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• W2000996820 abstract "This paper investigates the optimum source transmission strategy to maximize the capacity of a multiple-input single-output (MISO) amplify-and-forward relay channel, assuming source-relay channel mean feedback at the source. The challenge here is that relaying introduces a nonconvex structure in the objective function, thereby excluding the possible use of previous methods dealing with mean feedback that generally rely on the concavity of the objective function. A novel method is employed, which divides the feasible set into two subsets and establishes the optimum from one of them by comparison. As such, the optimization is transformed into the comparison of two nonnegative random variables in the Laplace Transform order, which is one of the stochastic orders. It turns out that the optimum transmission strategy is to transmit along the known channel mean and its orthogonal eigenchannels. The condition for rank-one precoding (beamforming) to achieve capacity is also determined. Our results subsume those for traditional MISO precoding with mean feedback." @default.
• W2000996820 created "2016-06-24" @default.
• W2000996820 creator A5020050741 @default.
• W2000996820 creator A5053252170 @default.
• W2000996820 date "2011-06-01" @default.
• W2000996820 modified "2023-09-24" @default.
• W2000996820 title "Source Optimization in MISO Relaying with Channel Mean Feedback: A Stochastic Ordering Approach" @default.
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• W2000996820 doi "https://doi.org/10.1109/icc.2011.5963510" @default.
• W2000996820 hasPublicationYear "2011" @default.
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