Application of Mechanism Design in Opportunistic Scheduling under Cognitive Radio Systems
MESH '09 Proceedings of the 2009 Second International Conference on Advances in Mesh Networks
Adaptive online bandwidth allocation and reservation for QoS sensitive multimedia networks
Computer Communications
A survey on networking games in telecommunications
Computers and Operations Research
Cooperative control and potential games
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
On spectrum selection games in cognitive radio networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Framework for resource allocation in heterogeneous wireless networks using game theory
Proceedings of the Third international EURO-NGI network of excellence conference on Wireless systems and mobility in next generation internet
Using game theory to analyze wireless ad hoc networks
IEEE Communications Surveys & Tutorials
Spectrum trading in cognitive radio networks: A market-equilibrium-based approach
IEEE Wireless Communications
Impact of Quality of Service Constraints on the Performance of Spectrum Sharing Cognitive Users
Wireless Personal Communications: An International Journal
Queue Model Analysis for Spectrum-Sharing Cognitive Systems Under Outage Probability Constraint
Wireless Personal Communications: An International Journal
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Bandwidth is an extremely valuable and scarce resource, and may become congested to accommodate diverse services in wireless communications. To enhance the efficiency of bandwidth usage, the concept of cognitive radio has emerged as a new design paradigm. In this paper, a new bandwidth sharing algorithm is developed for cognitive radio networks. Under dynamically changing network environments, we formulate the bandwidth sharing problem as a two-way matching game model. In addition, modified game theory is adopted to reach a near Pareto optimal solution while avoiding bandwidth inefficiency. This approach can make the system more responsive to the current network situation. With a simulation study, it is demonstrated that the proposed scheme approximates an optimized solution under widely diverse traffic load intensities.