Abstract
In this paper the problem of optimal cell selection and power control in the uplink of multi-service open access two-tier femtocell networks is addressed via a game theoretic approach. Each user is associated with a properly defined QoS-aware utility function, which depends on the two tier architecture and the class of requested service, i.e. real or non-real time service. An optimal cell selection game is formulated and is proven to be a potential game. Its solution constitutes a feasible pure strategy Nash equilibrium (NE), which guarantees that the users select the most appropriate cell to connect in order to maximize their QoS-aware performance. Subsequently, an optimal power allocation is adopted, towards achieving an energy efficient resource allocation, given users’ assignment to the cells. A learning algorithm is proposed towards determining the cell selection game’s NE, combined with the power allocation mechanism. The effectiveness of the proposed approach is evaluated through modeling and simulation.
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Tsiropoulou, E.E., Katsinis, G.K., Filios, A., Papavassiliou, S. (2014). On the Problem of Optimal Cell Selection and Uplink Power Control in Open Access Multi-service Two-Tier Femtocell Networks. In: Guo, S., Lloret, J., Manzoni, P., Ruehrup, S. (eds) Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2014. Lecture Notes in Computer Science, vol 8487. Springer, Cham. https://doi.org/10.1007/978-3-319-07425-2_9
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DOI: https://doi.org/10.1007/978-3-319-07425-2_9
Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-07425-2
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