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Journal Articles IEEE Networking Letters Year : 2019

Error Estimate and Fairness in Resource Allocation with Inaccurate Information Sharing

Abstract

In resource allocation systems, inaccurate information sharing situations are such that users can be aware, up to a small error, about the other users' demands and the available global resource (which can be insufficient to meet the overall demand). Consequently, given an allocation rule, users can predict an allocation that will not necessarily coincide with the actual one. In this work, we provide an estimation of the error for a number of allocation rules and compare their robustness in inaccurate information sharing settings.
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Dates and versions

hal-02311536 , version 1 (11-10-2019)

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Francesca Fossati, Deep Medhi, Stefano Moretti, Stefano Secci. Error Estimate and Fairness in Resource Allocation with Inaccurate Information Sharing. IEEE Networking Letters, 2019, 1 (4), pp.173-177. ⟨10.1109/LNET.2019.2946466⟩. ⟨hal-02311536⟩
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