Abstract
Next-generation wireless networks will enable the usage of different network technologies fully transparent to the user. Applications will be able to dynamically adapt to the conditions and technical constraints of the network. This vision requires a dynamic allocation of scarce network resources to different users. This paper presents simulation results from a model of admission control and dynamic resource allocation in wireless networks, in a two-provider, multiple-user scenario. The access allocation and connection procedure is implemented using an efficient (welfare maximizing) incentive mechanism for capacity allocation at both providers.
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References
Berezdivin, R., Breinig, R., Topp, R.: Next-generation wireless communications concepts and technologies. IEEE Communications Magazine 40, 108–116 (2002)
Saraydar, C., Mandayam, N., Goodman, D.: Efficient power control via pricing in wireless data networks. IEEE Transactions on Communications 50, 291–303 (2002)
Zhou, C., Honig, M., Jordan, S., Berry, R.: Utility-based resource allocation for wireless networks with mixed voice and data services. In: IEEE International Conference on Computer Communications and Networks, Miami, Florida, USA, pp. 485–488 (2002)
Marbach, P., Berry, R.: Downlink resource allocation and pricing for wireless networks. In: IEEE INFOCOM 2002 (2002)
Sun, J., Modiano, E., Zheng, L.: A novel auction algorithm for fair allocation of a wireless fading channel. In: Conference on Information Science and System, Princeton, NJ (March 2004)
Yaipairoj, S., Harmantzis, F.: Dynamic pricing with ”alternatives” for mobile networks. In: Proc. IEEE Wireless Comm. Networking Conf. (WCNC), pp. 457–470 (March 2004)
Lin, H., Chatterjee, M., Das, S.K., Basu, K.: Arc: An integrated admission and rate control framework for competitive wireless cdma data networks using non-cooperative games. IEEE Transactions on Mobile Computing 4, 243–258 (2005)
Reichl, P., Stiller, B., Ziegler, T.: Charging multi-dimensional QoS with the Cumulus Pricing Scheme. In: Proceedings of ITCom 2001, Denver, Colorado (August 2001)
Semret, N.: Market mechanisms for network resource sharing. PhD thesis, Columbia University, Center for Telecommunications Research (1999)
Maille, P., Tuffin, B.: Multi-bid auctions for bandwidth allocation in communication networks. In: 23rd IEEE Infocom Conference, Hong-Kong, China (2004)
Zeng, D., Cox, J., Dror, M.: Coordination of purchasing and bidding activities across markets. In: Proceedings of the 37th Hawaii International Conference on System Sciences (2004)
Beltran, F., Roggendorf, M.: Defining optimal bidding strategies in competitive auctions of divisible objects, Unpublished working paper, available on, http://dream.com.auckland.ac.nz
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© 2005 Springer-Verlag Berlin Heidelberg
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Beltrán, F., Roggendorf, M. (2005). A Simulation Model for the Dynamic Allocation of Network Resources in a Competitive Wireless Scenario. In: Magedanz, T., Karmouch, A., Pierre, S., Venieris, I. (eds) Mobility Aware Technologies and Applications. MATA 2005. Lecture Notes in Computer Science, vol 3744. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569510_6
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DOI: https://doi.org/10.1007/11569510_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29410-8
Online ISBN: 978-3-540-32031-9
eBook Packages: Computer ScienceComputer Science (R0)