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User QoE Influenced Spectrum Trade, Resource Allocation, and Network Selection

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Abstract

In future wireless networks, we envision more dynamic telecommunication paradigm, where the dynamics may be translated into dynamic service offerings and user profiles etc. We further expect that the wireless communication market will be influenced when the user-centric network selection vision is realized. By the user-centric network selection vision, we mean that users will be free to select any available network operator or service provider on short term contractual basis. This dictates that operators will compete for their share of a common user pool on much smaller time quanta when compared with the current long term user contacts with the operators. One intuitive strategy of operators will be to incentivize users by offering different QoS and service price offers. As the operators’ offers are influenced by their incurring costs. This necessitates to study the market behavior at different levels and investigate the operator and user behavior at these level. In this paper, we categorize and position the communication players and model the interaction between players at different levels. We introduce the learning aspects in the interaction and investigate the equilibrium strategies of involved stake-holders i.e., users and operators. We also model the utility functions of all the involved stake-holders. We also examine the risk-sensitive utility functions in order to cover both risk-seeking and risk-averse in the user QoEs. We implement the user-centric approach and compare it against our proposed network-centric resource utilization and call blocking.

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Notes

  1. Network infrastructure and air-time, the spectrum resource may include CDMA, GSM, LTE, UMTS, HSDPA etc.

  2. In tradition spectrum management, the spectrum chunks are allocated to a specific radio access technology on long-term basis.

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Correspondence to Manzoor Ahmed Khan.

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Khan, M.A., Tembine, H., Sivrikaya, F. et al. User QoE Influenced Spectrum Trade, Resource Allocation, and Network Selection. Int J Wireless Inf Networks 18, 193–209 (2011). https://doi.org/10.1007/s10776-011-0164-y

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