Issue No. 10 - Oct. (2013 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2012.171
Dileep M. Kalathil , University of Southern California, Los Angeles
Rahul Jain , University of Southern California, Los Angeles
Development of dynamic spectrum access and allocation techniques recently have made feasible the vision of cognitive radio systems. However, a fundamental question arises: Why would licensed primary users of a spectrum band allow secondary users to share the band and degrade performance for them? And how can we design incentive schemes to enable spectrum sharing using cooperative communication schemes? We consider a principal-agent framework, and propose a contracts-based approach. First, a single primary and a single secondary transmitter-receiver pair with a Gaussian interference channel between them are considered. The two users may contract to cooperate in doing successive-interference cancellation. Under full information, we give equilibrium contracts for various channel conditions. These equilibrium contracts yield Pareto-optimal rate allocations when physically possible. We then allow for time-sharing and observe that in equilibrium contracts there is no actual time-sharing. We show that the designed contracts can be made robust to deviation by either user post-contract. We also show how these can be extended to multiple secondary users. We show that under hidden information, when the primary user has a dominant role, neither user has an incentive to lie about their direct channel coefficients, or manipulate the cross channel measurements, and Pareto-optimal outcomes are achieved at equilibrium.
Contracts, Resource management, Cognitive radio, Silicon carbide, Interference cancellation, Noise, Receivers, game theory, Contracts, Resource management, Cognitive radio, Silicon carbide, Interference cancellation, Noise, Receivers, contract design, Cognitive radios, cooperative communications, spectrum sharing
Dileep M. Kalathil, Rahul Jain, "Spectrum Sharing through Contracts for Cognitive Radios", IEEE Transactions on Mobile Computing, vol. 12, no. , pp. 1999-2011, Oct. 2013, doi:10.1109/TMC.2012.171