Abstract
This paper addresses the problem of effective quality-of-service (QoS) provisioning in two-tier cognitive radio femtocell networks. The incorporation of primary user activity in the design of radio resource allocation technique is provided for this. Considering the spectrum environment as time-varying and that each femtocell network is able to use an adaptive strategy, the QoS provisioning provisioning guarantees are identified by finding the effective capacity of the femtocell and the femtouser. An integrated method based on fuzzy reinforcement learning algorithm is proposed to solve the formulated problem. It is confirmed by the simulation study that the effective solution of QoS provisioning in these networks is achieved.
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Martyna, J. (2015). Fuzzy Q-Learning Approach to QoS Provisioning in Two-Tier Cognitive Femtocell Networks . In: Ali, M., Kwon, Y., Lee, CH., Kim, J., Kim, Y. (eds) Current Approaches in Applied Artificial Intelligence. IEA/AIE 2015. Lecture Notes in Computer Science(), vol 9101. Springer, Cham. https://doi.org/10.1007/978-3-319-19066-2_8
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DOI: https://doi.org/10.1007/978-3-319-19066-2_8
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