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Utility-Based Power Control for Peer-to-Peer Cognitive Radio Networks with Heterogeneous QoS Constraints

dc.contributor.authorGatsis, Nikolaos
dc.contributor.authorGarcia Marques, Antonio
dc.contributor.authorGiannakis, Georgios B.
dc.description.abstractTransmit-power control is a critical task in cognitive radio (CR)networks. In the present contribution, adherence to hierarchies between primary and secondary users in a peer-to-peer CR network is enabled through distributed power control. Hierarchies are effected by imposing minimum and maximum bounds on a quality-of-service(QoS) metric, such as communication rate.These bounds translate to signal-to-interference-plus-noise ratio (SINR) constraints. Furthermore, a utility function captures each user's satisfaction with the received SINR. The novel power control strategy maximizes the total utility while respecting individual SINR constraints - a task recast as a convex optimization problem under a suitable relaxation. Sufficient conditions, realistic for practical CR networks, are provided to obtain the optimal power allocation from the solution of the relaxed problem. Finally, a low-overhead distributed algorithm for optimal power control is developed, and tested against competing alternatives via
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.titleUtility-Based Power Control for Peer-to-Peer Cognitive Radio Networks with Heterogeneous QoS Constraintses
dc.subject.unesco3325 Tecnología de las Telecomunicacioneses
dc.description.departamentoTeoría de la Señal y Comunicaciones

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Atribución-NoComercial-SinDerivadas 3.0 EspañaExcept where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España