Abstract
In this paper, we propose a cooperative strategy for OFDMA radio resource allocation based on game theory. The main novelty with respect to state-of-the-art is that the utility function considers the application-oriented Mean Opinion Score (MOS) rather than the gross data rate attributed to each user flow. In such a scenario, data flows compete in cooperative way in order to maximize the perceived Quality-of-Service (QoS). Experimental results show that the MOS achievable by the proposed resource allocation strategy is better than that one provided both by uncoordinated strategies based on water-filling and by cooperative strategies based on pure data rate maximization.
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References
Sadr, S., Anpalagan, A., Raahemifar, K.: Radio Resource Allocation Algorithms for the Downlink of Multiuser OFDM Communication Systems. IEEE Communications Survey & Tutorials 11(3), 92–106 (2009) (3rd quart.)
Han, Z., Ji, Z., Liu, K.J.R.: Fair Multiuser Channel Allocation for OFDMA Networks Using Nash Bargaining Solutions and Coalitions. IEEE Trans. on Comm. 53(8), 1366–1376 (2005)
Fudenberg, D., Tirole, J.: Game Theory. MIT Press, Cambridge (1991)
Han, Z., Ji, Z., Liu, K.J.R.: Non-Cooperative Resource Competition Game by Virtual Referee in Multi-Cell OFDMA Networks. IEEE Journal on Sel. Areas in Comm. 25(6), 1079–1089 (2007)
Noh, W.: A Distributed Resource Control for Fairness in OFDMA Systems: English-Auction Game with Imperfect Information. In: Proc. of IEEE GLOBECOM 2008 Conf., New Orleans (LA), November 30-December 4, pp. 1–6 (2008)
Saul, A., Auer, G.: Multiuser Resource Allocation Maximizing Perceived Quality. EURASIP Journal on Wireless Communications and Networking, Article ID 341869 2009, 1–15 (2009)
Ma, Y., Kim, D.I.: Rate-Maximization Scheduling Schemes for Uplink OFDMA. IEEE Trans. on Wireless Communications 8(6), 3193–3205 (2009)
WiMAX forum, Can WiMAX address your applications? (2005)
Choi, L.U., Irvlac, M.T., Steinbach, E., Nossek, J.A.: Sequence-level models for distortion-rate behaviour of compressed video. In: Proc. of IEEE ICIP 2005 Conf., Genoa (Italy), September 11-14, vol. 2, pp. 486–489 (2005)
Jorswieck, E.A., Larsson, E.G., Luise, M., Poor, H.V.: Game theory in signal processing and communications. IEEE Signal Processing Magazine, 17–18 (September 2009)
IEEE 802.16 Broadband Wireless Access Working Group. Channel Models for Fixed Wireless Applications (2001), http://wirelessman.org
Bohge, M., Gross, J., Wolisz, A.: The Potential of Dynamic Power and Sub-Carrier Assignments in Multi-User OFDM-FDMA Cells. In: Proc. of IEEE GLOBECOM 2005 Conf., St. Louis (MO), November 28-December 2, pp. 2932–2936 (2005)
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Sacchi, C., Granelli, F. (2010). QoS-Driven Radio Resource Allocation for OFDMA Networks Based on a Game Theoretical Approach. In: Vinel, A., Bellalta, B., Sacchi, C., Lyakhov, A., Telek, M., Oliver, M. (eds) Multiple Access Communications. MACOM 2010. Lecture Notes in Computer Science, vol 6235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15428-7_23
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DOI: https://doi.org/10.1007/978-3-642-15428-7_23
Publisher Name: Springer, Berlin, Heidelberg
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