Revision as of 08:55, 29 September 2020

Abstract

This paper addresses the issue of pricing-based distributed resource allocation via scheduling in a communication network. Introducing the temporal aspect in the resource allocation problem presents new challenges e.g. in accounting for the durations and deadlines of the resource requests. Dynamic real-time pricing concepts are discussed for the decentralized sharing of network resources. A numerical example illustrates the benefit of congestion based pricing in a dynamic communication network. The quality of service that results from decentralized resource allocation is studied from the point of view of a power-controlled wireless network. The model is based on a dynamic noncooperative game and is related to recent work on centrally optimal (Pareto-optimal) distributed dynamic resource allocation.

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The different versions of the original document can be found in:

• https://link.springer.com/content/pdf/10.1007%2F3-540-47906-6_69.pdf

• http://link.springer.com/content/pdf/10.1007/3-540-47906-6_69,http://dx.doi.org/10.1007/3-540-47906-6_69

• https://link.springer.com/chapter/10.1007%2F3-540-47906-6_69,https://academic.microsoft.com/#/detail/142536348