Proceedings ArticleDOI
Traffic characterization for mobile networks
H. Khedher,Fabrice Valois,S. Tabbane +2 more
- Vol. 3, pp 1485-1489
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TLDR
The aim of this paper is to review traffic engineering issues and to develop analysis techniques to extract the relevant parameters from measurements realized on an operating GSM network.Abstract:
The core task of cellular system planning is to design an optimal radio network which provides the largest amount of traffic for a given number of channels at a specified level of quality of service. During this process, these objectives are achieved by an accurate traffic characterization and a precise analysis of mobile users' behavior in terms of mobility and traffic. The aim of this paper is to review traffic engineering issues and to develop analysis techniques to extract the relevant parameters from measurements realized on an operating GSM network. The results can be used to model the traffic in cellular networks and apply it in the planning process.read more
Citations
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Traffic forecasting for mobile networks with multiplicative seasonal ARIMA models
TL;DR: Experiments and test results show that the whole solution presented in this paper is feasible and effective to fulfill the requirements in traffic forecasting application for mobile networks.
Traffic Analysis and Optimization of GSM Network
TL;DR: This paper has summarized the measurements taken on an operative GSM-900 & G SM-1800 network to evaluate and optimize traffic and established statistically the following facts.
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Accurate Method to Estimate EM Radiation from a GSM Base Station
TL;DR: An accurate method for predicting electromagnetic radiation from GSM base stations is proposed, based on the Poisson distribution of GSM-transmitted signals to calculate GSM transmitted power at difierent time periods, which is more accurate than implementing only maximum power calculation.
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Real mechanisms for mobile networks modeling and engineering
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Energy savings in 3G using dynamic spectrum access and base station sleep modes
TL;DR: This paper targets the reduction of the energy consumption at a Base Station (BS) level through the adoption of sleep modes during the off-peak periods of the day and relying in the existence of co-located and overlaid frequency bands to provide the coverage and capacity backup for the switched-off cells.
References
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The Art of Computer Systems Performance Analysis.
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