this gap, in this paper we develop a new analytical model for a single server queuing system in the presence of self-similar inputs and heavy-tailed service time distributions. Specifically, we derive the closed-form expressions for three important quality-of-service (QoS) metrics, namely, the tail distributions of queue length, packet loss, and packet delay of the queuing systems where traffic arrivals follow the fractional Brownian motion (fBm) model and the packet sizes have lognormal or Pareto distributions. We validate the accuracy of the developed model through comparing analytical results to those obtained from experimental simulations.Communications, 2008. ICC '08. IEEE International Conference on; 06/2008
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ABSTRACT: In this research statistic analyses of Web traffic were carried out based on Empirical Distribution Function (EDF) test. Several probability distributions, such as Pareto (simple), extreme value, Weibull (three parameters), exponential, logistic, Pareto (generalized) have been chosen to fit the experimental traffic data (traces) which show an analytical indication of traffic behaviour. The issues of traffic characterisation and performance shown by these models have been discussed in terms of heavy tailedness and fitness of the curves. The aim of this research is to find a suitable analytical method which can characterise the Web traffic.
- IEEE Wireless Communications 05/2004; 11(2):24- 30. · 3.74 Impact Factor