Pricing in computer networks: reshaping the research agenda
ACM SIGCOMM Computer Communication Review
Radio Resource Management for Wireless Networks
Radio Resource Management for Wireless Networks
Resource control for elastic traffic in CDMA networks
Proceedings of the 8th annual international conference on Mobile computing and networking
Integration of Pricing with Call Admission Control to Meet QoS Requirements in Cellular Networks
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Mobile Computing
Radio Resource Management with Utility and Pricing for Wireless LAN Hot-Spots
Wireless Personal Communications: An International Journal
A pricing model for high speed networks with guaranteed quality of service
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Enhanced cooperation in heterogeneous wireless networks using coverage adjustment
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
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This paper explores analytical Radio Resource Management models where the relationship between users and services is mapped through utility functions. Compared to other applications of these models to networking, we focus in particular on specific aspects of multimedia systems with adaptive traffic, and propose a novel framework for describing and investigating dynamic allocation of resources in wireless networks. In doing so, we also consider economic aspects, such as the financial needs of the provider and the users' reaction to prices. As an example of how our analytical tool can be used, in this paper we compare different classes of RRM strategies, e.g., Best Effort vs. Guaranteed Performance, for which we explore the relationships between Radio Resource Allocation, pricing, provider's revenue, network capacity and users' satisfaction. Finally, we present a discussion about Economic Admission Control, which can be applied in Best Effort scenarios to further improve the performance.