Enabling location and environment awareness in cognitive radios
Computer Communications
Wireless Personal Communications: An International Journal
CRAHNs: Cognitive radio ad hoc networks
Ad Hoc Networks
Hybrid Modelling, Power Management and Stabilization of Cognitive Radio Networks
HSCC '09 Proceedings of the 12th International Conference on Hybrid Systems: Computation and Control
Wireless multihoming modeled as a multi-WLAN game
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
On game theoretic DSA-driven MAC for cognitive radio networks
Computer Communications
Dynamic frequency selection for cognitive radios based on game theory
CSNA '07 Proceedings of the IASTED International Conference on Communication Systems, Networks, and Applications
Distributed cooperation among cognitive radios with complete and incomplete information
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
Uplink power control and base station association in multichannel cellular networks
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
A power allocation strategy using game theory in cognitive radio networks
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Utilization of a Cooperative Multiagent System in the Context of Cognitive Radio Networks
MACE '09 Proceedings of the 4th IEEE International Workshop on Modelling Autonomic Communications Environments
Interference avoidance in networks with distributed receivers
IEEE Transactions on Communications
Opportunistic dynamic channel allocation based on chain store game
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
An auction-based incentive mechanism for non-altruistic cooperative ARQ via spectrum-leasing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Cooperative ARQ via auction-based spectrum leasing
IEEE Transactions on Communications
Time-Delay estimation in dispersed spectrum cognitive radio systems
EURASIP Journal on Advances in Signal Processing - Special issue on advanced signal processing for cognitive radio networks
IEEE Transactions on Signal Processing
GADIA: A greedy asynchronous distributed interference avoidance algorithm
IEEE Transactions on Information Theory
Efficient spectrum leasing via randomized silencing of secondary users
IEEE Transactions on Wireless Communications
The waterfilling game-theoretical framework for distributed wireless network information flow
EURASIP Journal on Wireless Communications and Networking - Special issue on dynamic spectrum access: from the concept to the implementation
A cross-layer resource allocation scheme for ICIC in LTE-Advanced
Journal of Network and Computer Applications
DRinK: a defense strategy of cooperative wireless terminals in a wireless multihoming environment
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Full length article: Statistical resource allocation for multi-band Cognitive Radio systems
Physical Communication
An auction-based MAC protocol for cognitive radio networks
International Journal of Communication Systems
A stackelberg game for spectrum leasing in cooperative cognitive radio networks
International Journal of Automation and Computing
Wireless Personal Communications: An International Journal
Optimal scheduling and power allocation in cooperate-to-join cognitive radio networks
IEEE/ACM Transactions on Networking (TON)
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Cognitive radio is frequently touted as a platform for implementing dynamic distributed radio resource management algorithms. In the envisioned scenarios, radios react to measurements of the network state and change their operation according to some goal driven algorithm. Ideally this flexibility and reactivity yields tremendous gains in performance. However, when the adaptations of the radios also change the network state, an interactive decision process is spawned and once desirable algorithms can lead to catastrophic failures when deployed in a network. This document presents techniques for modeling and analyzing the interactions of cognitive radio for the purpose of improving the design of cognitive radio and distributed radio resource management algorithms with particular interest towards characterizing the algorithms' steady-state, convergence, and stability properties. This is accomplished by combining traditional engineering and nonlinear programming analysis techniques with techniques from game to create a powerful model based approach that permits rapid characterization of a cognitive radio algorithm's properties. Insights gleaned from these models are used to establish novel design guidelines for cognitive radio design and powerful low-complexity cognitive radio algorithms. This research led to the creation of a new model of cognitive radio network behavior, an extensive number of new results related to the convergence, stability, and identification of potential and supermodular games, numerous design guidelines, and several novel algorithms related to power control, dynamic frequency selection, interference avoidance, and network formation. It is believed that by applying the analysis techniques and the design guidelines presented in this document, any wireless engineer will be able to quickly develop cognitive radio and distributed radio resource management algorithms that will significantly improve spectral efficiency and network and device performance while removing the need for significant post-deployment site management.