PRICING SCHEME FOR TARIFF PACKAGES FOR MOBILE OPERATORS IN COMPETITIVE CONDITIONS
Abstract
Nowadays, user behavior itself is a complex system in the digital age. In order to develop commercial and marketing activities, Internet service providers must understand consumer preferences and interests [1-4]. In economics there is also the problem of finding a solution to this problem. Marketing of telecommunication services has been studied in various studies that belong to the economic literature on the telecommunication sector [5-6]. In fact, free streaming packages are largely negotiated between ISPs and mobile operators without taking into account the actual needs of users. According to research, there are similarities between people's online behavior. Models of online user behavior are used to design traffic packet patterns based on their general properties [7, 8]. World experience has shown that it is advisable to use artificial intelligence technologies when solving even economic problems. Therefore, in this article, when developing a pricing scheme, we propose the use of a machine learning algorithm to obtain more accurate quantitative economic calculations. The main task in this case is to determine the types of traffic plans that have a positive impact on the profits of telecom operators and social welfare. The optimal solution is obtained by the inverse solution method, and different traffic plans are evaluated from a pricing perspective. To develop a free streaming package, this study uses this commonality as a model of online user behavior. The Softmax algorithm is used to calculate the price, which helps compensate for the shortcomings of the economic model.
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Juanjuan Wang, Jun Zeng, Hao Wen, Zhiyi Hu, “Designing mobile operator's tariff package pricing scheme based on user's internet behavior,” Computer Communications, Volume 211, 2023, Pages 93-103, ISSN 0140-3664, https: //doi.org/10.1016/j.comcom.2023.07.025.
