NDLI: Adaptive underlay cognitive radios with imperfect CSI and probabilistic interference constraints

Content Provider	IEEE Xplore Digital Library
Author	Marques, A.G. Lopez-Ramos, L.M. Giannakis, G.B. Ramos, J.
Copyright Year	2011
Description	Author affiliation: Dept. of Electrical and Computer Engineering, University of Minnesota, Minneapolis, USA (Giannakis, G.B.) \|\| Dept. of Signal Theory and Communications, King Juan Carlos University, Madrid, Spain (Marques, A.G.; Lopez-Ramos, L.M.; Ramos, J.)
Abstract	Efficient design of cognitive radios requires secondary users implementing adaptive resource allocation schemes that exploit knowledge of the channel state information (CSI), and limit interference to the primary system. In this paper, stochastic resource allocation algorithms are developed for underlay cognitive radios to maximize the sum-rate of secondary users while adhering to “average power” and “probability of interference” constraints. The latter guarantee that during most of the time the power interfering with primary receivers stays below a certain pre-specified level. Although the resultant optimization problem is non-convex, it exhibits zero-duality gap and can be efficiently solved. The optimal schemes are a function of the link quality of the secondary network, the activity of the primary users, and the Lagrange multipliers associated with the considered constraints. The focus is on developing algorithms that: i) employ stochastic approximation tools to estimate the multipliers; and ii) are able to cope with imperfections present in the CSI of the primary network.
Starting Page	161
Ending Page	164
File Size	265255
Page Count	4
File Format	PDF
ISBN	9781457721045
e-ISBN	9781457721052
DOI	10.1109/CAMSAP.2011.6135913
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	resource management approximation stochastic Complexity theory Noise measurement Cognitive radio imperfect channel state information
Content Type	Text
Resource Type	Article

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