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In this paper, the authors formulate an optimization problem for secure resource allocation and scheduling in Orthogonal Frequency Division Multiple Access (OFDMA) half-duplex Decode-and-Forward (DF) relay assisted networks. Their problem formulation takes into account artificial noise generation to combat a passive multiple antenna eavesdropper and the effects of imperfect Channel State Information at the Transmitter (CSIT) in slow fading. The optimization problem is solved by dual decomposition which results in a highly scalable distributed iterative resource allocation algorithm.
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