Design and Analysis of Local Decision Making Policies in Wireless Networks
An important task in wireless networking is management of resources like radio spectrum, which requires decentralized algorithms for resource allocation and interference minimization. The design of such methods is challenging in many ways. They should rely only on local information and computation, guarantee good overall network performance, and incoporate the fact that network users may try to manipulate the outcome in order to bias network behaviour in their own advantage. We develop such algorithms and analyze them using mathematical and game theoretical tools to obtain rigorous performance guarantees. Simulation results help to understand the robustness of our approaches to details from which the theoretical models abstract.
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UMIC Day'09
Großer Andrang am UMIC Day‘09
Second prize at the ACM WiNTECH 2009 contest won by TI
The Institute for Theoretical Information Theory (TI) was invited to demonstrate recent research on
ACM Mobile HCI 2009
15-18 September 2009, Bonn, co-organised by UMIC