Pricing in computer networks: reshaping the research agenda
ACM SIGCOMM Computer Communication Review
On congestion pricing in a wireless network
Wireless Networks
Wcdma for Umts
Resource control for elastic traffic in CDMA networks
Proceedings of the 8th annual international conference on Mobile computing and networking
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
Resource pricing and the evolution of congestion control
Automatica (Journal of IFAC)
Radio Resource Management with Utility and Pricing for Wireless LAN Hot-Spots
Wireless Personal Communications: An International Journal
A macroeconomic model for resource allocation in large-scale distributed systems
Journal of Parallel and Distributed Computing
Pricing computational resources in a dynamic grid
International Journal of Grid and Utility Computing
Impact of interference coupling - loss of convexity
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Priority based pricing for data traffic in WiMAX network
WONS'10 Proceedings of the 7th international conference on Wireless on-demand network systems and services
A brokering framework for large-scale heterogeneous systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Proceedings of the 9th ACM international symposium on Mobility management and wireless access
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In this paper we discuss utility functions models to study Radio Resource Management. Our goal is to identify the characteristics of the wireless systems which make such theoretical models, though challenging, very useful, as they allow to quantify the Quality of Service and to analytically investigate the users' satisfaction. Moreover, we show how, within a utility-based framework, it is possible to also study economic issues, besides more conventional technical aspects such as throughput or system capacity. Thus, when economics are taken into account by considering the financial needs of the provider and the users' reaction to prices, we are able to study wireless systems in a more realistic and appropriate way. Another key contribution of this paper is a discussion on how utility functions should be applied to the particular case of the radio resource. To this end, we extend classic economic concepts with an original proposal, better able to model the nature of the wireless services. Finally, by giving both analytical insight and numerical results, we compare different classes of RRM strategies and explore the relationships between Radio Resource Allocation, pricing, provider's revenue, network capacity and users' satisfaction.