Abstract
This paper studies the resource allocation in a femtocell network, which aims to maximize the user-perceived Quality of Experience (QoE). By introducing a QoE-based assessment model, the problem is formulated as a combinational optimization problem, which is non-concave and difficult to develop a final solution. A heuristic PRB (Physical Resource Block) allocation algorithm and an adaptive power allocation algorithm are proposed for the final solution, in which a priority mechanism is employed for the network to give a higher priority on its resources to subscribers than the public users. Simulation results show that the proposed algorithms can improve the overall perceived quality from the user’s perspective in compassion with the traditional Quality of Service (QoS) oriented algorithm.
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References
Chandrasekhar, V., Andrews, J.G., Gatherer, A.: Femtocell networks: a survey. IEEE Commun. Mag. 46(9), 59–67 (2008)
Andrews, J.G., Claussen, H., Dohler, M., et al.: Femtocells: past, present, and future. IEEE J. Sel. Areas Commun. 30(3), 497–508 (2012)
Wang, X., Giannakis, G.B.: Resource Allocation for Wireless Multiuser OFDM Networks. IEEE Transactions on Information Theory 57(7), 4359–4372 (2011)
Sadr, S., Anpalagan, A., Raahemifar, K.: Radio Resource Allocation Algorithms for the Downlink of Multiuser OFDM Communication. IEEE Communications Surveys & Tutorials 11(3), 92–106 (2009)
Laghari, K.U.R., Connelly, K.: Toward total quality of experience: A QoE model in a communication ecosystem. IEEE Communications Magazine 50(4), 58–65 (2012)
Ahmed, A., Boulahia, L., Gaïti, D.: Enabling vertical handover decisions in heterogeneous wireless networks: A state-of-the-art and a classification. IEEE Communications Surveys & Tutorials 16(2), 776–811 (2014)
Khan, A., Sun, L., Jammeh, E., Ifeachor, E.: Quality of experience driven adaptation scheme for video applications over wireless networks. IET Commun. 4(11), 1337–1347 (2010)
Essaili, A., Steinbach, E., Munaretto, D., Thakolsri, S., Kellerer, W.: QoE-driven resource optimization for user generated video content in next generation mobile networks. In: Proc. 2011 IEEE ICIP (2011)
Khan, A., Sun, L., Ifeachor, E.: QoE prediction model and its application in video quality adaptation over UMTS networks. IEEE Trans. Multimedia 14(2), 431–442 (2012)
Thakolsri, S., Cokbulan, S., Jurca, D., Despotovic, Z., Kellerer, W.: QoE-driven cross-layer optimization in wireless networks addressing system efficiency and utility fairness. In: Proc. 2011 IEEE Globecom (2011)
Thakolsri, S., Khan, S., Steinbach, E., Kellerer, W.: QoE-driven cross-layer optimization for high speed downlink packet access. J. Commun. 4(9), 669–680 (2009)
Thakolsri, S., Kellerer, W., Steinbach, E.: QoE-based cross-layer optimization of wireless video with unperceivable temporal video quality fluctuation. In: Proc. 2011 IEEE ICC (2011)
3GPP: Further advancements for E-UTRA physical layer aspects. TR 36.814, March 2010
Zhang, J., Ansari, N.: On Assuring End-to-End QoE in Next Generation Networks: Challenges and a Possible Solution. IEEE Communications Magazine 49(7), 185–191 (2011)
Reichl, P., Egger, S., Schatz, R., D’Alconzo, A.: The logarithmic nature of QoE and the role of the WEBER-Fechner law in QoE assessment. In: Proc. of IEEE ICC 2010, pp. 1-5 (2010)
Fiedler, M., Hossfeld, T., Phuoc, T.-G.: A generic quantitative relationship between quality of experience and quality of service. IEEE Network 24(2), 36–41 (2010)
Boyd, S., Vandenberghe, L.: Convex Optimization. Cambridge University Press (2004)
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Yuan, D., Teng, Y., Man, Y., Chen, M., Cheng, G., Wu, J. (2015). QoE-Oriented Resource Allocation for Femtocell Networks. In: Zu, Q., Hu, B., Gu, N., Seng, S. (eds) Human Centered Computing. HCC 2014. Lecture Notes in Computer Science(), vol 8944. Springer, Cham. https://doi.org/10.1007/978-3-319-15554-8_15
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DOI: https://doi.org/10.1007/978-3-319-15554-8_15
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