Abstract
Bandwidth limitations, resource greedy applications and an increasing number of voice and data users are straining the air interface of wireless networks. Hence, novel approaches and new algorithms to manage wireless bandwidth are needed. This paper unlocks the potential to improve the performance of overall system behavior by allowing users to change service level and/or service provider for a (small) price. The ability to dynamically re-negotiate service gives the user the power to control QoS while minimizing usage cost. On the other hand, the ability to dynamically change service level pricing allows the service providers to better manage traffic, improve resource usage and most importantly maximize their profit. This situation provides a surprising win-win situation for BOTH the service providers AND the users. In this paper, we present easy to implement online algorithms to minimize the overall usage cost to individual mobile users.
Supported in part by NSF under grant CCR-0098271, Airforce Grant, AFOSR F49620-02-1-0100 and Craves Family Professorship funds.
Supported in part by a gift from AT&T and McBride Endowed Chair funds.
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Kalyanasundaram, B., Velauthapillai, M., Waclawsky, J. (2003). Unlocking the Advantages of Dynamic Service Selection and Pricing. In: Petreschi, R., Persiano, G., Silvestri, R. (eds) Algorithms and Complexity. CIAC 2003. Lecture Notes in Computer Science, vol 2653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44849-7_12
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DOI: https://doi.org/10.1007/3-540-44849-7_12
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