Stochastic resource allocation for orthogonal access based on quantized CSI: optimality, convergence and delay analysis

dc.contributor.author	Garcia Marques, Antonio
dc.contributor.author	Giannakis, Georgios B.
dc.contributor.author	Ramos, Javier
dc.date.accessioned	2009-06-22T11:29:29Z
dc.date.available	2009-06-22T11:29:29Z
dc.date.issued	2009-04-01T11:29:29Z
dc.identifier.issn	4244-2354
dc.identifier.uri	http://hdl.handle.net/10115/2240
dc.description.abstract	Dynamic allocation of power, rate and channel access is a critical task in wireless networks. Capitalizing on convex optimization and stochastic approximation tools, this paper develops a stochastic resource allocation algorithm that minimizes average transmit power under individual average rate constraints. Focus is placed on networks where users transmit orthogonally over a set of parallel channels and transmissions are adapted based on quantized channel state information (CSI) allowing even channel statistics to be unknown. Convergence of the developed stochastic scheme is characterized and the average queue delays are obtained in closed form.	es
dc.language.iso	en	es
dc.subject	Telecomunicaciones	es
dc.title	Stochastic resource allocation for orthogonal access based on quantized CSI: optimality, convergence and delay analysis	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.subject.unesco	3325 Tecnología de las Telecomunicaciones	es
dc.description.departamento	Teoría de la Señal y Comunicaciones