Modeling Web Browsing on Mobile Internet

Zhao, Gou-Feng; Qing, Shan; Xiao, Shasha; Xu, Chuan

doi:10.1109/lcomm.2011.082011.111368

Cited by 23 publications

(9 citation statements)

References 3 publications

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“…Therefore, we ascertain that the results of the analytical model precisely coincide with the obtained simulation results. Many empirical studies have found that the log-normal distribution is a more realistic model for service times of both real-time and elastic traffic [21]- [23]. However, in our analysis, for the sake of mathematical tractability we have assumed that service times are exponentially distributed.…”

Section: A Model Validationmentioning

confidence: 99%

Channel Assembling with Priority-Based Queues in Cognitive Radio Networks: Strategies and Performance Evaluation

Balapuwaduge

Jiao

Pla

et al. 2014

IEEE Trans. Wireless Commun.

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Abstract-With the implementation of channel assembling (CA) techniques, higher data rate can be achieved for secondary users in multi-channel cognitive radio networks. Recent studies which are based on loss systems show that maximal capacity can be achieved using dynamic CA strategies. However the channel allocation schemes suffer from high blocking and forced termination when primary users become active. In this paper, we propose to introduce queues for secondary users so that those flows that would otherwise be blocked or forcibly terminated could be buffered and possibly served later. More specifically, in a multi-channel network with heterogeneous traffic, two queues are separately allocated to real-time and elastic users and channel access opportunities are distributed between these two queues in a way that real-time services receive higher priority. Two queuing schemes are introduced based on the delay tolerance of interrupted elastic services. Furthermore, continuous time Markov chain models are developed to evaluate the performance of the proposed CA strategy with queues, and the correctness as well as the preciseness of the derived theoretical models are verified through extensive simulations. Numerical results demonstrate that the integration of queues can further increase the capacity of the secondary network and spectrum utilization while decreasing blocking probability and forced termination probability.

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Section: A Model Validationmentioning

confidence: 99%

Channel Assembling with Priority-Based Queues in Cognitive Radio Networks: Strategies and Performance Evaluation

Balapuwaduge

Jiao

Pla

et al. 2014

IEEE Trans. Wireless Commun.

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“…To model the residence time in the three regions more realistically, the lognormal distribution is chosen [27]. The duration of an idle period and the size of a flow are also considered to be lognormally distributed [28], [29]. For the lognormal distributions of the residence time, flow idle period and flow size, their means coincide with the means of the corresponding exponential distributions used in the analytical model.…”

Section: B Validation Of the Analytical Modelmentioning

confidence: 99%

Performance Analysis of Two-Tier Wireless Networks With Dynamic Traffic, Backhaul Constraints, and Terminal Mobility

Bernal-Mor

Pla

Martínez-Bauset

et al. 2016

IEEE Trans. Veh. Technol.

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Bernal Mor, E.; Pla, V.; Martínez Bauset, J.; Luis Guijarro (2016) Abstract-During the last years, mobile cellular networks have witnessed an enormous growth in the carried data-traffic volume. The current networks' features are not enough to cope with this traffic trend and the concept of small cells has emerged as a feasible solution to increase the network capacity. However, the deployment of small cells introduces several technical challenges such as the cross-tier interference between the macrocell and the small cells, or the use of the subscriber land-line to send the backhaul data. In this paper, an analytical model is proposed to study the impact that the user traffic dynamics, the mobility of macrocell users, the scheme chosen to associate macrocell users to the small cells and the changing available capacity of the small cells backhaul have on the system performance. To make the solution of the model computationally feasible, we exploit the time-scale decomposition approach. In most practical scenarios, the arrival and departure rates of traffic flows are much larger than the rate of events associated with the mobility of macrocell users. Then, flows perceive that macrocell users are still. This model is applied to identify the scheme to associate macrocell users to the small cells which maximizes the performance perceived by the small cell users.

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“…However, for a Session of consecutive visits to web pages with an associated dwell time, a more appropriate Session size metric is time, as a measure of user engagement. The duration of such Sessions in WAP browsing was measured in [12], and was found to follow a Weibull distribution.…”

Section: A Web Trafficmentioning

confidence: 99%

Mobile network traffic: A user behaviour model

Tsompanidis

Zahran

Sreenan

2014

2014 7th IFIP Wireless and Mobile Networking Conference (WMNC)

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Abstract-What would the same users do in a different network? The performance of the network has a significant effect on the traffic profiles of users, which cannot be easily identified from network traces. This work combines a number of studies to compile a new responsive traffic model for mobile networks that realistically mimics user behaviour. Users continuously evaluate the performance of the network, and initiate or terminate their sessions accordingly. The presented model utilises Markov chains to capture this behaviour, while the performance of a session is depicted with the binary distinction of good and bad quality. We analyse and showcase the implications of this model, and discuss its benefits on network planning and research applications.

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Modeling Web Browsing on Mobile Internet

Cited by 23 publications

References 3 publications

Channel Assembling with Priority-Based Queues in Cognitive Radio Networks: Strategies and Performance Evaluation

Channel Assembling with Priority-Based Queues in Cognitive Radio Networks: Strategies and Performance Evaluation

Performance Analysis of Two-Tier Wireless Networks With Dynamic Traffic, Backhaul Constraints, and Terminal Mobility

Mobile network traffic: A user behaviour model

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