Optimal and fair resource allocation for multiuser wireless multimedia transmissions
EURASIP Journal on Wireless Communications and Networking - Special issue on fairness in radio resource management for wireless networks
IEEE Transactions on Multimedia
A low-complexity cross-layer optimization algorithm for video communication over wireless networks
IEEE Transactions on Multimedia
Multiuser rate allocation games for multimedia communications
IEEE Transactions on Multimedia - Special issue on quality-driven cross-layer design for multimedia communications
Bargaining over the interference channel with total power constraints
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Quality-based resource brokerage for autonomous networked multimedia applications
IEEE Transactions on Circuits and Systems for Video Technology
Co-opetition strategy for collaborative multiuser multimedia resource allocation
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Competitive equilibrium bitrate allocation for multiple video streams
IEEE Transactions on Image Processing
Layer bargaining: multicast layered video over wireless networks
IEEE Journal on Selected Areas in Communications
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
Multi-hop Network Bandwidth Management Scheme Based on Cooperative Bargaining Models
Wireless Personal Communications: An International Journal
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Multiuser multimedia applications such as enterprise streaming, surveillance, and gaming are recently emerging, and they are often deployed over bandwidth-constrained network infrastructures. To ensure the quality of service (QoS) required by the delay-sensitive and bandwidth intensive multimedia data for these applications, efficient resource (bandwidth) management becomes paramount. We propose to deploy the well-known game theoretic concept of bargaining to allocate the bandwidth fairly and optimally among multiple collaborative users. Specifically, we consider two bargaining solutions for our resource management problem: the Nash bargaining solution (NBS) and the Kalai-Smorodinsky bargaining solution (KSBS). We provide interpretations for the two investigated bargaining solutions for multiuser resource allocation: the NBS can be used to maximize the system utility, while the KSBS ensures that all users incur the same utility penalty relative to the maximum achievable utility. The bargaining strategies and solutions are implemented in the network using a resource manager, which explicitly considers the application-specific distortion for the bandwidth allocation. We show that the bargaining solutions exhibit important properties (axioms) that can be used for effective multimedia resource allocation. Moreover, we propose several criteria for determining bargaining powers for these solutions, which enable us to provide additional flexibility in choosing solution by taking into consideration the visual quality impact, the deployed spatiotemporal resolutions, etc. We also determine the complexity of these solutions for our application and quantify the performance of the proposed bargaining-based resource strategies for different scenarios.