Network assisted power control for wireless data
Mobile Networks and Applications - Special issue on Mobile Multimedia Communications (MOMUC '99)
On No-Regret Learning, Fictitious Play, and Nash Equilibrium
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
A stackelberg game for power control and channel allocation in cognitive radio networks
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
What a cognitive radio network could learn from a school of fish
WICON '07 Proceedings of the 3rd international conference on Wireless internet
Optimizing for sparse training of Cognitive Radio networks
First International Workshop on Cognitive Wireless Networks
Distributed channel assignment in cognitive radio networks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
General distributed economic framework for dynamic spectrum allocation
Computer Communications
A potential game approach for uplink resource allocation in a multichannel wireless access network
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Information sharing in spectrum auction for dynamic spectrum access
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A noncooperative spectrum sensing game with maximum network throughput
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Game theory for cognitive radio networks: An overview
Computer Networks: The International Journal of Computer and Telecommunications Networking
GADIA: A greedy asynchronous distributed interference avoidance algorithm
IEEE Transactions on Information Theory
Distributed subchannel assignment in a two-hop network
Computer Networks: The International Journal of Computer and Telecommunications Networking
Selfish users in energy constrained ALOHA systems with power capture
Wireless Networks
Game theoretical approaches for transport-aware channel selection in cognitive radio networks
EURASIP Journal on Wireless Communications and Networking
Energy control game model for dynamic spectrum scanning
International Journal of Autonomous and Adaptive Communications Systems
Rank-based dynamic frequency hopping without strict coordination in IEEE 802.22 WRAN system
International Journal of Communication Systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
Multi-leader multi-follower Stackelberg model for cognitive radio spectrum sharing scheme
Computer Networks: The International Journal of Computer and Telecommunications Networking
Hierarchical spectrum market and the design of contracts for mobile providers
ACM SIGMOBILE Mobile Computing and Communications Review
A Survey of Cooperative Games for Cognitive Radio Networks
Wireless Personal Communications: An International Journal
| Hi-index | 0.06 |
In this work, we propose a game theoretic framework to analyze the behavior of cognitive radios for distributed adaptive channel allocation. We define two different objective functions for the spectrum sharing games, which capture the utility of selfish users and cooperative users, respectively. Based on the utility definition for cooperative users, we show that the channel allocation problem can be formulated as a potential game, and thus converges to a deterministic channel allocation Nash equilibrium point. Alternatively, a no-regret learning implementation is proposed for both scenarios and it is shown to have similar performance with the potential game when cooperation is enforced, but with a higher variability across users. The no-regret learning formulation is particularly useful to accommodate selfish users. Non-cooperative learning games have the advantage of a very low overhead for information exchange in the network. We show that cooperation based spectrum sharing etiquette improves the overall network performance at the expense of an increased overhead required for information exchange.