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A large diversity of services based on packet switching in the third generation (3G) wireless system leads to dramatic changes in the characteristics and parameters of the data traffic. It is expected that the traffic in the 3G systems undergo both quantitative and qualitative changes. In particular, there is a considerable increase of a rate of transactions and an amount of information transferred during the transactions. Besides, it is necessary to take into account the notion of self-similarity that take place in the 3G systems due to the high variability of burstiness of the multiservice traffic. For these reasons, the prediction problem of data traffic characteristics becomes more complex when planning the 3G wireless systems. In this paper the estimation method for the main parameters of the data traffic in the 3G mobile networks taking into account the above-mentioned 3G features is considered. It is based on a probabilistic model of events initiated by calls of 3G services. It is proposed to make both a decomposition of 3G services into some subsets in accordance with an average amount of transferred data during transactions and a distribution of 3G prospective users into some subgroups in accordance with the Pareto law.