Matrix analysis
Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Dynamic spectrum leasing in cognitive radio networks via primary-secondary user power control games
IEEE Transactions on Wireless Communications
An auction-based incentive mechanism for non-altruistic cooperative ARQ via spectrum-leasing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Spectrum sharing in cognitive radio networks: an auction-based approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
IEEE Transactions on Wireless Communications
MAP: Multiauctioneer Progressive Auction for Dynamic Spectrum Access
IEEE Transactions on Mobile Computing
Spectrum Leasing to Cooperating Secondary Ad Hoc Networks
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
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The problem of resource allocation in a spectrum leasing scenario in cooperative cognitive radio networks is addressed. The system model consists of a number of primary user (PU) pairs and a secondary user (SU) pair. The SU pair allocates the whole its transmission power in a portion of transmission frame to relay the primary signals. In return, the PU pairs lease their unused portion of transmission frame to the SU pair. In this way, the PU pairs take advantage of their unused portion of time to gain savings in their transmission power. However, a few important questions must be answered: When to lease and how much to be leased. We determine when is beneficial for PUs to lease their unused spectrum portion to the SU and how much of PUs' resources is optimum to be leased. An efficient auction mechanism is proposed and the existence and uniqueness of the Nash Equilibrium (NE) for the proposed auction game is proved. Since the NE is the solution of a set of fixed point problems, two iterative algorithms, synchronous and asynchronous schemes, are proposed to reach the NE in an iterative manner and their convergence to the fixed point is also proved. Finally, the proposed auction is extended to a network with multiple secondary user pairs. Simulation results acknowledge the more efficient utilization of resources as a result of implementing the proposed auction based resource allocation.