Cognitive MIMO radio: an emerging paradigm for enhancing wireless access capability
International Journal of Communication Networks and Distributed Systems
EURASIP Journal on Advances in Signal Processing - Special issue on game theory in signal processing and communications
Pricing-based decentralized rate allocation for multiple video streams
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Competitive equilibrium bitrate allocation for multiple video streams
IEEE Transactions on Image Processing
Scalable video multicast in cognitive radio networks
IEEE Journal on Selected Areas in Communications
Game theory for cognitive radio networks: An overview
Computer Networks: The International Journal of Computer and Telecommunications Networking
Spectrum auction games for multimedia streaming over cognitive radio networks
IEEE Transactions on Communications
Streaming scalable videos over multi-hop cognitive radio networks
IEEE Transactions on Wireless Communications
Video streaming over cognitive radio networks
Proceedings of the 4th Workshop on Mobile Video
International Journal of Network Management
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We propose to add a new dimension to existing wireless multimedia systems by enabling autonomous stations to dynamically compete for communication resources through adjustment of their internal strategies and sharing their private information. We focus on emerging spectrum agile wireless networks, where developing an efficient strategy for managing available communication resources is of high importance. The proposed dynamic resource management approach for wireless multimedia changes the passive way stations are currently adapting their joint source-channel coding strategies according to available wireless resources. Each wireless station can play the resource management game by adapting its multimedia transmission strategy depending on the experienced channel conditions and user requirements. The resource allocation game is coordinated by a network moderator, which deploys mechanism-based resource management to determine the amount of transmission time to be allocated to various users on different frequency bands such that certain global system metrics are optimized. Subsequently, the moderator charges the various users based on the amount of resources it has allocated to them, in order to discourage them from being dishonest about their resource requirements. We investigate and quantify both the users' and the system performance when different cross-layer strategies, and hence users' levels of smartness, are deployed by wireless stations. Our simulations show that mechanism-based resource management outperforms conventional techniques such as air-fair time and equal time resource allocation in terms of the obtained system utility. They also provide insights that can guide the design of emerging spectrum agile network protocols and applications