Recent research in wireless multimedia streaming has focused on optimizing the multimedia quality in isolation, at each station. However, the cross-layer transmission strategy deployed at one station impacts and is impacted by the other stations, as the wireless network resource is shared among all competing users. Hence, efficient and fair resource management for autonomous wireless multimedia users becomes very important. We consider quality-based fairness schemes based on axiomatic bargaining theory, which can ensure that the autonomous multimedia stations incur the same drop in multimedia quality as compared to a maximum achievable quality for each wireless station. Implementing this quality-based fairness solution in the time-varying channel condition requires high-computational complexity and communication overheads. Hence, we develop solutions that significantly reduce the computational complexity and communication overheads. Our simulations show that the proposed game-theoretic resource management can indeed guarantee desired utility-fair allocations when wireless stations deploy different cross-layer strategies.
|Number of pages||13|
|Journal||IEEE Transactions on Circuits and Systems for Video Technology|
|State||Published - Feb 2010|
Bibliographical noteFunding Information:
Manuscript received June 14, 2008; revised November 11, 2008. First version published September 9, 2009; current version published February 5, 2010. This work was supported by the National Science Foundation (NSF) Computer and Network Systems Grant 0831549, and the NSF Computing and Communication Foundations Grant 0541867. This paper was recommended by Associate Editor I. Ahmad.
- Axiomatic bargaining solution
- Cross-layer optimization
- Game-theoretic multimedia resource management
- Multiuser wireless resource management