Abstract | ||
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This research proposes a dynamic service discrimination strategy for wireless multimedia services. In particular, bargaining solutions in the game theory are applied to allocate the limited resources to users for the purpose of proportional fairness. We assume that users can choose one of discriminated media services and multimedia resources are then allocated to users according to their service selections. In the mechanism, an efficiency function for the network manager and a utility function for users are devised to reflect quality of service and cost. The optimized service discrimination and resource allocation policy have been developed not only from user's standpoint, but also from network manager's. We illustrated experimental results with synthesis multimedia data and analyzed the effect of the proposed service differentiation and resource allocation algorithms. |
Year | Venue | Keywords |
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2010 | ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2: AGENTS | Multimedia resource allocation,Service discrimination,Game theory,Bargaining solution |
Field | DocType | Citations |
Computer science,Repeated game,Artificial intelligence,Simultaneous game,Strategy,Simulation,Implementation theory,Operations research,Simulations and games in economics education,Game theory,Sequential game,Non-cooperative game,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kwang Sup Shin | 1 | 4 | 1.78 |
Suk-ho Kang | 2 | 354 | 31.46 |
Jae-Yoon Jung | 3 | 297 | 31.94 |
Doug Young Suh | 4 | 77 | 19.96 |