Asymptotic optimality for distributed spectrum sharing using bargaining solutions
IEEE Transactions on Wireless Communications
Multi-agent Q-learning of channel selection in multi-user cognitive radio systems: a two by two case
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Probabilistic voting-theoretic strategies for resource allocation in heterogenous wireless networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
TCP throughput adaptation in WiMax networks using replicator dynamics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Competition and equilibrium in multiuser networks with multiple service providers
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Election games for resource allocation in multicarrier multiuser wireless networks
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Spectrum pricing games with bandwidth uncertainty and spatial reuse in cognitive radio networks
Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing
Multiagent Q-learning for aloha-like spectrum access in cognitive radio systems
EURASIP Journal on Wireless Communications and Networking
An investigation of stochastic market equilibrium in cognitive radio networks
IEEE Communications Letters
Economic Approaches for Cognitive Radio Networks: A Survey
Wireless Personal Communications: An International Journal
Pricing of spectrum reservation under overbooking
Electronic Commerce Research and Applications
A wise cost-effective supplying bandwidth policy for multilayer wireless cognitive networks
Computers and Operations Research
Behavior modeling for spectrum sharing in wireless cognitive networks
Wireless Networks
Review: A survey on interference management techniques in femtocell self-organizing networks
Journal of Network and Computer Applications
Wireless Personal Communications: An International Journal
Pricing-based decentralized spectrum access control in cognitive radio networks
IEEE/ACM Transactions on Networking (TON)
Equilibrium sensing time for distributed opportunistic access incognitive radio networks
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
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We consider the problem of spectrum trading with multiple licensed users (i.e., primary users) selling spectrum opportunities to multiple unlicensed users (i.e., secondary users). The secondary users can adapt the spectrum buying behavior (i.e., evolve) by observing the variations in price and quality of spectrum offered by the different primary users or primary service providers. The primary users or primary service providers can adjust their behavior in selling the spectrum opportunities to secondary users to achieve the highest utility. In this paper, we model the evolution and the dynamic behavior of secondary users using the theory of evolutionary game. An algorithm for the implementation of the evolution process of a secondary user is also presented. To model the competition among the primary users, a noncooperative game is formulated where the Nash equilibrium is considered as the solution (in terms of size of offered spectrum to the secondary users and spectrum price). For a primary user, an iterative algorithm for strategy adaptation to achieve the solution is presented. The proposed game-theoretic framework for modeling the interactions among multiple primary users (or service providers) and multiple secondary users is used to investigate network dynamics under different system parameter settings and under system perturbation.